Artem Cherkasov

University of North Carolina at Chapel Hill — United States

Computer Science · Physical Sciences

56h-index15.2kcitations344works2.32yr avg
OpenAlex↗ORCID↗Google Scholar↗Lab page↗

Accepting Students?

No reports yet. Know if this professor is taking students?

Research Topics

Computational Drug Discovery Methods(104), Prostate Cancer Treatment and Research(81), Estrogen and related hormone effects(57), Protein Structure and Dynamics(31), Machine Learning in Materials Science(27)

Publications344 total

Design of Highly Potent Antibiofilm, Antimicrobial Peptides Using Explainable Artificial Intelligence
Journal of Chemical Information and Modeling·2025
Distinct transcription factor interactions drive HOXB13 activity in different stages of prostate cancer
Proceedings of the National Academy of Sciences·2025Open Access
A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery
Nature Communications·2025· 1 citedOpen Access
RETRACTED: The Use of DeepQSAR Models for the Discovery of Peptides with Enhanced Antimicrobial and Antibiofilm Potential
Journal of Chemical Information and Modeling·2025· 1 cited
CACHE Challenge #1: Targeting the WDR Domain of LRRK2, A Parkinson’s Disease Associated Protein
UNC Libraries·2025Open Access
DNAR-06. Discovery and development of novel CNS-penetrating PARP1-selective inhibitors
Neuro-Oncology·2025Open Access
CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2
2025Open Access
Structure-based discovery of inhibitors of Mac1 domain of nonstructural protein-3 of SARS-CoV-2 by machine learning-augmented screening of chemical space
2025Open Access
Why Pool When You Can Flow? Active Learning with GFlowNets
arXiv (Cornell University)·2025Open Access
Supplementary Figure 5 from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
Supplementary Figure 1 from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
Supplementary Methods from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
Supplementary Figure 3 from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
Data from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
Supplementary Figure 2 from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
Supplementary Figure 4 from 5′-<i>S</i>-(3-Aminophenyl)-5′-thioadenosine, a Novel Chemoprotective Agent for Reducing Toxic Side Effects of Fluorouracil in Treatment of MTAP-Deficient Cancers
2025Open Access
COVID-19 Knowledge Extractor (COKE): A Curated Repository of Drug–Target Associations Extracted from the CORD-19 Corpus of Scientific Publications on COVID-19
UNC Libraries·2025Open Access
Functional and Structural Characterization of Treatment-Emergent Nirmatrelvir Resistance Mutations at Low Frequencies in the Main Protease (Mpro) Reveals a Unique Evolutionary Route for SARS-CoV-2 to Gain Resistance
The Journal of Infectious Diseases·2025· 1 citedOpen Access
AGE DYNAMICS OF DEVELOPMENT OF SPINAL PATHOLOGIES
2025
Active Learning-Guided Hit Optimization for the Leucine-Rich Repeat Kinase 2 WDR Domain Based on In Silico Ligand-Binding Affinities
Journal of Chemical Information and Modeling·2025· 1 citedOpen Access
page 1 of 18Next →

Frequent Co-authors

Fuqiang Ban(15), Paul S. Rennie(14), Eric Leblanc(10), Robert E. W. Hancock(9), Michael Hsing(9), Francesco Gentile(8), Alexander Tropsha(7), Anh‐Tien Ton(7), Alexandre Varnek(6), Martin Gleave(6), Christopher D. Fjell(6), Nada Lallous(6), Denis Fourches(5), Michael Fernández(5), Håvard Jenssen(5), Kriti Singh(5), Kush Dalal(5), Eugene Muratov(4), Igor I. Baskin(4), Igor V. Tetko(4)