Epitope Identification of an mGlu5 Receptor Nanobody Using Physics-Based Molecular Modeling and Deep Learning Techniques-Reference-Cited by-同舟云学术

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Epitope Identification of an mGlu5 Receptor Nanobody Using Physics-Based Molecular Modeling and Deep Learning Techniques

Published:2024-02-29 Issue:11 Volume:64 Page:4436-4461
ISSN:1549-9596
Container-title:Journal of Chemical Information and Modeling
language:en
Short-container-title:J. Chem. Inf. Model.

Author:

Eshak Floriane¹^ORCID,Pion Léo²,Scholler Pauline²,Nevoltris Damien³,Chames Patrick³^ORCID,Rondard Philippe²,Pin Jean-Philippe²^ORCID,Acher Francine C.¹^ORCID,Goupil-Lamy Anne⁴

Affiliation:

1. SPPIN CNRS UMR 8003, Université Paris Cité, 75006 Paris, France

2. Institut de Génomique Fonctionnelle, Université Montpellier, CNRS, Inserm, 34094 Montpellier, France

3. Aix Marseille University, CNRS, Inserm, Institut Paoli-Calmettes, CRCM, 13009 Marseille, France

4. BIOVIA Science Council, Dassault Systèmes, 78140 Vélizy-Villacoublay, France

Funder

Agence Nationale de la Recherche

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jcim.3c01620

Reference81 articles.

1. A comprehensive comparison between camelid nanobodies and single chain variable fragments

2. Properties, production, and applications of camelid single-domain antibody fragments

3. Naturally occurring antibodies devoid of light chains

4. A guide to: generation and design of nanobodies

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