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Hamza Biyuzan

dblp:371/1271 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2024
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › structural biology
flexible molecular alignment
0.812024
SENSAAS-Flex: a joint optimization approach for aligning 3D shapes and exploring the molecular conformation space · Bioinform. 2024
Bioinformatics and computational biology
structural biology
0.812024
SENSAAS-Flex: a joint optimization approach for aligning 3D shapes and exploring the molecular conformation space · Bioinform. 2024
Bioinformatics and computational biology › protein structure prediction
conformational sampling
0.212024
SENSAAS-Flex: a joint optimization approach for aligning 3D shapes and exploring the molecular conformation space · Bioinform. 2024

Methods — techniques the papers use, named apart from their topics

shape-based alignment · 0.8conformational optimization · 0.8
YearPublicationVenuePosition
2024 SENSAAS-Flex: a joint optimization approach for aligning 3D shapes and exploring the molecular conformation space
abstract
MOTIVATION: Popular shape-based alignment methods handle molecular flexibility by utilizing conformational ensembles to select the most fitted conformer. However, the initial conformer library generation step is computationally intensive and limiting to the overall alignment process. In this work, we describe a method to perform flexible alignment of two molecular shapes by optimizing the 3D conformation. SENSAAS-Flex, an add-on to the SENSAAS tool, is able to proceed from a limited set of initial conformers through an iterative process where additional conformational optimizations are made at the substructure level and constrained by the target shape. RESULTS: In self- and cross-alignment experiments, SENSAAS-Flex is able to reproduce the crystal structure geometry of ligands of the AstraZeneca Molecule Overlay Test set and PDBbind refined dataset. Our study shows that the point-based representation of molecular surfaces is appropriate in terms of shape constraint to sample the conformational space and perform flexible molecular alignments. AVAILABILITY AND IMPLEMENTATION: The documentation and source code are available at https://chemoinfo.ipmc.cnrs.fr/Sensaas-flex/sensaas-flex-main.tar.gz.
Hamza Biyuzan, Mohamed-Akram Masrour, Lucas Grandmougin, Frédéric Payan, Dominique Douguet
Bioinform.1