Michael J Keiser
Michael J Keiser
Associate Professor, UCSF
Verified email at - Homepage
Cited by
Cited by
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
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
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
Quantifying biogenic bias in screening libraries
J Hert, JJ Irwin, C Laggner, MJ Keiser, BK Shoichet
Nature chemical biology 5 (7), 479-483, 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
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
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
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
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
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
The chemical basis of pharmacology
MJ Keiser, JJ Irwin, BK Shoichet
Biochemistry 49 (48), 10267-10276, 2010
Comment on “Predicting reaction performance in C–N cross-coupling using machine learning”
KV Chuang, MJ Keiser
Science 362 (6416), eaat8603, 2018
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
Learning Molecular Representations for Medicinal Chemistry: Miniperspective
KV Chuang, LM Gunsalus, MJ Keiser
Journal of Medicinal Chemistry 63 (16), 8705-8722, 2020
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
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
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
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
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
Adversarial Controls for Scientific Machine Learning
KV Chuang, MJ Keiser
ACS Chemical Biology 13 (10), 2819-2821, 2018
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