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Numerical Techniques for Applications of Analytical Theories to Sequence-Dependent Phase Separations of Intrinsically Disordered Proteins.
Lin, Yi-Hsuan; Wessén, Jonas; Pal, Tanmoy; Das, Suman; Chan, Hue Sun.
Afiliación
  • Lin YH; Department of Biochemistry, University of Toronto, Toronto, ON, Canada.
  • Wessén J; Molecular Medicine, Hospital for Sick Children, Toronto, ON, Canada.
  • Pal T; Department of Biochemistry, University of Toronto, Toronto, ON, Canada.
  • Das S; Department of Biochemistry, University of Toronto, Toronto, ON, Canada.
  • Chan HS; Department of Biochemistry, University of Toronto, Toronto, ON, Canada.
Methods Mol Biol ; 2563: 51-94, 2023.
Article en En | MEDLINE | ID: mdl-36227468
Biomolecular condensates, physically underpinned to a significant extent by liquid-liquid phase separation (LLPS), are now widely recognized by numerous experimental studies to be of fundamental biological, biomedical, and biophysical importance. In the face of experimental discoveries, analytical formulations emerged as a powerful yet tractable tool in recent theoretical investigations of the role of LLPS in the assembly and dissociation of these condensates. The pertinent LLPS often involves, though not exclusively, intrinsically disordered proteins engaging in multivalent interactions that are governed by their amino acid sequences. For researchers interested in applying these theoretical methods, here we provide a practical guide to a set of computational techniques devised for extracting sequence-dependent LLPS properties from analytical formulations. The numerical procedures covered include those for the determination of spinodal and binodal phase boundaries from a general free energy function with examples based on the random phase approximation in polymer theory, construction of tie lines for multiple-component LLPS, and field-theoretic simulation of multiple-chain heteropolymeric systems using complex Langevin dynamics. Since a more accurate physical picture often requires comparing analytical theory against explicit-chain model predictions, a commonly utilized methodology for coarse-grained molecular dynamics simulations of sequence-specific LLPS is also briefly outlined.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Intrínsecamente Desordenadas Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Proteínas Intrínsecamente Desordenadas Idioma: En Revista: Methods Mol Biol Asunto de la revista: BIOLOGIA MOLECULAR Año: 2023 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Estados Unidos