Literature DB >> 28789584

Monoclonal antibodies: technologies for early discovery and engineering.

Patrick J Kennedy1,2,3,4, Carla Oliveira1,3, Pedro L Granja1,2,4,5, Bruno Sarmento1,2,6.   

Abstract

Antibodies are essential in modern life sciences biotechnology. Their architecture and diversity allow for high specificity and affinity to a wide array of biochemicals. Combining monoclonal antibody (mAb) technology with recombinant DNA and protein expression links antibody genotype with phenotype. Yet, the ability to select and screen for high affinity binders from recombinantly-displayed, combinatorial libraries unleashes the true power of mAbs and a flood of clinical applications. The identification of novel antibodies can be accomplished by a myriad of in vitro display technologies from the proven (e.g. phage) to the emerging (e.g. mammalian cell and cell-free) based on affinity binding as well as function. Lead candidates can be further engineered for increased affinity and half-life, reduced immunogenicity and/or enhanced manufacturing, and storage capabilities. This review begins with antibody biology and how the structure and genetic machinery relate to function, diversity, and in vivo affinity maturation and follows with the general requirements of (therapeutic) antibody discovery and engineering with an emphasis on in vitro display technologies. Throughout, we highlight where antibody biology inspires technology development and where high-throughput, "big data" and in silico strategies are playing an increasing role. Antibodies dominate the growing class of targeted therapeutics, alone or as bioconjugates. However, their versatility extends to research, diagnostics, and beyond.

Entities:  

Keywords:  Monoclonal antibody; antibody biology; antibody engineering; antibody selection strategy; in silico antibody; in vitro display technology

Mesh:

Substances:

Year:  2017        PMID: 28789584     DOI: 10.1080/07388551.2017.1357002

Source DB:  PubMed          Journal:  Crit Rev Biotechnol        ISSN: 0738-8551            Impact factor:   8.429


  25 in total

Review 1.  Considerations for the Design of Antibody-Based Therapeutics.

Authors:  Dennis R Goulet; William M Atkins
Journal:  J Pharm Sci       Date:  2019-06-04       Impact factor: 3.534

2.  Trends involving monoclonal antibody (mAb) research and commercialization: A scientometric analysis of IMS Lifecycle R&D Focus Database (1980-2016).

Authors:  Yunfeng Lai; Sizhuo Suo; Ruibing Wang; Xiangjun Kong; Yuanjia Hu; Daisheng Tang; Honghao Shi; Shengqi Chen; Hao Hu
Journal:  Hum Vaccin Immunother       Date:  2018-01-23       Impact factor: 3.452

Review 3.  Phage Display Libraries: From Binders to Targeted Drug Delivery and Human Therapeutics.

Authors:  Mouldy Sioud
Journal:  Mol Biotechnol       Date:  2019-04       Impact factor: 2.695

4.  Joined at the hip: The role of light chain complementarity determining region 2 in antibody self-association.

Authors:  Paul R Sargunas; Jamie B Spangler
Journal:  Proc Natl Acad Sci U S A       Date:  2022-07-01       Impact factor: 12.779

5.  Concentration-Independent Multivalent Targeting of Cancer Cells by Genetically Encoded Core-Crosslinked Elastin/Resilin-like Polypeptide Micelles.

Authors:  Patrick Weber; Michael Dzuricky; Junseon Min; Irene Jenkins; Ashutosh Chilkoti
Journal:  Biomacromolecules       Date:  2021-09-03       Impact factor: 6.978

6.  Separating clinical antibodies from repertoire antibodies, a path to in silico developability assessment.

Authors:  Christopher Negron; Joyce Fang; Michael J McPherson; W Blaine Stine; Andrew J McCluskey
Journal:  MAbs       Date:  2022 Jan-Dec       Impact factor: 6.440

7.  Engineered pH-dependent recycling antibodies enhance elimination of Staphylococcal enterotoxin B superantigen in mice.

Authors:  Andrew Kroetsch; Chunxia Qiao; Mairead Heavey; Leiming Guo; Dhaval K Shah; Sheldon Park
Journal:  MAbs       Date:  2018-12-11       Impact factor: 5.857

8.  Therapeutic Antibodies: An Overview.

Authors:  Gunnar Houen
Journal:  Methods Mol Biol       Date:  2022

9.  Assessment of Therapeutic Antibody Developability by Combinations of In Vitro and In Silico Methods.

Authors:  Adriana-Michelle Wolf Pérez; Nikolai Lorenzen; Michele Vendruscolo; Pietro Sormanni
Journal:  Methods Mol Biol       Date:  2022

10.  Selection of high-producing clones by a relative titer predictive model using image analysis.

Authors:  Weihong Tao; Waqas Ahmed; Meijin Guo; Ali Mohsin; Bing Wu; Rongxiu Li
Journal:  Ann Transl Med       Date:  2021-07
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