학술논문

qFit 3: Protein and ligand multiconformer modeling for X‐ray crystallographic and single‐particle cryo‐EM density maps
Document Type
article
Source
Protein Science. 30(1)
Subject
Biochemistry and Cell Biology
Chemical Sciences
Biological Sciences
Bioengineering
Networking and Information Technology R&D (NITRD)
Generic health relevance
Algorithms
Cryoelectron Microscopy
Crystallography
X-Ray
Ligands
Models
Molecular
Proteins
Software
conformational ensemble
cryo‐
electron microscopy
multiconformer models
protein dynamics
X‐
ray crystallography
X-ray crystallography
cryo-electron microscopy
Computation Theory and Mathematics
Other Information and Computing Sciences
Biophysics
Biochemistry and cell biology
Medicinal and biomolecular chemistry
Language
Abstract
New X-ray crystallography and cryo-electron microscopy (cryo-EM) approaches yield vast amounts of structural data from dynamic proteins and their complexes. Modeling the full conformational ensemble can provide important biological insights, but identifying and modeling an internally consistent set of alternate conformations remains a formidable challenge. qFit efficiently automates this process by generating a parsimonious multiconformer model. We refactored qFit from a distributed application into software that runs efficiently on a small server, desktop, or laptop. We describe the new qFit 3 software and provide some examples. qFit 3 is open-source under the MIT license, and is available at https://github.com/ExcitedStates/qfit-3.0.