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The LightDock Server: Artificial Intelligence-powered modeling of macromolecular interactions.
Jiménez-García, Brian; Roel-Touris, Jorge; Barradas-Bautista, Didier.
Afiliação
  • Jiménez-García B; Zymvol Biomodeling, Pau Claris 94 3B, 08010, Barcelona, Spain.
  • Roel-Touris J; Protein Design and Modeling Lab, Department of Structural Biology, Molecular Biology Institute of Barcelona (IBMB-CSIC), Baldiri Reixac 15, 08028Barcelona, Spain.
  • Barradas-Bautista D; Kaust Visualization Lab, Core lab Division, King Abdullah University of Science and Technology (KAUST), 23955-6900, Thuwal, Saudi Arabia.
Nucleic Acids Res ; 51(W1): W298-W304, 2023 07 05.
Article em En | MEDLINE | ID: mdl-37140054
Computational docking is an instrumental method of the structural biology toolbox. Specifically, integrative modeling software, such as LightDock, arise as complementary and synergetic methods to experimental structural biology techniques. Ubiquitousness and accessibility are fundamental features to promote ease of use and to improve user experience. With this goal in mind, we have developed the LightDock Server, a web server for the integrative modeling of macromolecular interactions, along with several dedicated usage modes. The server builds upon the LightDock macromolecular docking framework, which has proved useful for modeling medium-to-high flexible complexes, antibody-antigen interactions, or membrane-associated protein assemblies. We believe that this free-to-use resource will be a valuable addition to the structural biology community and can be accessed online at: https://server.lightdock.org/.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biologia Computacional / Substâncias Macromoleculares / Simulação de Acoplamento Molecular Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Inteligência Artificial / Biologia Computacional / Substâncias Macromoleculares / Simulação de Acoplamento Molecular Idioma: En Revista: Nucleic Acids Res Ano de publicação: 2023 Tipo de documento: Article