Author Info
Name
Affiliation
Papers
MICHAL BRYLINSKI
Louisiana State Univ, Dept Biol Sci, Baton Rouge, LA 70803 USA
16
Collaborators
Citations 
PageRank 
35
37
6.10
Referers 
Referees 
References 
103
742
259
Search Limit
100742
Title
Citations
PageRank
Year
BionoiNet: Ligand-binding site classification with off-the-shelf deep neural network.00.342020
Elucidating the druggability of the human proteome with eFindSite.00.342019
Binding site matching in rational drug design: algorithms and applications.10.352019
LSU Computational System Biology Gateway for Education00.342019
DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network.20.362019
Comparative assessment of strategies to identify similar ligand-binding pockets in proteins.30.382018
The CSBG - LSU Gateway: Web based Hosted Gateway for Computational System Biology Application Tools from Louisiana State University00.342018
Across-proteome modeling of dimer structures for the bottom-up assembly of protein-protein interaction networks.10.362017
Break Down in Order To Build Up: Decomposing Small Molecules for Fragment-Based Drug Design with eMolFrag.10.352017
A graph-based approach to construct target-focused libraries for virtual screening.30.442016
PDID: database of molecular-level putative protein-drug interactions in the structural human proteome.70.472016
Assessing the similarity of ligand binding conformations with the Contact Mode Score.10.352016
Is the growth rate of Protein Data Bank sufficient to solve the protein structure prediction problem using template-based modeling?20.392015
Geauxdock: A Novel Approach For Mixed-Resolution Ligand Docking Using A Descriptor-Based Force Field10.362015
Calculating an optimal box size for ligand docking and virtual screening against experimental and predicted binding pockets100.532015
eMatchSite: sequence order-independent structure alignments of ligand binding pockets in protein models.50.422014