Didier Rognan

Orcid: 0000-0002-0577-641X

According to our database1, Didier Rognan authored at least 32 papers between 1997 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
True Accuracy of Fast Scoring Functions to Predict High-Throughput Screening Data from Docking Poses: The Simpler the Better.
J. Chem. Inf. Model., 2021

Unexpected similarity between HIV-1 reverse transcriptase and tumor necrosis factor binding sites revealed by computer vision.
J. Cheminformatics, 2021

2020
LIT-PCBA: An Unbiased Data Set for Machine Learning and Virtual Screening.
J. Chem. Inf. Model., 2020

2019
All in One: Cavity Detection, Druggability Estimate, Cavity-Based Pharmacophore Perception, and Virtual Screening.
J. Chem. Inf. Model., 2019

Unsupervised Classification of G-Protein Coupled Receptors and Their Conformational States Using IChem Intramolecular Interaction Patterns.
J. Chem. Inf. Model., 2019

2018
Ranking docking poses by graph matching of protein-ligand interactions: lessons learned from the D3R Grand Challenge 2.
J. Comput. Aided Mol. Des., 2018

2016
Docking pose selection by interaction pattern graph similarity: application to the D3R grand challenge 2015.
J. Comput. Aided Mol. Des., 2016

2015
sc-PDB: a 3D-database of ligandable binding sites - 10 years on.
Nucleic Acids Res., 2015

IChemPIC: A Random Forest Classifier of Biological and Crystallographic Protein-Protein Interfaces.
J. Chem. Inf. Model., 2015

2014
Beware of Machine Learning-Based Scoring Functions - On the Danger of Developing Black Boxes.
J. Chem. Inf. Model., 2014

sc-PDB-Frag: A Database of Protein-Ligand Interaction Patterns for Bioisosteric Replacements.
J. Chem. Inf. Model., 2014

2013
Computational Profiling of Bioactive Compounds Using a Target-Dependent Composite Workflow.
J. Chem. Inf. Model., 2013

Encoding Protein-Ligand Interaction Patterns in Fingerprints and Graphs.
J. Chem. Inf. Model., 2013

Predicting Ligand Binding Modes from Neural Networks Trained on Protein-Ligand Interaction Fingerprints.
J. Chem. Inf. Model., 2013

2012
Structural Insights into the Molecular Basis of the Ligand Promiscuity.
J. Chem. Inf. Model., 2012

Protein-Ligand-Based Pharmacophores: Generation and Utility Assessment in Computational Ligand Profiling.
J. Chem. Inf. Model., 2012

Comparison and Druggability Prediction of Protein-Ligand Binding Sites from Pharmacophore-Annotated Cavity Shapes.
J. Chem. Inf. Model., 2012

2011
Enhancing the Accuracy of Chemogenomic Models with a Three-Dimensional Binding Site Kernel.
J. Chem. Inf. Model., 2011

sc-PDB: a database for identifying variations and multiplicity of 'druggable' binding sites in proteins.
Bioinform., 2011

2010
Alignment-Free Ultra-High-Throughput Comparison of Druggable Protein-Ligand Binding Sites.
J. Chem. Inf. Model., 2010

2009
Development and Validation of a Novel Protein-Ligand Fingerprint To Mine Chemogenomic Space: Application to G Protein-Coupled Receptors and Their Ligands.
J. Chem. Inf. Model., 2009

2008
Ranking Targets in Structure-Based Virtual Screening of Three-Dimensional Protein Libraries: Methods and Problems.
J. Chem. Inf. Model., 2008

Hot-Spots-Guided Receptor-Based Pharmacophores (HS-Pharm): A Knowledge-Based Approach to Identify Ligand-Anchoring Atoms in Protein Cavities and Prioritize Structure-Based Pharmacophores.
J. Chem. Inf. Model., 2008

2007
Optimizing Fragment and Scaffold Docking by Use of Molecular Interaction Fingerprints.
J. Chem. Inf. Model., 2007

2006
Assessing the Scaffold Diversity of Screening Libraries.
J. Chem. Inf. Model., 2006

sc-PDB: an Annotated Database of Druggable Binding Sites from the Protein Data Bank.
J. Chem. Inf. Model., 2006

2004
High-Throughput Modeling of Human G-Protein Coupled Receptors: Amino Acid Sequence Alignment, Three-Dimensional Model Building, and Receptor Library Screening.
J. Chem. Inf. Model., 2004

2002
Recovery of known T-cell epitopes by computational scanning of a viral genome.
J. Comput. Aided Mol. Des., 2002

2001
NMR-restrained docking of a peptidic inhibitor to the N-terminal domain of the phosphoenolpyruvate: sugar phosphotransferase enzyme I.
J. Comput. Aided Mol. Des., 2001

2000
Modeling the interactions of a peptide-major histocompatibility class I ligand with its receptors. I. Recognition by two alpha-beta T cell receptors.
J. Comput. Aided Mol. Des., 2000

Modeling the interactions of a peptide-major histocompatibility class I ligand with its receptors. II. Cross-reaction between a monoclonal antibody and two alpha-beta T cell receptors.
J. Comput. Aided Mol. Des., 2000

1997
Fine specificity of antigen binding to two class I major histocompatibility proteins (B*2705 and B*2703) differing in a single amino acid residue.
J. Comput. Aided Mol. Des., 1997


  Loading...