Matthieu Montes

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Conservatoire National des Arts et Métiers

France

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Matthieu Montes is a Professor at the Conservatoire National des Arts et Metiers in France. His research focuses on computational methods in structural bioinformatics, virtual screening, and the interaction of small molecules with biological targets, particularly concerning endocrine disruptors and SARS-CoV-2 inhibitors. Recent publications highlight his contributions to protein docking software development and assessment of molecular binding affinities.

Recent Grants

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2D Conformal mapping of protein surfaces: applications to VIsualization and DOCKing software

Open Date: 2015-07-01

Close Date: 2020-06-30

Articles (11)

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2025

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2025

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2024

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2023

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2022

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2022

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2021

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2021

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2021

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2021

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2020

Collaborators (8)

Woong-Hee Shin

Associate Professor

Korea University

SOUTH KOREA

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Andrea Giachetti

University of Verona

ITALY

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Apostolos Axenopoulos

Assistant Professor

Aristotle University of Thessaloniki

GREECE

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Maxime MARIA

Associate Professor

Université de Limoges

FRANCE

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Etienne Brachet

Associate professor

Université Paris Descartes

FRANCE

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Halim Benhabiles

Associate professor

FRANCE

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yves lepelletier

Université Paris Descartes

FRANCE

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Anna Puszko

Assistant Professor

University of Warsaw

POLAND

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Matthieu Montes

Research Interests

Explore related searches

Contact this professor

About

Recent Grants

Articles (11)

Efficient GPU Computation of Large Protein Solvent-Excluded Surface

Combining Molecular Docking and Pharmacophore Models Predicts Ligand Binding of Endocrine-Disrupting Chemicals to Nuclear Receptors

PLO3S: Protein LOcal Surficial Similarity Screening

UDock2 : interactive real-time multi-body protein–protein docking software

Surface-based protein domains retrieval methods from a SHREC2021 challenge

Computationally driven discovery of targeting SARS-CoV-2 Mpro inhibitors: from design to experimental validation

Neuropilin 1 and Neuropilin 2 gene invalidation or pharmacological inhibition reveals their relevance for the treatment of metastatic renal cell carcinoma

Comparative evaluation of shape retrieval methods on macromolecular surfaces: an application of computer vision methods in structural bioinformatics

High-Resolution Mining of SARS-CoV-2 Main Protease Conformational Space: Supercomputer-Driven Unsupervised Adaptive Sampling

Predicting Potential Endocrine Disrupting Chemicals Binding to Estrogen Receptor α (ERα) Using a Pipeline Combining Structure-Based and Ligand-Based in Silico Methods

SHREC2020 track: Multi-domain protein shape retrieval challenge

Collaborators (8)

Woong-Hee Shin

Andrea Giachetti

Apostolos Axenopoulos

Maxime MARIA

Etienne Brachet

Halim Benhabiles

yves lepelletier

Anna Puszko

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