Faculty profile

Artem Cherkasov

ResearcherUrologic SciencesUniversity of British Columbia

This profile is built from public research funding records (CIHR, NSERC and SSHRC) and PubMed. We have not imported them from a University of British Columbia directory, so their courses may be missing. Find their university profile.

Artem Cherkasov

Researcher

Urologic Sciences

Health Sciences

University of British Columbia

Vancouver, British Columbia, Canada

Supervision signals

Has led research grants, which requires an independent research appointment. Ask their department whether they supervise graduate students.
42 publications in the last five years, latest in 2026.
Senior (last) author on 18 recent papers, a sign of leading a research group.
Principal investigator on 11 research grants (10 CIHR, 1 NSERC), most recently in 2025.
Supervised 3 trainees who won CIHR awards, most recently in 2022.

These signals come from public records, including CIHR, NSERC and SSHRC funding decisions. Ask the professor or the graduate program whether they are taking new students.

Academic metrics

142

Publications

Citations

h-index

Collaborators

Grants

Publications by year

Counts cover the works listed on the university profile; citation counts come from Dimensions.

Profiles and links

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Signals and details

Research

Drug And Natural Product Repurposing Enable High-Quality Data On Existing Covid-19 Treatment Enhance Canadian Engagement In Large Scale Trials Enhance Engagement With Middle-Income & Low-Income Countries Evidences For Clinical & Public Health Decision Makers Idenitfy Remdesivir Synergistic Drugs National And International Coordination For Sharing Of Data New Covid-19 Treatment For Interventions And Prevention

Latest papers

The Use of DeepQSAR Models for the Discovery of Peptides With Enhanced Antimicrobial and Antibiofilm Potential.
Molecular informatics · 2026 · senior author
CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.
Journal of chemical information and modeling · 2026
Deep docking, part 2: an amplified DDU platform for ultra-large virtual screening.
Chemical science · 2026 · senior author

All 142 publications

Latest funding

Targeting Epigenetic Phenotypic Switching to Overcome Prostate Cancer Treatment Resistance
CIHR · 2025 · Co-investigator
$841,500
Structure-based design of small molecule inhibitors of the transsulfuration pathway in Ewing Sarcoma.
CIHR · 2025 · Nominated PI
$722,926
Lin28b as a therapeutic target for prostate cancer progression
CIHR · 2024 · Co-investigator
$967,726

All 27 grants and awards

142 publications.

The Use of DeepQSAR Models for the Discovery of Peptides With Enhanced Antimicrobial and Antibiofilm Potential.

You J, Mslati H, Haney EF, Akhoundsadegh N, Hancock REW, Cherkasov A

Molecular informatics2026Senior author

DOI: 10.1002/minf.70029 PMID: 41992792

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Herasymenko O, Silva M, Correy GJ, Abu-Saleh AAA, Ackloo S, Arrowsmith C, Ashworth A, Ban F, Beck H, Bishop KP, Bohórquez HJ, Bolotokova A, Breznik M, Chau I, Chen Y, Cherkasov A, Dehaen W, Della Corte D, Denzinger K, Doering NP, Edfeldt K, Edwards A, Fayne D, Gentile F, Gibson E, Gokdemir O, Gunnarsson A, Günther J, Irwin JJ, Jensen JH, Harding RJ, Hillisch A, Hoffer L, Hogner A, Hutchinson A, Kandwal S, Karlova A, Koirala K, Kotelnikov S, Kozakov D, Lee J, Lee S, Lessel U, Liu S, Liu X, Loppnau P, Meiler J, Moretti R, Moroz YS, Muvva C, Oprea TI, Paige B, Pandit A, Park K, Poda G, Protopopov MV, Pütter V, Ravichandran R, Rognan D, Rosta E, Sabnis Y, Scott T, Seitova A, Sharma P, Sindt F, Song M, Steinmann C, Stevens R, Talagayev V, Tararina VV, Tarkhanova O, Tingey D, Trant JF, Treleaven D, Tropsha A, Walters P, Wells J, Westermaier Y, Wolber G, Wortmann L, Zheng S, Fraser JS, Schapira M

Journal of chemical information and modeling2026

DOI: 10.1021/acs.jcim.5c02441 PMID: 41565251

Deep docking, part 2: an amplified DDU platform for ultra-large virtual screening.

Pandey M, Sajed T, Semenov I, Zhang R, Ban F, Manskaia E, Ester M, Cherkasov A

Chemical science2026Senior author

DOI: 10.1039/d5sc09599a PMID: 42254487

Pharmacokinetics, pathology and efficacy of SARS-CoV-2 main protease inhibitor VPC285785 in a murine model of coronavirus infection.

Smith JR, Toro A, Sabater A, Kovacic S, Ban F, Arevalo AP, Crispo M, Gueron G, Young RN, Cherkasov A

Scientific reports2026Senior author

DOI: 10.1038/s41598-026-36842-2 PMID: 41629446

Design of Highly Potent Antibiofilm, Antimicrobial Peptides Using Explainable Artificial Intelligence.

Pikalyova K, Akhmetshin T, Orlov A, Haney EF, Akhoundsadegh N, You J, Hancock REW, Horvath D, Marcou GG, Cherkasov A, Varnek A

Journal of chemical information and modeling2026

DOI: 10.1021/acs.jcim.5c01992 PMID: 41432371

Distinct transcription factor interactions drive HOXB13 activity in different stages of prostate cancer.

Ersoy-Fazlioglu B, Lingadahalli S, Altintas UB, Cingoz A, Tekoglu E, Lok Yu IP, Dikbas M, Missaghimamaghani O, Yavuz K, Adomat H, Kulac I, Morova T, Xiao K, Gleave M, Fazli L, Cejas P, Cherkasov A, Zwart W, Haffner MC, Long HW, Collins C, Bagci-Onder T, Lack NA

Proceedings of the National Academy of Sciences of the United States of America2025

DOI: 10.1073/pnas.2500327122 PMID: 41343677

A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery.

Pandey M, Foo J, Massah S, Alford MA, Mslati H, Subbaraj G, Saba M, Gentile F, Lallous N, Haney EF, Hancock REW, Ester M, Cherkasov A

Nature communications2025Senior author

DOI: 10.1038/s41467-025-66748-y PMID: 41309621

The Use of DeepQSAR Models for the Discovery of Peptides with Enhanced Antimicrobial and Antibiofilm Potential.

You J, Mslati H, Haney EF, Akhoundsadegh N, Hancock REW, Cherkasov A

Journal of chemical information and modeling2025Senior author

DOI: 10.1021/acs.jcim.5c02138 PMID: 41195811

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.

Deschenes NM, Pérez-Vargas J, Zhong Z, Thomas M, Kenward C, Mosimann WA, Worrall LJ, Waglechner N, Li AX, Maguire F, Aftanas P, Smith JR, Lim J, Young RN, Cherkasov A, Farooqi L, Moinuddin A, Siddiqi L, Malik I, Lefebvre M, Paetzel M, Strynadka NCJ, Jean F, McGeer A, Kozak RA

The Journal of infectious diseases2025

DOI: 10.1093/infdis/jiaf294 PMID: 40459233

Structure-based discovery of inhibitors of Mac1 domain of nonstructural protein-3 of SARS-CoV-2 by machine learning-augmented screening of chemical space.

Ban F, Ravichandran R, Correy GJ, Herasymenko O, Silva M, Ackloo S, Bolotokova A, Chau I, Gibson E, Harding R, Hutchinson A, Loppnau P, Fraser JS, Schapira M, Cherkasov A, Gentile F

bioRxiv : the preprint server for biology2025

DOI: 10.1101/2025.09.05.674529 PMID: 40964377

Targeting Epigenetic Phenotypic Switching to Overcome Prostate Cancer Treatment Resistance

Co-investigatorCIHR2025Project Grant

Principal investigators: Ong, Christopher J

Keywords: Computational Drug Design; Epigenetic Phenotypic Switching; Epigenetic Regulator; Nepc Transdifferentiation

$841,500

Structure-based design of small molecule inhibitors of the transsulfuration pathway in Ewing Sarcoma.

Nominated PICIHR2025Project Grant

Principal investigators: Cherkasov, Artem; Strynadka, Natalie C

Keywords: Cancer Metabolism; Cell Biology; High Throughput Screening; Hydrogen Sulfide; Reactive Oxygen Species; Structure-Based Drug Design; Sulfur Metabolism; Tumor Progression

$722,926

Lin28b as a therapeutic target for prostate cancer progression

Co-investigatorCIHR2024Project Grant

Principal investigators: Dong, Xuesen

Keywords: Therapy-Resistant Prostate Cancer

$967,726

Deep Learning-Driven Design of Anticancer Peptides within Closed Robotic Lab

SupervisorCIHR2022Doctoral Research Award: Canada Graduate Scholarships

Principal investigators: Pandey, Mohit

Keywords: Anti Cancer Peptide; Deep Learning; Drug Discovery

$105,000

COVID-19 Variant Supplement - Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Nominated PICIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 1

Principal investigators: Cherkasov, Artem; Jean, François

Keywords: Drug And Natural Product Repurposing; Enable High-Quality Data On Existing Covid-19 Treatment; Enhance Canadian Engagement In Large Scale Trials; Enhance Engagement With Middle-Income & Low-Income Countries; Evidences For Clinical & Public Health Decision Makers; Idenitfy Remdesivir Synergistic Drugs; National And International Coordination For Sharing Of Data; New Covid-19 Treatment For Interventions And Prevention; Rapid Deployment Of Existing Research Platforms; Sex As A Biological Variable

$50,000

Understanding the effects of ERK hyperactivation in cancer: implications for therapy

Co-investigatorCIHR2021Project Grant

Principal investigators: Lockwood, William W

Keywords: Cancer Biology; Cancer Signaling; Drug Development; Erk; Kinases; Lung Cancer; Mouse Models; Oncogenes; Phosphatases; Synthetic Lethality

$956,250

COVID-19 Variant Network - Computer-aided discovery of synergistic drug combinations with Remdevisir for COVID-19 through mechanism-based drug repurposing and combinatorial organoid screening.

Nominated PICIHR2021Operating Grant: SARS-CoV-2 variants supplement stream 2

Principal investigators: Cherkasov, Artem; Jean, François

$90,000

Design a Double-Bolt Lock to Control Cancer Cell Growth

Co-investigatorCIHR2021Project Grant

Principal investigators: Dong, Xuesen

Keywords: Cancer Biology; Dna Topoisomerase; Mitosis

$910,350

Optimization and Validation of MCT4-targeting Small Molecule Inhibitors for Treatment of Advanced Cancers

Co-investigatorCIHR2021Project Grant

Principal investigators: Wang, Yuzhuo

Keywords: Acidic Tumour Microenvironment; Altered Cancer Metabolism; Anticancer Immunity; Cancer-Generated Lactic Acid; Computer-Assisted Drug Discovery; Mct4; Patient-Derived Xenografts; Small Molecule Inhibitor

$1,147,500

Canada Research Chair - Tier 1

Nominated PICIHR2020Canada Research Chairs - CIHR Funded - Tier 1

Principal investigators: Cherkasov, Artem

Keywords: Crc

$1,400,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

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Artem Cherkasov

Research

Latest papers

Latest funding

The Use of DeepQSAR Models for the Discovery of Peptides With Enhanced Antimicrobial and Antibiofilm Potential.

CACHE Challenge #3: Targeting the Nsp3 Macrodomain of SARS-CoV-2.

Deep docking, part 2: an amplified DDU platform for ultra-large virtual screening.

Pharmacokinetics, pathology and efficacy of SARS-CoV-2 main protease inhibitor VPC285785 in a murine model of coronavirus infection.

Design of Highly Potent Antibiofilm, Antimicrobial Peptides Using Explainable Artificial Intelligence.

Distinct transcription factor interactions drive HOXB13 activity in different stages of prostate cancer.

A scalable reinforcement learning approach for screening large peptide libraries for bioactive peptide discovery.

The Use of DeepQSAR Models for the Discovery of Peptides with Enhanced Antimicrobial and Antibiofilm Potential.

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.

Structure-based discovery of inhibitors of Mac1 domain of nonstructural protein-3 of SARS-CoV-2 by machine learning-augmented screening of chemical space.

Frequent collaborators

Xuesen Dong

Yuzhuo Wang

Martin Gleave

Matthieu Schapira

Mel Krajden

Pierre-Luc Boudreault

Richard Leduc

Masahiro Niikura

Aled Edwards

Natalie Strynadka

Nathan Lack

Amina Zoubeidi

Colin Collins

Finlay Maguire

Lucia Nappi

Paul Rennie

Rachel Harding

William Jia

Youwen Zhou

Filip Van Petegem

John Algernon Hassell

Robert Young