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Local Disordered Region Sampling (LDRS) for ensemble modeling of proteins with experimentally undetermined or low confidence prediction segments.
Liu, Zi Hao; Teixeira, João M C; Zhang, Oufan; Tsangaris, Thomas E; Li, Jie; Gradinaru, Claudiu C; Head-Gordon, Teresa; Forman-Kay, Julie D.
Afiliación
  • Liu ZH; Molecular Medicine Program, Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
  • Teixeira JMC; Department of Biochemistry, University of Toronto, Toronto, ON M5S 1A8, Canada.
  • Zhang O; Molecular Medicine Program, Hospital for Sick Children, Toronto, ON M5G 0A4, Canada.
  • Tsangaris TE; Pitzer Center for Theoretical Chemistry, University of California, Berkeley, Berkeley, CA 94720, United States.
  • Li J; Department of Chemistry, University of California, Berkeley, Berkeley, CA 94720-1460, United States.
  • Gradinaru CC; Department of Physics, University of Toronto, Toronto, ON M5S 1A7, Canada.
  • Head-Gordon T; Department of Chemical and Physical Sciences, University of Toronto Mississauga, Mississauga, ON L5L 1C6, Canada.
  • Forman-Kay JD; Pitzer Center for Theoretical Chemistry, University of California, Berkeley, Berkeley, CA 94720, United States.
Bioinformatics ; 39(12)2023 12 01.
Article en En | MEDLINE | ID: mdl-38060268
ABSTRACT

SUMMARY:

The Local Disordered Region Sampling (LDRS, pronounced loaders) tool is a new module developed for IDPConformerGenerator, a previously validated approach to model intrinsically disordered proteins (IDPs). The IDPConformerGenerator LDRS module provides a method for generating all-atom conformations of intrinsically disordered protein regions at N- and C-termini of and in loops or linkers between folded regions of an existing protein structure. These disordered elements often lead to missing coordinates in experimental structures or low confidence in predicted structures. Requiring only a pre-existing PDB or mmCIF formatted structural template of the protein with missing coordinates or with predicted confidence scores and its full-length primary sequence, LDRS will automatically generate physically meaningful conformational ensembles of the missing flexible regions to complete the full-length protein. The capabilities of the LDRS tool of IDPConformerGenerator include modeling phosphorylation sites using enhanced Monte Carlo-Side Chain Entropy, transmembrane proteins within an all-atom bilayer, and multi-chain complexes. The modeling capacity of LDRS capitalizes on the modularity, the ability to be used as a library and via command-line, and the computational speed of the IDPConformerGenerator platform. AVAILABILITY AND IMPLEMENTATION The LDRS module is part of the IDPConformerGenerator modeling suite, which can be downloaded from GitHub at https//github.com/julie-forman-kay-lab/IDPConformerGenerator. IDPConformerGenerator is written in Python3 and works on Linux, Microsoft Windows, and Mac OS versions that support DSSP. Users can utilize LDRS's Python API for scripting the same way they can use any part of IDPConformerGenerator's API, by importing functions from the "idpconfgen.ldrs_helper" library. Otherwise, LDRS can be used as a command line interface application within IDPConformerGenerator. Full documentation is available within the command-line interface as well as on IDPConformerGenerator's official documentation pages (https//idpconformergenerator.readthedocs.io/en/latest/).
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Intrínsecamente Desordenadas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Canadá

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Programas Informáticos / Proteínas Intrínsecamente Desordenadas Idioma: En Revista: Bioinformatics Asunto de la revista: INFORMATICA MEDICA Año: 2023 Tipo del documento: Article País de afiliación: Canadá