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X-ray Crystallography Module in MD Simulation Program Amber 2023. Refining the Models of Protein Crystals.
Mikhailovskii, Oleg; Izmailov, Sergei A; Xue, Yi; Case, David A; Skrynnikov, Nikolai R.
Affiliation
  • Mikhailovskii O; Laboratory of Biomolecular NMR, St. Petersburg State University, St. Petersburg 199034, Russia.
  • Izmailov SA; Laboratory of Biomolecular NMR, St. Petersburg State University, St. Petersburg 199034, Russia.
  • Xue Y; School of Life Sciences, Tsinghua University, Beijing 100084, China.
  • Case DA; Beijing Advanced Innovation Center for Structural Biology, Tsinghua University, Beijing 100084, China.
  • Skrynnikov NR; Department of Chemistry & Chemical Biology, Rutgers University, Piscataway, New Jersey 08854, United States.
J Chem Inf Model ; 64(1): 18-25, 2024 01 08.
Article in En | MEDLINE | ID: mdl-38147516
ABSTRACT
The MD simulation package Amber offers an attractive platform to refine crystallographic structures of proteins (i) state-of-the-art force fields help to regularize protein coordinates and reconstruct the poorly diffracting elements of the structure, such as flexible loops; (ii) MD simulations restrained by the experimental diffraction data provide an effective strategy to optimize structural models of protein crystals, including explicitly modeled interstitial solvent as well as crystal contacts. Here, we present the new crystallography module xray, released as a part of the Amber 2023 package. This module contains functions to calculate and scale structure factors (including the contributions from bulk solvent), evaluate the maximum-likelihood-type crystallographic potential, and compute its derivative forces. The X-ray functionality of Amber no longer relies on external dependencies so that the full advantage of GPU acceleration can be taken. This makes it possible to refine in a short time hundreds of crystal models, including supercell models comprised of multiple unit cells. The new automated Amber-based refinement procedure leads to an appreciable improvement in Rfree (in some cases, by as much as 0.067) as well as MolProbity scores.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Amber / Molecular Dynamics Simulation Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2024 Type: Article Affiliation country: RUSSIA

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Amber / Molecular Dynamics Simulation Language: En Journal: J Chem Inf Model Journal subject: INFORMATICA MEDICA / QUIMICA Year: 2024 Type: Article Affiliation country: RUSSIA