Repositorio Institucional
Repositorio Institucional
CONICET Digital
  • Inicio
  • EXPLORAR
    • AUTORES
    • DISCIPLINAS
    • COMUNIDADES
  • Estadísticas
  • Novedades
    • Noticias
    • Boletines
  • Ayuda
    • General
    • Datos de investigación
  • Acerca de
    • CONICET Digital
    • Equipo
    • Red Federal
  • Contacto
JavaScript is disabled for your browser. Some features of this site may not work without it.
  • INFORMACIÓN GENERAL
  • RESUMEN
  • ESTADISTICAS
 
Capítulo de Libro

Simulating Transmembrane Proteins with the Coarse-Grained SIRAH Force Field: Tips and Tricks for Setting Up and Running in AMBER

Título del libro: A Practical Guide to Recent Advances in Multiscale Modeling and Simulation of Biomolecules

Barrera Guisasola, Exequiel ErnestoIcon ; Pantano Gutierrez, Sergio Fabian
Otros responsables: Wang, Yong; Zhou, Ruhong
Fecha de publicación: 2023
Editorial: AIP Publishing Books
ISBN: 978-0-7354-2527-9
Idioma: Inglés
Clasificación temática:
Ciencias de la Información y Bioinformática

Resumen

Biological membranes constitute enormously complex objects formed of hundreds to thousands of different species of lipids in a crowded mix with a similarly massive variety of proteins, continuously exchanging information among themselves (Harayama and Riezman, 2018). Such interactions are crucial to regulate protein function and sorting into different subcellular organelles (Chattopadhyay, 2017). Indeed, our vision of biological membranes has evolved from a passive role in the fluid mosaic model (Singer and Nicolson, 1972) to a highly complex and tightly regulated hub of interactions and signaling processes (Goñi, 2014).In parallel, advances in molecular dynamics (MD) simulations nowadays provide a perspective on the structure and dynamics of membrane systems that is difficult to achieve using experimental techniques. State-of-the-art MD can actually breach resolution gaps linking the nanoscales with the mesoscales and achieve an astonishing complexity level (Chavent et al., 2016; Marrink et al., 2019; and Pezeshkian and Marrink, 2021).Nevertheless, the elevated cost of fully atomistic descriptions has prompted the development of coarse-grained (CG) representations that reduce the computational burden while keeping an acceptable resolution in the intermolecular interactions that determine the behavior of the system. Many CG models have been reported in the literature (Ingólfsson et al., 2014). Among them, CG models that retain molecular details at a single residue level are particularly interesting since they can matchthe resolution achievable by experimental techniques, providing valuable and verifiable insights on biologically relevant systems.This chapter illustrates how to perform MD simulations of membrane proteins using the SIRAH force field for CG and multiscale simulations using the AMBER package (https://ambermd.org). SIRAH (Southamerican Initiative for a Rapid and Accurate Hamiltonian, https://www.sirahff.com) constitutes one of the most complete CG force fields reported in the literature, with topologies and parameters for most biological molecules.
Palabras clave: Biological membranes , Protein , Vision
Ver el registro completo
 
Archivos asociados
Tamaño: 545.9Kb
Formato: PDF
.
Solicitar
Licencia
info:eu-repo/semantics/restrictedAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/250701
URL: https://pubs.aip.org/books/monograph/137/chapter-abstract/58880922/Simulating-Tr
DOI: https://doi.org/10.1063/9780735425279_003
Colecciones
Capítulos de libros(IHEM)
Capítulos de libros de INST. HISTOLOGIA Y EMBRIOLOGIA DE MEND DR.M.BURGOS
Citación
Barrera Guisasola, Exequiel Ernesto; Pantano Gutierrez, Sergio Fabian; Simulating Transmembrane Proteins with the Coarse-Grained SIRAH Force Field: Tips and Tricks for Setting Up and Running in AMBER; AIP Publishing Books; 2023; 67-86
Compartir
Altmétricas
 

Enviar por e-mail
Separar cada destinatario (hasta 5) con punto y coma.
  • Facebook
  • X Conicet Digital
  • Instagram
  • YouTube
  • Sound Cloud
  • LinkedIn

Los contenidos del CONICET están licenciados bajo Creative Commons Reconocimiento 2.5 Argentina License

https://www.conicet.gov.ar/ - CONICET

Inicio

Explorar

  • Autores
  • Disciplinas
  • Comunidades

Estadísticas

Novedades

  • Noticias
  • Boletines

Ayuda

Acerca de

  • CONICET Digital
  • Equipo
  • Red Federal

Contacto

Godoy Cruz 2290 (C1425FQB) CABA – República Argentina – Tel: +5411 4899-5400 repositorio@conicet.gov.ar
TÉRMINOS Y CONDICIONES