Michal Brylinski

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Venues

Biomolecules

BMC bioinformatics

NPJ systems biology and applications

Cancers

Jagiellonian University (PHD)

This page only lists publications with an associated author ORCID identifier.

Education History

Jagiellonian University Jun 29 2006

Poland

PHD :: Faculty of Chemistry

Publications

Mengmeng Liu, Gopal Srivastava, Jagannathan Ramanujam, Michal Brylinski
SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy. Biomolecules 14 (3) (2024)
Mengmeng Liu, Gopal Srivastava, Jagannathan Ramanujam, Michal Brylinski
SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy. Biomolecules 14 (3) (2024)
Mengmeng Liu, Gopal Srivastava, Jagannathan Ramanujam, Michal Brylinski
SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy. Biomolecules 14 (3) (2024)
Manali Singha, Limeng Pu, Gopal Srivastava, Xialong Ni, Brent A Stanfield, Ifeanyi K Uche, Paul J F Rider, Konstantin G Kousoulas, Jagannathan Ramanujam, Michal Brylinski
Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer. Cancers 15 (16) (2023)
Limeng Pu, Manali Singha, Hsiao-Chun Wu, Costas Busch, J Ramanujam, Michal Brylinski
An integrated network representation of multiple cancer-specific data for graph-based machine learning. NPJ systems biology and applications 8 (1) (2022)
Wentao Shi, Manali Singha, Limeng Pu, Gopal Srivastava, Jagannathan Ramanujam, Michal Brylinski
GraphSite: Ligand Binding Site Classification with Deep Graph Learning. Biomolecules 12 (8) (2022)
Guannan Liu, Manali Singha, Limeng Pu, Prasanga Neupane, Joseph Feinstein, Hsiao-Chun Wu, J Ramanujam, Michal Brylinski
GraphDTI: A robust deep learning predictor of drug-target interactions from multiple heterogeneous data. Journal of cheminformatics 13 (1) (2021)
Omar Kana, Michal Brylinski
Elucidating the druggability of the human proteome with eFindSite. Journal of computer-aided molecular design 33 (5) (2019)
Limeng Pu, Misagh Naderi, Tairan Liu, Hsiao-Chun Wu, Supratik Mukhopadhyay, Michal Brylinski
eToxPred: a machine learning-based approach to estimate the toxicity of drug candidates. BMC pharmacology & toxicology 20 (1) (2019)
Paul J F Rider, Lyndon M Coghill, Misagh Naderi, Jeremy M Brown, Michal Brylinski, Konstantin G Kousoulas
Identification and Visualization of Functionally Important Domains and Residues in Herpes Simplex Virus Glycoprotein K(gK) Using a Combination of Phylogenetics and Protein Modeling. Scientific reports 9 (1) (2019)
Lana F Thaljeh, J Ainsley Rothschild, Misagh Naderi, Lyndon M Coghill, Jeremy M Brown, Michal Brylinski
Hinge Region in DNA Packaging Terminase pUL15 of Herpes Simplex Virus: A Potential Allosteric Target for Antiviral Drugs. Biomolecules 9 (10) (2019)
Limeng Pu, Rajiv Gandhi Govindaraj, Jeffrey Mitchell Lemoine, Hsiao-Chun Wu, Michal Brylinski
DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network. PLoS computational biology 15 (2) (2019)
Rajiv Gandhi Govindaraj, Misagh Naderi, Manali Singha, Jeffrey Lemoine, Michal Brylinski
Large-scale computational drug repositioning to find treatments for rare diseases. NPJ systems biology and applications 4 (2018)
Rajiv Gandhi Govindaraj, Michal Brylinski
Comparative assessment of strategies to identify similar ligand-binding pockets in proteins. BMC bioinformatics 19 (1) (2018)
Michal Brylinski
Aromatic interactions at the ligand-protein interface: Implications for the development of docking scoring functions. Chemical biology & drug design 91 (2) (2017)
Surabhi Maheshwari, Michal Brylinski
Across-proteome modeling of dimer structures for the bottom-up assembly of protein-protein interaction networks. BMC bioinformatics 18 (1) (2017)
Tairan Liu, Misagh Naderi, Chris Alvin, Supratik Mukhopadhyay, Michal Brylinski
Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with eMolFrag. Journal of chemical information and modeling 57 (4) (2017)
Anjani Ragothaman, Sairam Chowdary Boddu, Nayong Kim, Wei Feinstein, Michal Brylinski, Shantenu Jha, Joohyun Kim
Developing eThread pipeline using SAGA-pilot abstraction for large-scale structural bioinformatics. BioMed research international 2014 (2014)

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Publication Activity (10 Years)

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Michal Brylinski