Michal Brylinski

19PUBLICATIONS
11CO-AUTHORS
Evolutionary computationApplications in social sciences and educationComputational ecology and phylogeneticsMolecular targetsBiomolecular modelling and design
Featured researcher

Get your video featured.

JoVEPublish with JoVE
Journal

Publications (19)

|Jul 28, 2026
AUKAT: Conditional VAE-Driven Augmentation and Neural Modeling of Enzyme Turnover Numbers.

|Feb 21, 2025
EC2Vec: A Machine Learning Method to Embed Enzyme Commission (EC) Numbers into Vector Representations.

Mengmeng Liu, Xialong Ni, J Ramanujam

|Feb 13, 2025
A Data-Driven Approach to Enhance the Prediction of Bacteria-Metabolite Interactions in the Human Gut Microbiome Using Enzyme Encodings and Metabolite Structural Embeddings.

Gopal Srivastava, Michal Brylinski

|Mar 28, 2024
SynerGNet: A Graph Neural Network Model to Predict Anticancer Drug Synergy.

Mengmeng Liu, Gopal Srivastava, J Ramanujam

|Aug 26, 2023
Unlocking the Potential of Kinase Targets in Cancer: Insights from CancerOmicsNet, an AI-Driven Approach to Drug Response Prediction in Cancer.

Manali Singha, Limeng Pu, Gopal Srivastava

|Aug 26, 2022
GraphSite: Ligand Binding Site Classification with Deep Graph Learning.

Wentao Shi, Manali Singha, Limeng Pu

Pageof 4

Frequent Collaborators

3 joint publications

Jagannathan Ramanujam

2 joint publications

Lyndon M Coghill

2 joint publications

Jeremy M Brown

2 joint publications

Mengmeng Liu