Michael J Keiser

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Brian ShoichetProfessor of Pharmaceutical Chemistry, University of California, San FranciscoVerified email at cgl.ucsf.edu
John J. IrwinAssociate Professor, University of California San FranciscoVerified email at cgl.ucsf.edu
BL RothDepartment of Pharmacology, University of North Carolina Medical SchoolVerified email at med.unc.edu
Brittany N. DuggerUniversity of California DavisVerified email at ucdavis.edu
Jérôme HertF. Hoffmann-La Roche Ltd.Verified email at chembio.info
Vincent SetolaWest Virginia University School of MedicineVerified email at hsc.wvu.edu
Kangway ChuangGenentechVerified email at gene.com
Atheir AbbasAssistant Professor of Behavioral Neuroscience, Oregon Health and Science UniversityVerified email at ohsu.edu
Kelan ThomasAssociate Professor of Clinical Sciences, Touro University CaliforniaVerified email at tu.edu
Albert T. YoungHenry Ford HealthVerified email at hfhs.org
Jacob PfauNYUVerified email at nyu.edu
Randall PetersonUniversity of UtahVerified email at pharm.utah.edu
XP HuangUniversity of North CarolinaVerified email at unc.edu
Jeremy L. JenkinsUS Head Discovery Sciences, Novartis BioMedical ResearchVerified email at novartis.com
Laszlo UrbanHead of Preclinical Secondary Pharmacology, NIBRVerified email at novartis.com
Eugen LounkineNovartis Institutes for Biomedical Research Inc.Verified email at novartis.com
Rafaela Salgado FerreiraBiochemistry and Immunology Department, Universidade Federal de Minas GeraisVerified email at icb.ufmg.br
Joel DudleyInstitute Director and Associate Professor, Icahn School of Medicine at Mount SinaiVerified email at mssm.edu
Oliv EidamCADD and Data Science expertVerified email at cadd-consulting.com
Tudor OpreaCEO, Expert Systems IncVerified email at expertsystems.inc

Michael J Keiser

Associate Professor, UCSF

Verified email at ucsf.edu - Homepage

machine learning responsible ai systems pharmacology drug discovery neurodegeneration


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Relating protein pharmacology by ligand chemistry MJ Keiser, BL Roth, BN Armbruster, P Ernsberger, JJ Irwin, BK Shoichet Nature biotechnology 25 (2), 197-206, 2007	2236	2007
Predicting new molecular targets for known drugs MJ Keiser, V Setola, JJ Irwin, C Laggner, AI Abbas, SJ Hufeisen, ... Nature 462 (7270), 175-181, 2009	1916	2009
Large-scale prediction and testing of drug activity on side-effect targets E Lounkine, MJ Keiser, S Whitebread, D Mikhailov, J Hamon, JL Jenkins, ... Nature 486 (7403), 361-367, 2012	936	2012
Quantifying biogenic bias in screening libraries J Hert, JJ Irwin, C Laggner, MJ Keiser, BK Shoichet Nature chemical biology 5 (7), 479-483, 2009	290	2009
Complementarity between a docking and a high-throughput screen in discovering new cruzain inhibitors RS Ferreira, A Simeonov, A Jadhav, O Eidam, BT Mott, MJ Keiser, ... Journal of medicinal chemistry 53 (13), 4891-4905, 2010	276	2010
Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline Z Tang, KV Chuang, C DeCarli, LW Jin, L Beckett, MJ Keiser, BN Dugger Nature communications 10 (1), 2173, 2019	242	2019
Quantifying the relationships among drug classes J Hert, MJ Keiser, JJ Irwin, TI Oprea, BK Shoichet Journal of chemical information and modeling 48 (4), 755-765, 2008	194	2008
Artificial intelligence in dermatology: a primer AT Young, M Xiong, J Pfau, MJ Keiser, ML Wei Journal of Investigative Dermatology 140 (8), 1504-1512, 2020	186	2020
Learning Molecular Representations for Medicinal Chemistry: Miniperspective KV Chuang, LM Gunsalus, MJ Keiser Journal of Medicinal Chemistry 63 (16), 8705-8722, 2020	174	2020
Zebrafish behavioral profiling identifies multitarget antipsychotic-like compounds G Bruni, AJ Rennekamp, A Velenich, M McCarroll, L Gendelev, E Fertsch, ... Nature chemical biology 12 (7), 559-566, 2016	151	2016
Chemical informatics and target identification in a zebrafish phenotypic screen C Laggner, D Kokel, V Setola, A Tolia, H Lin, JJ Irwin, MJ Keiser, ... Nature chemical biology 8 (2), 144-146, 2012	148	2012
Comment on “Predicting reaction performance in C–N cross-coupling using machine learning” KV Chuang, MJ Keiser Science 362 (6416), eaat8603, 2018	147	2018
Polygenic overlap between schizophrenia risk and antipsychotic response: a genomic medicine approach DM Ruderfer, AW Charney, B Readhead, BA Kidd, AK Kähler, PJ Kenny, ... The Lancet Psychiatry 3 (4), 350-357, 2016	141	2016
The psychiatric cell map initiative: a convergent systems biological approach to illuminating key molecular pathways in neuropsychiatric disorders AJ Willsey, MT Morris, S Wang, HR Willsey, N Sun, N Teerikorpi, TB Baum, ... Cell 174 (3), 505-520, 2018	125	2018
The chemical basis of pharmacology MJ Keiser, JJ Irwin, BK Shoichet Biochemistry 49 (48), 10267-10276, 2010	117	2010
A Simple Representation of Three-Dimensional Molecular Structure SD Axen, XP Huang, EL Cáceres, L Gendelev, BL Roth, K MJ Journal of Medicinal Chemistry 60 (17), 7393-7409, 2017	114	2017
The presynaptic component of the serotonergic system is required for clozapine's efficacy PN Yadav, AI Abbas, MS Farrell, V Setola, N Sciaky, XP Huang, ... Neuropsychopharmacology 36 (3), 638-651, 2010	71	2010
Evolutionarily Conserved Roles for Blood-Brain Barrier Xenobiotic Transporters in Endogenous Steroid Partitioning and Behavior SJ Hindle, RN Munji, E Dolghih, G Gaskins, S Orng, H Ishimoto, A Soung, ... Cell Reports 21 (5), 1304-1316, 2017	64	2017
Adversarial Controls for Scientific Machine Learning KV Chuang, MJ Keiser ACS Chemical Biology 13 (10), 2819-2821, 2018	59	2018
Prediction and evaluation of protein farnesyltransferase inhibition by commercial drugs AJ DeGraw, MJ Keiser, JD Ochocki, BK Shoichet, MD Distefano Journal of medicinal chemistry 53 (6), 2464-2471, 2010	57	2010

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