Author

Alexey A. Orlov

Chimie de la Matière ComplexeORCID 0000-0002-0597-7705Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Bioinformatics· 3

Signature Assays, Organisms & Methods

Click to filter · or open tag

Approach:statistical model· 3 Research Focus:drug response / drug discovery· 2 Research Focus:benchmarking· 1 Research Focus:database / resource· 1 Research Focus:gene regulatory network inference· 1 Organism:human· 1 Approach:machine learning (classical)· 1 Assay:proteomics· 1

Frequent Co-Authors

Alexandre A. VarnekiD· 3 shared Dragos HorvathiD· 3 shared Gilles MarcouiD· 3 shared Karina Pikalyova· 3 shared Arkadii LiniD· 1 shared Artem R CherkasoviD· 1 shared Evan F. HaneyiD· 1 shared Jiaying YouiD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 37 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

3 shared papersBioinformatics

Alexandre A. VarnekORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Design of highly potent anti-biofilm, antimicrobial peptides using explainable artificial intelligence

Karina Pikalyova, Tagir N. Akhmetshin, Alexey A. Orlov, Evan F. Haney, Noushin Akhoundsadegh, Jiaying You, Robert E. W. Hancock, Dragos Horvath, Gilles Marcou, Artem R Cherkasov, Alexandre A. Varnek

This study designs potent anti-biofilm antimicrobial peptides using an explainable AI framework, achieving high efficacy against MRSA biofilms.

Journal of Chemical Information and Modeling · Dec 23, 2025Peer-reviewedBioinformatics

Predicting S. aureus antimicrobial resistance with interpretable genomic space maps

Karina Pikalyova, Alexey A. Orlov, Dragos Horvath, Gilles Marcou, Alexandre A. Varnek

This paper predicts S. aureus antimicrobial resistance using interpretable genomic space maps generated by generative topographic mapping (GTM) applied to genomic data from the PATRIC database.

Molecular Informatics · Feb 22, 2024Peer-reviewedBioinformatics

HIV-1 drug resistance profiling using amino acid sequence space cartography

Karina Pikalyova, Alexey A. Orlov, Arkadii Lin, Olga A. Tarasova, Gilles Marcou, Dragos Horvath, Vladimir Poroikov, Alexandre A. Varnek

This paper develops a method using generative topographic mapping to predict HIV drug resistance from genomic data, achieving high accuracy and interpretability.

Bioinformatics · Feb 8, 2022Peer-reviewedBioinformatics