Alexey Zakharov
Alexey Zakharov
Verified email at
Cited by
Cited by
QSAR modelling of rat acute toxicity on the basis of PASS prediction
A Lagunin, A Zakharov, D Filimonov, V Poroikov
Molecular informatics 30 (2‐3), 241-250, 2011
CERAPP: collaborative estrogen receptor activity prediction project
K Mansouri, A Abdelaziz, A Rybacka, A Roncaglioni, A Tropsha, A Varnek, ...
Environmental health perspectives 124 (7), 1023-1033, 2016
Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen
MP Menden, D Wang, MJ Mason, B Szalai, KC Bulusu, Y Guan, T Yu, ...
Nature communications 10 (1), 2674, 2019
QNA-based ‘Star Track’QSAR approach
DA Filimonov, AV Zakharov, AA Lagunin, VV Poroikov
SAR and QSAR in Environmental Research 20 (7-8), 679-709, 2009
Collaborative development of predictive toxicology applications
B Hardy, N Douglas, C Helma, M Rautenberg, N Jeliazkova, V Jeliazkov, ...
Journal of cheminformatics 2 (1), 1-29, 2010
Alarms about structural alerts
VM Alves, EN Muratov, SJ Capuzzi, R Politi, Y Low, RC Braga, ...
Green Chemistry 18 (16), 4348-4360, 2016
A critical overview of computational approaches employed for COVID-19 drug discovery
EN Muratov, R Amaro, CH Andrade, N Brown, S Ekins, D Fourches, ...
Chemical Society Reviews 50 (16), 9121-9151, 2021
CoMPARA: Collaborative Modeling Project for Androgen Receptor Activity
Environmental Health Perspectives 128 (2), 2020
PASS: identification of probable targets and mechanisms of toxicity
V Poroikov, D Filimonov, A Lagunin, T Gloriozova, A Zakharov
SAR and QSAR in Environmental Research 18 (1-2), 101-110, 2007
Quantitative prediction of antitarget interaction profiles for chemical compounds
AV Zakharov, AA Lagunin, DA Filimonov, VV Poroikov
Chemical Research in Toxicology 25 (11), 2378-2385, 2012
QSAR modeling of imbalanced high-throughput screening data in PubChem
AV Zakharov, ML Peach, M Sitzmann, MC Nicklaus
Journal of chemical information and modeling 54 (3), 705-712, 2014
Synergistic and antagonistic drug combinations against SARS-CoV-2
T Bobrowski, L Chen, RT Eastman, Z Itkin, P Shinn, CZ Chen, H Guo, ...
Molecular Therapy 29 (2), 873-885, 2021
Deep learning identifies synergistic drug combinations for treating COVID-19
W Jin, JM Stokes, RT Eastman, Z Itkin, AV Zakharov, JJ Collins, ...
Proceedings of the National Academy of Sciences 118 (39), e2105070118, 2021
A widely-applicable high-throughput cellular thermal shift assay (CETSA) using split Nano Luciferase
NJ Martinez, RR Asawa, MG Cyr, A Zakharov, DJ Urban, JS Roth, ...
Scientific reports 8 (1), 9472, 2018
Computer-aided prediction for medicinal chemistry via the Internet
A Geronikaki, D Druzhilovsky, A Zakharov, V Poroikov
SAR and QSAR in Environmental Research 19 (1-2), 27-38, 2008
An OpenData portal to share COVID-19 drug repurposing data in real time
KR Brimacombe, T Zhao, RT Eastman, X Hu, K Wang, M Backus, ...
BioRxiv, 2020
Qsar modeling and prediction of drug–drug interactions
AV Zakharov, EV Varlamova, AA Lagunin, AV Dmitriev, EN Muratov, ...
Molecular pharmaceutics 13 (2), 545-556, 2016
Programmable nucleic acid based polygons with controlled neuroimmunomodulatory properties for predictive QSAR modeling
MB Johnson, JR Halman, E Satterwhite, AV Zakharov, MN Bui, K Benkato, ...
Therapeutic RNA Nanotechnology, 885-909, 2021
Chemical toxicity prediction for major classes of industrial chemicals: Is it possible to develop universal models covering cosmetics, drugs, and pesticides?
VM Alves, EN Muratov, A Zakharov, NN Muratov, CH Andrade, A Tropsha
Food and Chemical Toxicology 112, 526-534, 2018
CATMoS: Collaborative acute toxicity modeling suite
K Mansouri, AL Karmaus, J Fitzpatrick, G Patlewicz, P Pradeep, D Alberga, ...
Environmental health perspectives 129 (4), 047013, 2021
The system can't perform the operation now. Try again later.
Articles 1–20