Literature DB >> 26042736

Open access target validation is a more efficient way to accelerate drug discovery.

Wen Hwa Lee1.   

Abstract

There is a scarcity of novel treatments to address many unmet medical needs. Industry and academia are finally coming to terms with the fact that the prevalent models and incentives for innovation in early stage drug discovery are failing to promote progress quickly enough. Here we will examine how an open model of precompetitive public-private research partnership is enabling efficient derisking and acceleration in the early stages of drug discovery, whilst also widening the range of communities participating in the process, such as patient and disease foundations.

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Year:  2015        PMID: 26042736      PMCID: PMC4456377          DOI: 10.1371/journal.pbio.1002164

Source DB:  PubMed          Journal:  PLoS Biol        ISSN: 1544-9173            Impact factor:   8.029


Open Innovation: Fifty Shades of Grey?

The rate at which new drugs are being discovered has flatlined despite massive investment in research and development (R & D) and new technologies, and there is a common belief that the pharmaceutical business model might be flawed [1,2]. Despite a recent upward trend, the number of “first-in-class” therapies has not changed significantly. The fundamental problem is that our understanding of human biology and pathophysiology is too poor to be able to predict the right drug targets for the right patient populations. Therefore, the widespread aversion of institutions and public and private funders to share information prior to and after publication and the overprotection of intellectual property in order to provide return on investment are amongst the most counterproductive practices to the discovery of new medicines. This strategy is at odds with the evidence for enhancing commercial outcomes as well. Most universities lose money through their technology transfer activities [3] with some notable few exceptions. Most start-up companies do not have a patent at the outset, and it is common that current patenting activities are used to restrict and limit possible uses of underdeveloped discoveries [4]—a true Tragedy of the Anticommons. In the last decades, the pharmaceutical industry has accessed many innovative ideas and products through mergers, takeovers, and in-licensing. This trend follows the concepts of Open Innovation, as defined by Chesbrough [5,6], in which companies improve their competitiveness by entering into open external partnerships. However, Open Innovation appears to have had very little impact on the trajectory of drug discovery, presumably because such partnerships most often only involve inward flow of knowledge or exclusive exchanges between a limited number of partners. On occasion, they involve outflow of assets, but these assets are typically restricted to a few appointed groups and with strings attached. Open Innovation as exercised above is an advance, but its true impact remains to be seen. On the other hand, there are several initiatives in the biomedical research area that are true to the public’s understanding of the term “open” and that practice a genuine open access or open source and precompetitive scientific commons approach. These projects appear to have had significant impact, and some have been transformational, including the Single Nucleotide Polymorphisms Consortium (1999; [7]), the International HapMap Project (2002; [8]), the Open Source Malaria Project (2011; [9]), and the Structural Genomics Consortium (SGC) (2003; [10]; www.thesgc.org). It is important to reiterate that drug discovery is a long and intricate process with different types of challenges and thus different approaches. In the early hypothesis generation stages, it makes sense for different communities to join efforts to create novel, open research tools that can be used by everyone [11]. This is in contrast to late, derisked stages, where different groups can begin development of their own proprietary products [12]. As such, we will be examining the impact of open access in early stages of drug discovery, especially in target discovery and validation, as these are strong indicators of success in creating new medicines.

Open Access to Eliminate Choke Points in Early Target Discovery

The SGC was formed in 2003 with the open access ethos as its core tenet and has since catalysed research in new areas of human biology and drug discovery by focusing to a large extent on less well-studied areas of human biology and disease. The SGC, strongly supported by its pharmaceutical industry partners, places all its research output and reagents, including industry-standard small molecule chemical inhibitors (probes) in the public domain without restriction on use. These are used widely to interrogate protein targets and signalling pathways to further our understanding of disease mechanisms, for instance. The establishment of a precompetitive and patent-free consortium has had many advantages; some were obvious and others unexpected. What was clear at the outset was that adhering to open access principles allowed cross-leveraging of public and private funds to explore novel areas of human biology in an organised way, thus reducing duplication and sharing the risks and costs that no single institution could bear alone. It was also clear that it would place the emphasis on the science and on accelerating the transfer of knowledge to the scientific community, rather than on commercial interests. The SGC has disseminated tens of thousands of cDNA clones and thousands of samples of several chemical inhibitors, with hardly any transactional costs. Hundreds of academic papers report the use of SGC-generated reagents, and across the pharmaceutical and biotechnology sectors, SGC reagents are used daily to advance internal drug discovery programs. What was less appreciated was the extent to which the consortium’s position would resonate with the academic and clinical communities. The SGC collaborative network now comprises of scientists in hundreds of institutions around the world—all of whom have committed to the open access principles and who contribute their ideas and results to the public domain. The value of this collaborative network and of the network of academics making discoveries with SGC chemical probes is difficult to quantify, but a rough comparator is the fact that industry typically budgets hundreds of thousands of dollars to fund and manage even a single collaboration. Given that the SGC collaborates with over 300 different laboratories and has disseminated over 4,000 samples of chemical probes so far, one may argue that its open-access network provides hundreds of millions of dollars of value.

Open Access Drives Faster Pioneering Science

Epigenetics is an exciting area of biology that has gained a large degree of attention over the last few years, holding a vast potential for drug discovery [13]. However, despite there being more than 400 proteins known to be involved in epigenetic regulation [14], as of 2010, only one target family, histone deacetylases (HDACs), comprised of more than 20 proteins, had been targeted by cell active inhibitors in the public domain. Appreciating that the other proteins and protein families implicated in epigenetic regulation were likely important, in 2005, the SGC began to purify them and solve their 3-D structures. In 2009, after having made significant progress, GlaxoSmithKline (GSK) approached SGC with the “outside-the-box” idea to design highly-potent, highly-selective inhibitors of these proteins using structure-guided methods and to provide them to the community without restrictions. The concept was that these probes would be rapidly used by the community to help define the roles of the proteins in human biology, as exemplified by past experiences with similar approaches in the field of probes for nuclear receptors [11]. With funding from the Wellcome Trust and the Ontario government, and medicinal chemistry expertise from industrial partners, the project was launched and focused on underexplored protein families such as lysine demethylases (KDMs; [15-19]), histone methyltransferases (HMTs; [20-24]), and Bromodomains [25-27] (full list of SGC probes: www.thesgc.org/chemical-probes/epigenetics). The open access model provided the framework to receive invaluable advice from scientists at GSK about the bromodomains protein family. Based on insights from GSK scientists, we initiated a collaboration on the role of the BRD4 bromodomain in NUT midline carcinoma—an incurable rare cancer. Within 11 months, a small molecule called SGCBD01 (aka JQ1) was designed, synthesised, and used to show that inhibition of BDR4 promoted both differentiation and apoptosis of patient-derived primary cells [28,29]. The rapid progress made with bromodomains is a testament to the power of open access, but the true value of open science emerged once SGCBD01 or JQ1 and additional probes by GSK (I-BET) [30] and Pfizer (PFI-1) [31] were distributed to the community. Within half a year, these compounds were used by the community to link bromodomains to septic shock [30], leukaemia [32,33], multiple myeloma [34], cardiac hypertrophy [35,36], HIV infection [34,37,38], and MYC regulation [34,38].

Open Access Generates Pioneering Drug Programmes and Clinical Studies Quicker—for Everyone

Discoveries based on the use of small molecule probes are highly valued by industry and academia, and experience shows that availability of potent, specific, drug-like chemical compounds (probes) increases the chances of final success in drug discovery programs [11]. The probes enable the definition and validation of targets and pathways, using experimental systems that resemble final and approved therapeutic modalities, in its cellular context [39]. The aim of the SGC in producing open-access chemical probes was to spur and accelerate innovative drug discovery (Fig 1). The breadth, depth, and reproducibility of numerous studies enabled by high-quality BET bromodomains chemical probes led to the registration of the first clinical trial aimed at this class of proteins by GSK in April 2012 (Clinical Trial Registration: NCT01587703), 16 months after the seminal publication on targeting BRD4 histone reader with SGCBD01 or JQ1 (28). Currently, there are twelve clinical trials with BET bromodomains inhibitors registered (Table 1).
Fig 1

Open science accelerates identification of the best targets and drug indications, in the correct patient population.

The Closed (upper half) model is compared to the Open (lower half) model; the availability of open access chemical tools for novel proteins and the freedom to operate enable the global community to explore different indications and diseases in parallel and quickly share back through publications. The breadth and depth of the studies in the open model lower the risks of failure in subsequent stages in a typical drug discovery programme, allowing the scientists to focus on the most promising indications, whilst reducing the level of effort (open squares), wastage, and duplication engendered by secrecy of the closed models.

Table 1

Clinical trials targeting bromodomains and registered on ClinicalTrials.gov (National Library of Medicine and National Institutes of Health, United States), as of 1 January 2015.

NCT NumberTitleConditionsMoleculeSponsor or CollaboratorsPhasesFirst Received
NCT01587703 A Study to Investigate the Safety, Pharmacokinetics, Pharmacodynamics, and Clinical Activity of GSK525762 in Subjects With NUT Midline Carcinoma (NMC) and Other CancersCarcinoma, midlineDrug: GSK525762GlaxoSmithKlinePhase 13 April 2012
NCT01713582 A Phase I, Dose-finding Study of the Bromodomain (Brd) Inhibitor OTX015 in Haematological MalignanciesAcute leukaemia, other hematological malignaciesDrug: OTX015OncoEthixPhase 122 October 2012
NCT01949883 A Phase 1 Study Evaluating CPI-0610 in Patients With Progressive LymphomaLymphomaDrug: CPI-0610Constellation Pharmaceuticals, The Leukaemia and Lymphoma SocietyPhase 110 September 2013
NCT01987362 A Two Part, Multicenter, Open-label Study of TEN-010 Given SubcutaneouslySolid tumorsDrug: TEN-010Tensha TherapeuticsPhase 15 November 2013
NCT02157636 A Phase 1 Study Evaluating CPI-0610 in Patients With Previously Treated Multiple MyelomaMultiple myelomaDrug: CPI-0610Constellation Pharmaceutical, The Leukaemia and Lymphoma SocietyPhase 128 May 2014
NCT02158858 A Phase 1 Study Evaluating CPI-0610 in Patients With Acute Leukaemia, Myelodysplastic Syndrome, or Myelodysplastic/Myeloproliferative NeoplasmsAcute Myeloid Leukaemia (AML), Myelodysplastic Syndrome (MDS), Myelodysplastic/ Myeloproliferative Neoplasms (MDS/MPN)Drug: CPI-0610Constellation Pharmaceuticals, The Leukaemia and Lymphoma SocietyPhase 15 Jun 2014
NCT02259114 A Phase IB Trial With OTX015, a Small Molecule Inhibitor of the Bromodomain and Extra-Terminal (BET) Proteins, in Patients With Selected Advanced Solid TumorsNUT midline carcinoma, triple negative breast cancer, non-small cell lung cancer with rearranged ALK gene/fusion protein or KRAS mutation, Castrate-resistant Prostate Cancer (CRPC), pancreatic ductal adenocarcinomaDrug: OTX015OncoEthixPhase 13 October 2014
NCT02296476 A Trial With Dose Optimization of OTX015 in Recurrent Glioblastoma Multiforme (GBM) PatientsGlioblastoma ultiformeDrug: OTX015OncoEthixPhase 1 Phase 23 October 2014
NCT02303782 A Study Assessing tOTX015 in Combination With Azacitidine (AZA) or AZA Single Agent in Patients With Newly-diagnosed Acute Myeloid Leukaemia (AML) Not Candidate for Standard Intensive Induction Therapy (SIIT)AMLDrug: OTX015, Drug: Vidaza (azacitidine)OncoEthixPhase 1 Phase 224 November 2014
NCT02308761 A Dose Escalation and Cohort Expansion Study of TEN-010 in Patients With Acute Myeloid Leukemia and Myelodysplastic SyndromeAML, MDSDrug: TEN-010Tensha TherapeuticsPhase 114 November 2014
NCT02369029 An Open-label, Non-randomized, Multicenter Phase I Dose Escalation Study to Characterize Safety, Tolerability, Pharmacokinetics and Maximum Tolerated Dose of BAY 1238097 in Subjects With Advanced MalignanciesNeoplasmsDrug: BAY1238097BayerPhase 117 February 2015
NCT02391480 A Phase 1 Study Evaluating the Safety and Pharmacokinetics of ABBV-075 in Subjects With Advanced CancerAdvanced cancer, breast cancer, non-small cell lung cancer, AML, multiple myelomaDrug: ABBV-075AbbViePhase 112 March 2015

Open science accelerates identification of the best targets and drug indications, in the correct patient population.

The Closed (upper half) model is compared to the Open (lower half) model; the availability of open access chemical tools for novel proteins and the freedom to operate enable the global community to explore different indications and diseases in parallel and quickly share back through publications. The breadth and depth of the studies in the open model lower the risks of failure in subsequent stages in a typical drug discovery programme, allowing the scientists to focus on the most promising indications, whilst reducing the level of effort (open squares), wastage, and duplication engendered by secrecy of the closed models. It is interesting to note that until early 2015, nine out of ten trials (GSK’s being the exception) were registered by either a small biotech or start-up company. In one notable example, the clinical candidate (CPI-0610) used in three different trials was developed in partnership with a nonprofit, patient-driven organisation—The Leukaemia and Lymphoma Society. As such, one could argue that the open model is challenging the established system by enabling a wider range of groups to easily and quickly access innovation. This leads to a more efficient route to attract incentives and rewards, especially in the fragile interstice of “valley of death” in drug discovery.

Open Access Invigorating Patient-Driven Research—The Most Transformative Impact

The open access model has had system-wide impact in biomedical science and drug discovery. This is tremendously exciting, but what we are now interested in exploring is whether we can make a much bigger impact if the open access model is combined with the determination and focus of patient-driven initiatives. Open access initiatives and patient and disease foundations share a common focus—to advance science toward a cure. For most patients and their families, issues of ownership and profit are irrelevant. This holds especially true for foundations of untreatable or rare conditions such as Fibrodysplasia Ossificans Progressiva (FOP; “Stone Man Syndrome”) and Adult Polyglucosan Body Disease (APBD). Could marrying the SGC open-access approach to drug discovery with the dedication and focus of disease foundations result in faster advances? We believe so. FOP United Kingdom, the foundation supporting research into FOP, worked with the SGC and its collaborative network on structure-based development of inhibitors for ACVR1, a kinase for which specific mutation has been identified of the disease [40,41], as well as for the understanding of mutant phenotypes [42]. Molecules from this partnership are now being optimised for future clinical studies. Most recently, the SGC and CHDI Foundation have teamed up to discover and characterise new drug targets for Huntington’s disease (HD). In this first partnership of its kind, both have explicitly agreed not to file for patents on any of the collaborative research and to make all reagents and knowledge available without restriction [43]. This is a pioneering move by CHDI and establishes a template for how patient-orientated funders can help the research community develop new drugs—in fact, the Ontario Brain Institute has already entered into a similar agreement with the SGC, to further research on Rett’s syndrome. Finally, participation of patients and disease foundations is also pivotal for the establishment of anonymised primary cell and tissue open platforms. This will accelerate generation of robust, clinically meaningful assays to profile molecularly-targeted probes using phenotypic and biomarker readouts linking novel targets to new indications [39].

Open Access and Potential Pitfalls

One curious behaviour is that the scientific community has been giving a disproportionately large focus on earlier tools rather than exploring other open probes available so far, probably reflecting the established risk aversion we encounter in biomedical research [44]. Therefore, even though open access can accelerate investigation of novel biology, it is important for the community to be aware of this trend and to cover more efficiently all the novel tools and target areas that are being enabled by open initiatives.

Expanding the Open Access Ecosystem

The main tenets of precompetitive, patent-free and open-access research have enabled the establishment of a new dynamic ecosystem, not confined to biomedicine alone. The open access ethos ensures a high degree of crosstalk between sectors, including more than 300 academic groups, government agencies, biotech companies, start-ups, entrepreneurs, lawyers, economists, social scientists, and patients, all working together to expand the impact of open access drug discovery (S1 Fig). The last ten years have been exciting and rewarding with a future that looks bright and even more promising—for science, for patients, and for society as a whole; what are you waiting for? Join us!

The SGC super network.

The SGC’s Open Access model is transformative and encourages crossfields, cross-sector interactions to accelerate drug discovery and advancement of basic biology. This has resulted in the establishment of a network of collaborations and projects, covering a wide range of initiatives implemented alongside strategic partners. For a full overview of the SGC’s scientific coverage, please refer to www.thesgc.org. Human tissue platforms and Inflammation: exploring biology of novel proteins using patient-derived primary cells and tissues. • Target Enabling Packages (TEPs): generating open access “toolkits” (structures, assays, proteins, chemical starting points, etc.) to allow exploration of novel, genetically validated targets. • Structural parasitology & neglected diseases: using structure-based methodologies and science to advance development of novel treatments [http://www.thesgc.org/sddc]. • Rare diseases: expanding the understanding of structure and function of the associated proteins as well as the effects of disease mutations [http://www.thesgc.org/science/rare-diseases]. Patient & disease foundations: working together with focused networks of disease specialists to further increase knowledge in structural biology and functional and chemical spaces around implicated proteins [Dolgin, Nat Med 2014]. • Kinase inhibitors for human & plant sciences: facilitating the cross-sector use of open-access chemical probes targeting basic biology [Knapp et al., Nat Chem Biol 2013]. • Open clinical proof-of-concept: expanding the precompetitive, patent-free model towards phase II clinical proof-of-concept [Norman et al., Sci Transl Med 2011a, 2011b]. • Start-ups & incubators: creation of open access toolkits for pioneer biology and dynamic entrepreneurial communities have already resulted in creation of independent start-ups. • Ethics & economics: open-access model has created new paradigms around the philosophy and practical and economic aspects of discovering novel treatments and medicines. • Governments & policymakers: availability of a model that can expedite drug discovery and reduce its cost is of interest for governments, always under pressure to address societal healthcare needs. (TIF) Click here for additional data file.
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Review 1.  The bromodomain interaction module.

Authors:  Panagis Filippakopoulos; Stefan Knapp
Journal:  FEBS Lett       Date:  2012-05-03       Impact factor: 4.124

2.  The case for open-access chemical biology. A strategy for pre-competitive medicinal chemistry to promote drug discovery.

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Journal:  EMBO Rep       Date:  2009-09       Impact factor: 8.807

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Review 5.  Targeting bromodomains: epigenetic readers of lysine acetylation.

Authors:  Panagis Filippakopoulos; Stefan Knapp
Journal:  Nat Rev Drug Discov       Date:  2014-04-22       Impact factor: 84.694

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Journal:  ACS Chem Biol       Date:  2013-04-30       Impact factor: 5.100

7.  PFI-1, a highly selective protein interaction inhibitor, targeting BET Bromodomains.

Authors:  Sarah Picaud; David Da Costa; Angeliki Thanasopoulou; Panagis Filippakopoulos; Paul V Fish; Martin Philpott; Oleg Fedorov; Paul Brennan; Mark E Bunnage; Dafydd R Owen; James E Bradner; Philippe Taniere; Brendan O'Sullivan; Susanne Müller; Juerg Schwaller; Tatjana Stankovic; Stefan Knapp
Journal:  Cancer Res       Date:  2013-04-10       Impact factor: 12.701

8.  Structure of the bone morphogenetic protein receptor ALK2 and implications for fibrodysplasia ossificans progressiva.

Authors:  Apirat Chaikuad; Ivan Alfano; Georgina Kerr; Caroline E Sanvitale; Jan H Boergermann; James T Triffitt; Frank von Delft; Stefan Knapp; Petra Knaus; Alex N Bullock
Journal:  J Biol Chem       Date:  2012-09-12       Impact factor: 5.157

9.  A selective jumonji H3K27 demethylase inhibitor modulates the proinflammatory macrophage response.

Authors:  Laurens Kruidenier; Chun-wa Chung; Zhongjun Cheng; John Liddle; KaHing Che; Gerard Joberty; Marcus Bantscheff; Chas Bountra; Angela Bridges; Hawa Diallo; Dirk Eberhard; Sue Hutchinson; Emma Jones; Roy Katso; Melanie Leveridge; Palwinder K Mander; Julie Mosley; Cesar Ramirez-Molina; Paul Rowland; Christopher J Schofield; Robert J Sheppard; Julia E Smith; Catherine Swales; Robert Tanner; Pamela Thomas; Anthony Tumber; Gerard Drewes; Udo Oppermann; Dinshaw J Patel; Kevin Lee; David M Wilson
Journal:  Nature       Date:  2012-08-16       Impact factor: 49.962

Review 10.  Open source drug discovery - a limited tutorial.

Authors:  Murray N Robertson; Paul M Ylioja; Alice E Williamson; Michael Woelfle; Michael Robins; Katrina A Badiola; Paul Willis; Piero Olliaro; Timothy N C Wells; Matthew H Todd
Journal:  Parasitology       Date:  2013-08-28       Impact factor: 3.234

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1.  A genetics-led approach defines the drug target landscape of 30 immune-related traits.

Authors:  Hai Fang; Hans De Wolf; Bogdan Knezevic; Katie L Burnham; Julie Osgood; Anna Sanniti; Alicia Lledó Lara; Silva Kasela; Stephane De Cesco; Jörg K Wegner; Lahiru Handunnetthi; Fiona E McCann; Liye Chen; Takuya Sekine; Paul E Brennan; Brian D Marsden; David Damerell; Chris A O'Callaghan; Chas Bountra; Paul Bowness; Yvonne Sundström; Lili Milani; Louise Berg; Hinrich W Göhlmann; Pieter J Peeters; Benjamin P Fairfax; Michael Sundström; Julian C Knight
Journal:  Nat Genet       Date:  2019-06-28       Impact factor: 38.330

2.  Accelerating target discovery using pre-competitive open science-patients need faster innovation more than anyone else.

Authors:  Eric Low; Chas Bountra; Wen Hwa Lee
Journal:  Ecancermedicalscience       Date:  2016-08-03

3.  An open source pharma roadmap.

Authors:  Manica Balasegaram; Peter Kolb; John McKew; Jaykumar Menon; Piero Olliaro; Tomasz Sablinski; Zakir Thomas; Matthew H Todd; Els Torreele; John Wilbanks
Journal:  PLoS Med       Date:  2017-04-18       Impact factor: 11.069

4.  Establishing a reliable framework for harnessing the creative power of the scientific crowd.

Authors:  Adrian J Carter; Amy Donner; Wen Hwa Lee; Chas Bountra
Journal:  PLoS Biol       Date:  2017-02-15       Impact factor: 8.029

5.  Donated chemical probes for open science.

Authors:  Susanne Müller; Suzanne Ackloo; Cheryl H Arrowsmith; Marcus Bauser; Jeremy L Baryza; Julian Blagg; Jark Böttcher; Chas Bountra; Peter J Brown; Mark E Bunnage; Adrian J Carter; David Damerell; Volker Dötsch; David H Drewry; Aled M Edwards; James Edwards; Jon M Elkins; Christian Fischer; Stephen V Frye; Andreas Gollner; Charles E Grimshaw; Adriaan IJzerman; Thomas Hanke; Ingo V Hartung; Steve Hitchcock; Trevor Howe; Terry V Hughes; Stefan Laufer; Volkhart Mj Li; Spiros Liras; Brian D Marsden; Hisanori Matsui; John Mathias; Ronan C O'Hagan; Dafydd R Owen; Vineet Pande; Daniel Rauh; Saul H Rosenberg; Bryan L Roth; Natalie S Schneider; Cora Scholten; Kumar Singh Saikatendu; Anton Simeonov; Masayuki Takizawa; Chris Tse; Paul R Thompson; Daniel K Treiber; Amélia Yi Viana; Carrow I Wells; Timothy M Willson; William J Zuercher; Stefan Knapp; Anke Mueller-Fahrnow
Journal:  Elife       Date:  2018-04-20       Impact factor: 8.140

Review 6.  Changing Trends in Computational Drug Repositioning.

Authors:  Jaswanth K Yella; Suryanarayana Yaddanapudi; Yunguan Wang; Anil G Jegga
Journal:  Pharmaceuticals (Basel)       Date:  2018-06-05

7.  AD Informer Set: Chemical tools to facilitate Alzheimer's disease drug discovery.

Authors:  Frances M Potjewyd; Joel K Annor-Gyamfi; Jeffrey Aubé; Shaoyou Chu; Ivie L Conlon; Kevin J Frankowski; Shiva K R Guduru; Brian P Hardy; Megan D Hopkins; Chizuru Kinoshita; Dmitri B Kireev; Emily R Mason; Charles T Moerk; Felix Nwogbo; Kenneth H Pearce; Timothy I Richardson; David A Rogers; Disha M Soni; Michael Stashko; Xiaodong Wang; Carrow Wells; Timothy M Willson; Stephen V Frye; Jessica E Young; Alison D Axtman
Journal:  Alzheimers Dement (N Y)       Date:  2022-04-20

Review 8.  Improving target assessment in biomedical research: the GOT-IT recommendations.

Authors:  Christoph H Emmerich; Lorena Martinez Gamboa; Martine C J Hofmann; Marc Bonin-Andresen; Olga Arbach; Pascal Schendel; Björn Gerlach; Katja Hempel; Anton Bespalov; Ulrich Dirnagl; Michael J Parnham
Journal:  Nat Rev Drug Discov       Date:  2020-11-16       Impact factor: 112.288

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