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Michal Brylinski

Explore the profile of Michal Brylinski including associated specialties, affiliations and a list of published articles. Areas
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Articles 91
Citations 1379
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Recent Articles
1.
Liu M, Ni X, Ramanujam J, Brylinski M
J Chem Inf Model . 2025 Feb; 65(5):2173-2179. PMID: 39981640
Enzyme commission (EC) numbers play a vital role in classifying enzymes and understanding their functions in enzyme-related research. Although accurate and informative encoding of EC numbers is essential for enhancing...
2.
Srivastava G, Brylinski M
Nutrients . 2025 Feb; 17(3). PMID: 39940326
The human gut microbiome is critical for host health by facilitating essential metabolic processes. Our study presents a data-driven analysis across 312 bacterial species and 154 unique metabolites to enhance...
3.
Easwaran M, Govindaraj R, Naderi M, Brylinski M, De Zoysa M, Shin H
Int J Antimicrob Agents . 2024 Nov; 65(1):107395. PMID: 39612993
Objective: The emergence of bacteriophage-encoded endolysins hold significant promise as novel antibacterial agents, particularly against the growing threat of antibiotic-resistant bacteria. Therefore, we investigated the phage ФEcSw endolysin to enhance...
4.
Srivastava G, Liu M, Ni X, Pu L, Brylinski M
Methods Mol Biol . 2024 Nov; 2867:79-104. PMID: 39576576
The elucidation of protein structure and function plays a pivotal role in understanding biological processes and facilitating drug discovery. With the exponential growth of protein sequence data, machine learning techniques...
5.
Roterman I, Brylinski M, Polticelli F, de Brevern A
Front Chem . 2024 May; 12:1414079. PMID: 38779308
No abstract available.
6.
Liu M, Srivastava G, Ramanujam J, Brylinski M
Biomolecules . 2024 Mar; 14(3). PMID: 38540674
Drug combination therapy shows promise in cancer treatment by addressing drug resistance, reducing toxicity, and enhancing therapeutic efficacy. However, the intricate and dynamic nature of biological systems makes identifying potential...
7.
Liu M, Srivastava G, Ramanujam J, Brylinski M
Sci Rep . 2024 Jan; 14(1):1668. PMID: 38238448
Combination therapy has gained popularity in cancer treatment as it enhances the treatment efficacy and overcomes drug resistance. Although machine learning (ML) techniques have become an indispensable tool for discovering...
8.
Bess A, Berglind F, Mukhopadhyay S, Brylinski M, Alvin C, Fattah F, et al.
Front Pharmacol . 2024 Jan; 14:1297924. PMID: 38186640
This study introduces a sophisticated computational pipeline, , designed for the discovery of antiviral drugs based on their interactions within the human protein network. There is a pressing need for...
9.
Liu M, Srivastava G, Ramanujam J, Brylinski M
Res Sq . 2023 Nov; PMID: 37961281
Combination therapy has gained popularity in cancer treatment as it enhances the treatment efficacy and overcomes drug resistance. Although machine learning (ML) techniques have become an indispensable tool for discovering...
10.
Singha M, Pu L, Srivastava G, Ni X, Stanfield B, Uche I, et al.
Cancers (Basel) . 2023 Aug; 15(16). PMID: 37627077
Deregulated protein kinases are crucial in promoting cancer cell proliferation and driving malignant cell signaling. Although these kinases are essential targets for cancer therapy due to their involvement in cell...