Literature DB >> 28621572

Changes to International Nonproprietary Names for antibody therapeutics 2017 and beyond: of mice, men and more.

Paul W H I Parren1,2,3, Paul J Carter1,4, Andreas Plückthun1,5.   

Abstract

Active pharmaceutical substances require an International Nonproprietary Name (INN) assigned by the World Health Organization (WHO) to obtain market authorization as a medicinal product. INNs are selected to represent a unique, generic name for a drug enabling unambiguous identification by stakeholders worldwide. INNs may be requested after initiating clinical development of an investigational drug. Pharmaceutical classes are indicated by a common stem or suffix. Currently, INNs for monoclonal antibody-based drugs are recognized by the suffix, -mab, preceded by a source infix such as -xi- (chimeric), -zu- (humanized) or -u- (human) designating the species from which the antibody was derived. However, many technological advances have made it increasingly difficult to accurately capture an antibody's source in its name. In 2014, the WHO and the United States Adopted Names (USAN) Council approached this challenge by implementing changes to antibody source infix definitions. Unfortunately, gaps and ambiguities in the definitions and procedures resulted in inconsistent source category assignments and widespread confusion. The Antibody Society, extensively supported by academic and industry scientists, voiced concerns leading to constructive dialog during scheduled consultations with WHO and USAN Council representatives. In June 2017, the WHO announced that use of the source infix will be discontinued for new antibody INNs effective immediately. We fully support this change as it better aligns antibody INNs with current and foreseeable future innovations in antibody therapeutics. Here we review the changes implemented. Additionally, we analyzed antibody INNs recently assigned under the previous 2014 definitions and provide recommendations for further alignment.

Entities:  

Keywords:  Chimeric; INN; International Nonproprietary Name; USAN; World Health Organization; drug development; humanization; immunotherapy; monoclonal antibody; therapeutic antibody

Year:  2017        PMID: 28621572      PMCID: PMC5590622          DOI: 10.1080/19420862.2017.1341029

Source DB:  PubMed          Journal:  MAbs        ISSN: 1942-0862            Impact factor:   5.857


Introduction

“The best laid schemes o' mice an' men / Gang aft a-gley.” This line of the well-known poem by Robert Burns eloquently expresses the notion that things, even though carefully planned, can often go wrong. In fact, this is what happened with well-intended changes to the definitions used to assign the source infix (substem) for (generic) INN and USAN for antibody therapeutics (see appendix for details). Specific concerns with respect to the changes in the INN and USAN source designations have previously been discussed in detail elsewhere.

Contemporary INNs lack transparency and consistency in source infix designations

The WHO and the USAN Council are not, to our knowledge, planning to change recommended INNs previously issued under the 2014 definitions. Therefore, we considered it important to reinvestigate nomenclature practices for contemporary INNs to identify and highlight shortcomings. We systematically analyzed all INN for antibody therapeutics as they occur in the most recent 2017 INNs Recommended List (RL77). The results summarized in Table 1 reinforce our previous concerns, and show that multiple inconsistencies occur for antibodies with a chimeric or humanized source designation. The four antibodies at the top of Table 1 all received a chimeric (-xi-) or mixed (-xizu-) INN designation; the latter referring to antibodies containing both a chimeric and a humanized heavy or light chain. Dinutuximab beta is based on mouse variable (V) domains fused to human constant (C) domains and therefore represents a genuine chimeric antibody generated via classic domain exchange. The other three antibodies categorized as chimeras or mixed by their INNs, in contrast, were humanized using common methods. The chimeric designation of andecaliximab highlights the drawbacks of using linear sequence homology to categorize therapeutic antibodies by source. For this antibody, a humanization procedure was used that employs non-contiguous human framework regions (FRs) aimed at minimizing T cell epitope content and reducing immunogenicity risks. Next, rozanolixizumab represents the INN with the least transparent source designation in RL77. Despite its mixed source -xizu- designation and its annotation as a “humanized and chimeric antibody,” the INN description (i.e. additional information published by WHO), only shows alignments of rozanolixizumab's variable region sequences with Homo sapiens VH and VL reference genes with 86.5 and 76% homology, respectively (ref. 3 and Table 1). The IMGT/DomainGapAlign searches saved for rozanolixizumab in IMGT/mAb-DB also exclusively show the same human reference genes. So if the reference genes are human, then what is the mixed source designation based on? Notably, rerunning the IMGT reference gene database search as described in Methods reveals that the light chain aligns more closely to macaque VL genes with 7 Macaca mulatta reference alleles showing slightly greater homology compared with the first human VL hit (i.e., 77–79% versus 76%, respectively; Table 2). Differences are subtle, however, with rozanolixizumab VL showing 20 amino acid changes in FR1- FR3 compared with both the top macaque (i.e., IGKV1-13*01 with 9 changes in FR1-3 and 11 in complementary-determining region (CDR)1–2) as well as the top human (i.e., IGKV1–17*01 with 8 changes in FR1–3 and 12 in CDR1–2) reference allele hit in IMGT/DomainGapAlign. The lower score for the human references allele can therefore be attributed to a slightly greater dissimilarity of the CDR-L3 which, in fact, was grafted from the parental rat antibody during humanization. Rozanolixizumab's light chain, therefore, reasonably should also have obtained a humanized source designation. Unexpectedly, it was assigned a mixed chimeric stem instead which, in addition, is at odds with the documentation provided by WHO about this particular INN. Multiple inconsistencies were also found for 10 of 14 antibodies with a humanized INN designation upon redoing the IMGT/DomainGapAlign search (Table 2). In most cases, we obtained a macaque reference gene as a top hit instead of the human gene listed, although in 2 instances mouse reference genes were also found.
Table 1.

Antibody names in Recommended INN: List 77.

  Heavy chain VHa
Light chain VLa
Notes
Antibody INNCommon nameTop hit speciesHomology (%)Top hit speciesHomology (%)Technology usedRefs
dinutuximab betaCh14.18Mus musculus83.3Mus musculus87Chimeric mouse Ab5
andecaliximabGS-5745Mus musculus82.5Mus musculus80Humanized by Antitope's Composite Human Antibody technology6
depatuxizumab mefadotinABT-806Homo sapiens84.5Mus musculus86.3Humanized mouse Ab; Antibody-drug conjugate7
rozanolixizumabUCB-7665Homo sapiens86.5Homo sapiens76Humanized rat Ab8
camrelizumabSHR-1210Homo sapiens90.8Homo sapiens87.4Humanized mouse Ab36
crizanlizumabSelG1Homo sapiens81.6Homo sapiens86.9Humanized mouse Ab37
daclizumab betaDAC HYPHomo sapiens82.7Homo sapiens84Humanized mouse Ab19
dezamizumabGSK-2398852Homo sapiens85.7Homo sapiens85.3Humanized mouse Ab38
eptinezumabALD-403Homo sapiens81.4Homo sapiens86.2Humanized rabbit Ab39
fremanezumab7E9Homo sapiens85.7Homo sapiens85.3Humanized mouse Ab40
gemtuzumab ozogamicinCDP-771Homo sapiens72.9Homo sapiens81.8Humanized mouse Ab; Antibody-drug conjugate41
ifabotuzumabKB004, IIIA4Homo sapiens91.8Homo sapiens91.6Humanized mouse Ab (Kalobios Humaneering)42
lutikizumabABT-981, SK48-E26,Homo sapiens81.6 (Fab 1)Homo sapiens82.1 (Fab 1)Humanized mouse Fab15
 X3Homo sapiens88.8 (Fab 2)Homo sapiens92.6 (Fab 2)Human Fab, cloned from B cells from a patient with autoimmune disease; DVD bispecific antibody16
rosmantuzumabOMP-131R10Homo sapiens84.5Homo sapiens83.8Humanized mouse Ab43
sacituzumabhRS7Homo sapiens85.7Homo sapiens82.2Humanized mouse Ab44
telisotuzumab vedotinABBV-399, ABT-700Homo sapiens92.9Homo sapiens85.1Humanized mouse Ab; Antibody-drug conjugate45, 46
trastuzumab duocarmazineSYD985, 4D5–8Homo sapiens81.6Homo sapiens86.3Humanized mouse Ab; Antibody-drug conjugate47
vunakizumabSHR-1314Homo sapiens82.7Homo sapiens80Humanized mouse Ab48
aprutumab ixadotinBAY 1179470Homo sapiens98Homo sapiens90.7Human BioInvent n-CoDeR phage display library; Antibody-drug conjugate49
burosumabKRN-23, UX-023Homo sapiens94.9Homo sapiens97.9Kirin-Medarex KM mouse platform50
brazikumabAMG-139, MEDI2070Homo sapiens99Homo sapiens96Abgenix Xenomouse platform51, 52
elezanumabABT-555, AE12–1YHomo sapiens92.9Homo sapiens89.9Phylos ProFusion mRNA display53
lupartumab amadotinBAY 1129980Homo sapiens92.9Homo sapiens87.9Human BioInvent n-CoDeR phage display; Antibody-drug conjugate54
remtolumabD2E7, A-1230717, ABT-122Homo sapiens93.9 (Fab1)Homo sapiens95.8 (Fab 1)Guided selection phage display55, 56
  Homo sapiens85.7 (Fab 2)Homo sapiens90.5 (Fab 2)Phylos ProFusion mRNA display; DVD bispecific antibody 
suptavumabREGN 2222, SAR438584Homo sapiens87.9Homo sapiens94.7Regeneron VelocImmune mice57
utomilumabPF-05082566Homo sapiens94.9Homo sapiens90Morphosys HuCal phage library58
ranevetmabNV-01Homo sapiens74.2Rattus norvegicus76.8Veterinary use Rat Ab caninized by Nexvet PETization59

Antibody INNs for which a different top hit relative to the species stated in RL77 was found are highlighted in red.

Table 2.

Inconsistencies in source infix designations analyzed for antibodies from RL77.

 Heavy chain
Light chain
Antibody INNTop hit species (searched May 2017)aHomology to top hit species (%)If different, homology to closest human (%)Top hit species (searched May 2017) aHomology to top hit species (%)If different, homology to closest human (%)
andecaliximabMus musculus82.571.1Macaca mulatta81.180
rozanolixizumabHomo sapiens86.5 Macaca mulatta79.0b76
camrelizumabHomo sapiens90.8 Macaca mulatta87.687.4
crizanlizumabHomo sapiens81.6 Macaca mulatta87.186.9
daclizumab betaMacaca fascicularis83.782.7Homo sapiens84.0 
dezamizumabHomo sapiens85.7 Macaca mulatta86.385.3
gemtuzumab ozogamicinMus musculus77.172.9Homo sapiens81.9 
lutikizumabFab 1- Homo sapiens81.6 Macaca mulatta82.482.1
 Fab 2- Homo sapiens88.8 Macaca mulatta94.492.6
rosmantuzumabHomo sapiens84.5 Macaca mulatta83.983.8
sacituzumabHomo sapiens85.7 Mus musculus83.282.2
trastuzumab duocarmazineHomo sapiens81.6 Macaca mulatta86.586.3
vunakizumabMacaca fascicularis84.782.7Mus musculus81.980

Results that differ from the closest reference gene or allele species shown in RL77 and as referenced in the IMGT/mAb-DB INN database are shown in red. New search was performed as stated in Methods. The homology to the closest human reference gene or allele is provided.

Search provides 7 Macaca mulatta reference alleles that have greater homology than the Homo sapiens reference allele.

Antibody names in Recommended INN: List 77. Antibody INNs for which a different top hit relative to the species stated in RL77 was found are highlighted in red. Inconsistencies in source infix designations analyzed for antibodies from RL77. Results that differ from the closest reference gene or allele species shown in RL77 and as referenced in the IMGT/mAb-DB INN database are shown in red. New search was performed as stated in Methods. The homology to the closest human reference gene or allele is provided. Search provides 7 Macaca mulatta reference alleles that have greater homology than the Homo sapiens reference allele. There may be multiple explanations for the observed inconsistencies. First, there is no precise definition of what constitutes “closer to human than to other species” in the reference database search. Presumably, an INN examiner may determine that a sequence aligns most closely to a human reference gene even if non-human genes score slightly higher but the observed homology is of similar magnitude (see appendix). This may be of particular relevance if the result is affected by differential alignment in CDR sequences. Macaque reference genes, for example, may obtain a higher IMGT/DomainGapAlign score through a closer homology with rodent CDRs or, due to an artifact of the local alignment algorithm by having no identity or similarity in the V gene termini (CDR3 and FR3), even though alignment for the corresponding region in the human counterpart is better. However, such subjectivity in assigning an appropriate source category is highly problematic as discussed above (Table 1). Second, results may vary over time as the composition of the IMGT gene reference database changes due to additional genome sequences becoming available in which specifically the addition of macaque germline reference genes with high allelic variation is of concern. Finally, inconsistencies will occur when an INN for an antibody contained in a novel compound was issued before the 2014 change in source definitions. This is exemplified by gemtuzumab ozogamicin. The INN for the antibody portion of this antibody-drug conjugate (ADC) was issued in 2001 without its sequence being made available. In fact, sequences have only been systematically disclosed in the INN description since RL57 released in 2007. The subjectivity and time-dependence of antibody INNs creates undesired uncertainties with respect to predicting and interpreting INN source categories. As noted, the USAN definition differs from INN by using an 85% sequence cut-off definition for distinguishing chimeric from humanized antibodies (appendix). When using the USAN definition, only 8 of 19 antibody heavy chains and 9 of 19 light chains would have obtained a humanized designation. Interestingly, rozanolixizumab's nomenclature would be consistent with USAN's definitions for a mixed source antibody. This antibody however has not been assigned a USAN, so the pre-existence of a USAN cannot explain the discrepancies described. Examining the 8 human antibodies in RL77, we observe no discrepancies, which is as expected due to the absence of a definition (Fig. 1; appendix). Ironically, the only antibody in RL77 derived from an immune response in a human individual (i.e., the second Fab in the bispecific DVD lutikizumab was cloned from a patient with auto-immune disease) did not earn the antibody a (mixed) human INN designation. The wide range of technologies used to access human sequences for generating therapeutic antibodies is noteworthy. These technologies include mRNA-display, multiple distinct phage-display and several distinct transgenic mice platforms (Table 1), and exemplify that therapeutic antibodies can have many origins (Fig. 2). Additional similar technologies, often used in conjunction, are being used to fill early pharmaceutical development pipelines. INNs requests for such antibodies can be expected for submission in the near future.
Figure 1.

The INN source substem for therapeutic antibodies. Antibody INNs issued until June 2017 (with the exception of the first antibody INN muromonab-CD3) contain a source infix designating the species. The antibody's origin determined the source infix until 2014. For antibody INN issued between 2014 and early 2017, the source infix was determined using a sequence alignment procedure, which led to inconsistent source infix designations for chimeric and humanized antibodies. No definitions to determine a human source existed (see appendix).

Figure 2.

An expanding toolbox for the generation of therapeutic antibodies that meet modern biopharmaceutical requirements. Therapeutic antibodies can be generated in many ways and capturing an antibody's source in a single syllable is therefore no longer possible.

The INN source substem for therapeutic antibodies. Antibody INNs issued until June 2017 (with the exception of the first antibody INN muromonab-CD3) contain a source infix designating the species. The antibody's origin determined the source infix until 2014. For antibody INN issued between 2014 and early 2017, the source infix was determined using a sequence alignment procedure, which led to inconsistent source infix designations for chimeric and humanized antibodies. No definitions to determine a human source existed (see appendix). An expanding toolbox for the generation of therapeutic antibodies that meet modern biopharmaceutical requirements. Therapeutic antibodies can be generated in many ways and capturing an antibody's source in a single syllable is therefore no longer possible. In summary, therapeutic antibody INNs as well as the accompanying description published in the INN Recommended List RL77 lack consistency and transparency in source infix designations for chimeric and humanized antibodies.

Fixing the source infix

On behalf of its members and scientists who signed an online petition, The Antibody Society engaged in discussions with the WHO INN expert group and representatives from the USAN Council and Food and Drug Administration (FDA) during the 62nd open consultation on INN for Pharmaceutic Substances in April 2016 and an ad hoc meeting on Biologicals in September 2016. The Antibody Society, in collaboration with key stakeholders, developed proposals to revise the INN system to provide scientifically sound, distinguishing names for therapeutic antibodies in current and future development. Two potential solutions were discussed. The first was to drop the use of the source infix and sequence alignments to categorize antibodies altogether. The second was to improve the current system, for example by generating a new expanded ‘engineered’ source infix which should take current and future developments in antibody generation technologies into account. Although no general consensus was reached at the workshop, dropping the source infix was a favored solution. Removing the source infix would, as a side effect, create more flexibility in the assignment of INNs. This is important as it was noted that, due the large increase in applications for biologicals, it is becoming increasingly difficult to design new distinguishable INNs. After considering all options, the WHO announced it was decided at the 64th consultation on INN for Pharmaceutical Substances held April 4–7, 2017 in Geneva, Switzerland that they will discontinue the use of the source infix in antibody INNs. The make-up of previous and new antibody INN nomenclature rules are summarized in Fig. 3.
Figure 3.

Antibody INN ABC. The general naming scheme for antibody INN before 2017 is compared with the new system. Prior to 2017, the random prefix was followed by a target infix (substem A) of which -t(u)- for tumor, -l(i)- for immunomodulatory, -c(i)- for cardiovascular, and -k(i)- for interleukin represented major classes. The source infix (substem B) indicated the source of which -xi- for chimeric, -zu- for humanized and -u- for human represented major classes (see the Bioreview (2014) for complete listing). In the new scheme, the source infix designating the species has been discontinued as recommended by the INN expert group during the 64th INN Consultation. To avoid confusion with earlier schemes, -ta- now designates tumor antigen. Furthermore, -ba- designates bacterial, -ami- serum amyloid protein(SAP)/amyloidosis, -ci- cardiovascular, -fung- fungal, -gros- skeletal muscle mass-related growth factors and receptors, -ki- interleukin, -li- immunomodulating, -ne- neural, -os- bone, -toxa- toxin and -vi- viral. The source infix -vet- for veterinary use antibodies is retained and added to the ‘target’ infix list. The suffix -mab represents the common stem for antibody therapeutics.

Antibody INN ABC. The general naming scheme for antibody INN before 2017 is compared with the new system. Prior to 2017, the random prefix was followed by a target infix (substem A) of which -t(u)- for tumor, -l(i)- for immunomodulatory, -c(i)- for cardiovascular, and -k(i)- for interleukin represented major classes. The source infix (substem B) indicated the source of which -xi- for chimeric, -zu- for humanized and -u- for human represented major classes (see the Bioreview (2014) for complete listing). In the new scheme, the source infix designating the species has been discontinued as recommended by the INN expert group during the 64th INN Consultation. To avoid confusion with earlier schemes, -ta- now designates tumor antigen. Furthermore, -ba- designates bacterial, -ami- serum amyloid protein(SAP)/amyloidosis, -ci- cardiovascular, -fung- fungal, -gros- skeletal muscle mass-related growth factors and receptors, -ki- interleukin, -li- immunomodulating, -ne- neural, -os- bone, -toxa- toxin and -vi- viral. The source infix -vet- for veterinary use antibodies is retained and added to the ‘target’ infix list. The suffix -mab represents the common stem for antibody therapeutics.

Antibody INNs: Beyond the source infix

The target infix (substem A) is determined by the target (molecule, cell or organ) class. The information provided by a single syllable can only in very general terms describe the intended target for an antibody, especially as an antibody's target molecule is often expressed on multiple cells in multiple organs. In addition, since therapeutic antibodies may be developed for additional or different indications after the INN has been assigned, the INN is not always consistent with the disease target. For example, rituximab includes the -tu- target infix consistent with its oncology but not inflammatory disease indications. Discontinuation of the target infix was discussed as a means of generating further flexibility in generating clearly distinct INNs for antibodies. Overall, arguments for discontinuing the target infix are less compelling and urgent than for the source infix. Optimizing or potentially discontinuing the use of the target infix should therefore be addressed in future discussions. Antibody INNs may sometimes contain a second word that is added to conjugates of antibodies with other molecules such as a toxin, chelator or chemical (e.g., the ADCs shown in Table 1). If the antibody also contains a radiolabel, the isotope is listed at the start of the INN (i.e., name of the isotope, element and isotope number followed by the generic antibody name). The INN does not contain a specific designation to specify that a substance is a fusion protein, although this is currently under discussion. Antibodies with identical amino acid sequence (or containing minor processing differences) but distinct glycosylation are provided with a new INN containing a Greek letter as a second word, e.g., daclizumab beta (Table 1). This antibody was generated from a new cell line using a distinct manufacturing process generating carbohydrate species that are more homogenously fucosylated than the originator product Zenapax®(daclizumab), thereby reducing IgG Fc receptor IIIa binding and antibody-dependent cell-mediated cytotoxicity. Finally, the second word ‘pegol’ indicates PEGylated antibodies, e.g., certolizumab pegol. The stem -mab has been used in INNs for all antibody-containing substances. However, the intention to introduce INNs for antibody-fusion proteins consisting of a single word containing the stem -fusp has been discussed. Although general consensus was not reached, it was decided to test the -fusp stem on 2 outstanding requests. For recombinantly expressed polyclonal antibodies (also known as designer polyclonals), each antibody in the mixture will usually require a separate INN. However, this may not be appropriate for recombinant polyclonal antibodies manufactured using single batch production strategies. In a USAN, the suffix -pab may then be used, such as in rozrolimupab, which comprised 25 different recombinant anti-rhesus D antibodies. A suffix for such recombinant polyclonal drug substances is not available for INNs, but in view of future development should likely be considered.

Beyond INN

In some cases, a prefix may be added to specific antibody products to avoid medication errors and facilitate pharmacovigilance. The FDA, for example, included the prefix ado- to the ADC ado-trastuzumab emtansine (Kadcyla) to distinguish it from the non-drug conjugated trastuzumab. This is to mitigate the risk that the name is misread or mislabeled and to avoid administration of the wrong drug, which could lead to serious adverse events. Further use of prefixes for specific drugs should be considered as additional conjugates with the same antibody are being developed (e.g., trastuzumab duocarmazine (Table 1)). The addition of a Biological Qualifyer (BQ) to the INN has also been extensively discussed by WHO, the USAN Council and the FDA. It is envisioned that each biologic product, including originator products, related biologic products and biosimilars, would obtain an additional suffix. The WHO proposed the use of a random 4-letter code supplemented with a 2-digit checksum as a BQ, which should be used in conjunction with the INN to uniquely identify an antibody product to promote world-wide pharmacovigilance. The BQ would furthermore help the accurate identification of antibody products by health care providers and patients and avoid unintended substitution. Although the BQ is considered an important issue, details are still being worked out while a pilot program with regulators is being discussed. The FDA recently released an Industry Guidance document proposing the use of a 4-letter suffix as a biologic qualifier. Three biosimilar antibody products have so far been issued such a suffix, these include adolimumab-atto (Amjevita), infliximab-dyyb (Inflectra) and infliximab-abda (Renflexis). A further alignment between regulatory authorities will be essential to achieve consistency and maximal leverage of the approach.

Future perspectives

The WHO decision to discontinue the use of the source infix in antibody INNs is an important step forward and addresses the concerns and objections raised by The Antibody Society on behalf of many academic and industry scientists in the antibody field. The new naming scheme accepted at the 64th Consultation has swiftly been implemented by WHO as we have learned that it has already been adopted in INNs currently proposed to applicants. Since the shortcomings of the 2014 source definitions extend to the Additional Information provided in the INN description (e.g., as in RL77 discussed here), we urge the WHO INN expert group to completely retire the use of categorizing therapeutic antibodies for source by using sequence alignments. The WHO announced that the INN description is envisioned to contain more extensive information on the antibody's origin and that information regarding the species on which the antibody's sequence is based will continue to be included in the definition for antibody INN. We fully support the inclusion of more precise information of the antibody's origin and generation in the INN description. However, continuing the practice of describing antibodies as chimeric, humanized and human in the INN description on the basis of ambiguous and inconsistent definitions, in spite of discontinuing the source infix in the actual INN, would be a very poor solution that should be reconsidered. Going forward, we request the WHO to consider omitting the source infix from antibody INNs currently under discussion (e.g., INNs in the 2016 Proposed List PL116), as well as to review anomalies in previously assigned INNs. Most importantly, discontinuing the use of sequence alignments to determine an antibody's origin in the INN description would allow the most complete resolution of the issue.

Methods

Database analysis of antibody INNs

The antibody names in the Recommended INN: List 77 were examined. The assigned VH and VL reference genes or alleles were searched in IMGT/mAb-DB using the INN as “General Query” and examined in the IMGT/2D structure-DB card for the INNs using the link provided in the Table on the respective IMGT/mAb-DB result page. The saved IMGT/DomainGapAlign results were accessed using the links provided at the bottom in the box designating the V-domain of the heavy and light chain, respectively. This link provides the top 5 “Closest reference gene and allele(s) from the IMGT V domain directory.” The top hit corresponds to the reference gene and species listed in RL77. The top hit and percentage homology are noted in Table 1 in this manuscript. Next, a new IMGT/DomainGapAlign search against the current databased was performed by scrolling to the top of the page and executing “Align and IMGT -gap my sequence(s).” Searches were performed against the database available in weeks 17 and 18 (2017). Antibodies for which a different top hit relative to the species stated in RL77 was found are highlighted in red in Table 1 and further details are provided in Table 2. Patent applications and patents can be accessed via https://worldwide.espacenet.com/.

Web-based materials

All links and searches in this manuscript were checked for accuracy at the time of writing. Since links may become inoperative or linked information may be retired or changed, relevant copies are being kept on file at The Antibody Society and may be accessed in the “member's only” area on The Antibody Society's website (http://www.antibodysociety.org) or directly requested from the authors.
  19 in total

1.  A fully caninised anti-NGF monoclonal antibody for pain relief in dogs.

Authors:  David P Gearing; Elena R Virtue; Robert P Gearing; Alexander C Drew
Journal:  BMC Vet Res       Date:  2013-11-09       Impact factor: 2.741

2.  IMGT/DomainGapAlign: IMGT standardized analysis of amino acid sequences of variable, constant, and groove domains (IG, TR, MH, IgSF, MhSF).

Authors:  François Ehrenmann; Marie-Paule Lefranc
Journal:  Cold Spring Harb Protoc       Date:  2011-06-01

3.  Characterization of ABT-806, a Humanized Tumor-Specific Anti-EGFR Monoclonal Antibody.

Authors:  Edward B Reilly; Andrew C Phillips; Fritz G Buchanan; Gillian Kingsbury; Yumin Zhang; Jonathan A Meulbroek; Todd B Cole; Peter J DeVries; Hugh D Falls; Christine Beam; Jinming Gu; Enrico L Digiammarino; Joann P Palma; Cherrie K Donawho; Neal C Goodwin; Andrew M Scott
Journal:  Mol Cancer Ther       Date:  2015-03-02       Impact factor: 6.261

4.  p185HER2 monoclonal antibody has antiproliferative effects in vitro and sensitizes human breast tumor cells to tumor necrosis factor.

Authors:  R M Hudziak; G D Lewis; M Winget; B M Fendly; H M Shepard; A Ullrich
Journal:  Mol Cell Biol       Date:  1989-03       Impact factor: 4.272

5.  High-level expression of chimeric antibodies using adapted cDNA variable region cassettes.

Authors:  S D Gillies; K M Lo; J Wesolowski
Journal:  J Immunol Methods       Date:  1989-12-20       Impact factor: 2.303

6.  ABBV-399, a c-Met Antibody-Drug Conjugate that Targets Both MET-Amplified and c-Met-Overexpressing Tumors, Irrespective of MET Pathway Dependence.

Authors:  Jieyi Wang; Mark G Anderson; Anatol Oleksijew; Kedar S Vaidya; Erwin R Boghaert; Lora Tucker; Qian Zhang; Edward K Han; Joann P Palma; Louie Naumovski; Edward B Reilly
Journal:  Clin Cancer Res       Date:  2016-08-29       Impact factor: 12.531

7.  Preclinical Efficacy of the Auristatin-Based Antibody-Drug Conjugate BAY 1187982 for the Treatment of FGFR2-Positive Solid Tumors.

Authors:  Anette Sommer; Charlotte Kopitz; Christoph A Schatz; Carl F Nising; Christoph Mahlert; Hans-Georg Lerchen; Beatrix Stelte-Ludwig; Stefanie Hammer; Simone Greven; Joachim Schuhmacher; Manuela Braun; Ruprecht Zierz; Sabine Wittemer-Rump; Axel Harrenga; Frank Dittmer; Frank Reetz; Heiner Apeler; Rolf Jautelat; Hung Huynh; Karl Ziegelbauer; Bertolt Kreft
Journal:  Cancer Res       Date:  2016-08-19       Impact factor: 12.701

8.  Characterisation of a Novel Anti-CD52 Antibody with Improved Efficacy and Reduced Immunogenicity.

Authors:  Robert G E Holgate; Richard Weldon; Timothy D Jones; Matthew P Baker
Journal:  PLoS One       Date:  2015-09-15       Impact factor: 3.240

9.  Anti-c-Met monoclonal antibody ABT-700 breaks oncogene addiction in tumors with MET amplification.

Authors:  Jieyi Wang; Liliane Goetsch; Lora Tucker; Qian Zhang; Alexandra Gonzalez; Kedar S Vaidya; Anatol Oleksijew; Erwin Boghaert; Minghao Song; Irina Sokolova; Ekaterina Pestova; Mark Anderson; William N Pappano; Peter Ansell; Anahita Bhathena; Louie Naumovski; Nathalie Corvaia; Edward B Reilly
Journal:  BMC Cancer       Date:  2016-02-16       Impact factor: 4.430

10.  The INNs and outs of antibody nonproprietary names.

Authors:  Tim D Jones; Paul J Carter; Andreas Plückthun; Max Vásquez; Robert G E Holgate; Isidro Hötzel; Andrew G Popplewell; Paul W H I Parren; Markus Enzelberger; Hendrik J Rademaker; Michael R Clark; David C Lowe; Bassil I Dahiyat; Victoria Smith; John M Lambert; Herren Wu; Mary Reilly; John S Haurum; Stefan Dübel; James S Huston; Thomas Schirrmann; Richard A J Janssen; Martin Steegmaier; Jane A Gross; Andrew R M Bradbury; Dennis R Burton; Dimiter S Dimitrov; Kerry A Chester; Martin J Glennie; Julian Davies; Adam Walker; Steve Martin; John McCafferty; Matthew P Baker
Journal:  MAbs       Date:  2016       Impact factor: 5.857

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  9 in total

1.  Generation and characterization of a high affinity anti-human FcRn antibody, rozanolixizumab, and the effects of different molecular formats on the reduction of plasma IgG concentration.

Authors:  Bryan Smith; Andrea Kiessling; Rocio Lledo-Garcia; Kate L Dixon; Louis Christodoulou; Matthew C Catley; Paul Atherfold; Lena E D'Hooghe; Helene Finney; Kevin Greenslade; Hanna Hailu; Lara Kevorkian; Daniel Lightwood; Christoph Meier; Rebecca Munro; Omar Qureshi; Kaushik Sarkar; Sophie P Shaw; Roohi Tewari; Alison Turner; Kerry Tyson; Shauna West; Stevan Shaw; Frank R Brennan
Journal:  MAbs       Date:  2018-09-12       Impact factor: 5.857

2.  Rabbits transgenic for human IgG genes recapitulating rabbit B-cell biology to generate human antibodies of high specificity and affinity.

Authors:  Francesca Ros; Sonja Offner; Stefan Klostermann; Irmgard Thorey; Helmut Niersbach; Sebastian Breuer; Grit Zarnt; Stefan Lorenz; Juergen Puels; Basile Siewe; Nicole Schueler; Tajana Dragicevic; Dominique Ostler; Imke Hansen-Wester; Valeria Lifke; Brigitte Kaluza; Klaus Kaluza; Wim van Schooten; Roland Buelow; Alain C Tissot; Josef Platzer
Journal:  MAbs       Date:  2020 Jan-Dec       Impact factor: 5.857

3.  The Perspective of Therapeutic Antibody Marketing in Iran: Trend and Estimation by 2025.

Authors:  Monireh Golpour; Pouya Vatanpour; Mina Amini; Majid Saeedi; Nasim Hafezi; Alireza Rafiei
Journal:  Adv Pharmacol Pharm Sci       Date:  2021-03-30

4.  The human antibody sequence space and structural design of the V, J regions, and CDRH3 with Rosetta.

Authors:  Samuel Schmitz; Emily A Schmitz; James E Crowe; Jens Meiler
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 6.440

5.  Systematic analysis of the varied designs of 819 therapeutic antibodies and Fc fusion proteins assigned international nonproprietary names.

Authors:  Ian Wilkinson; Geoff Hale
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 6.440

Review 6.  Nomenclature of humanized mAbs: Early concepts, current challenges and future perspectives.

Authors:  Patrick Mayrhofer; Renate Kunert
Journal:  Hum Antibodies       Date:  2019

7.  Lessons learned from merging wet lab experiments with molecular simulation to improve mAb humanization.

Authors:  L Schwaigerlehner; M Pechlaner; P Mayrhofer; C Oostenbrink; R Kunert
Journal:  Protein Eng Des Sel       Date:  2018-07-01       Impact factor: 1.952

Review 8.  New Approaches to Targeting B Cells for Myasthenia Gravis Therapy.

Authors:  Ruksana Huda
Journal:  Front Immunol       Date:  2020-02-21       Impact factor: 7.561

9.  Humanization of antibodies using a machine learning approach on large-scale repertoire data.

Authors:  Claire Marks; Alissa M Hummer; Mark Chin; Charlotte M Deane
Journal:  Bioinformatics       Date:  2021-06-10       Impact factor: 6.931

  9 in total

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