Improved AlphaFold modeling with implicit experimental information

ColabFold: making protein folding accessible to all

(2022) Milot Mirdita et al.   NATURE METHODS

SPEACH_AF: Sampling protein ensembles and conformational heterogeneity with Alphafold2

(2022) Richard A. Stein et al.   PLoS Computational Biology

CopulaNet: Learning residue co-evolution directly from multiple sequence alignment for protein structure prediction

(2021) Fusong Ju et al.   Nature Communications

Molecular structure of the intact bacterial flagellar basal body

(2021) Steven Johnson et al.   Nature Microbiology

Structural basis of omega-3 fatty acid transport across the blood–brain barrier

(2021) Rosemary J. Cater et al.   NATURE

Highly accurate protein structure prediction with AlphaFold

(2021) John Jumper et al.   NATURE

Highly accurate protein structure prediction for the human proteome

(2021) Kathryn Tunyasuvunakool et al.   NATURE

AlphaFold2 and the future of structural biology

(2021) Patrick Cramer   NATURE STRUCTURAL & MOLECULAR BIOLOGY

Assessing the utility of CASP14 models for molecular replacement

(2021) Claudia Millán et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Cryo‐EM targets in CASP14

(2021) Tristan Cragnolini et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Critical Assessment of Methods of Protein Structure Prediction ( CASP ) – Round XIV

(2021) Andriy Kryshtafovych et al.   PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS

Ultrapotent antibodies against diverse and highly transmissible SARS-CoV-2 variants

(2021) Lingshu Wang et al.   SCIENCE

Accurate prediction of protein structures and interactions using a three-track neural network

(2021) Minkyung Baek et al.   SCIENCE

Machine learning in protein structure prediction

(2021) Mohammed AlQuraishi   CURRENT OPINION IN CHEMICAL BIOLOGY

AI revolutions in biology

(2021) Anastassis Perrakis et al.   EMBO REPORTS

The AlphaFold Database of Protein Structures: A Biologist’s Guide

(2021) Alessia David et al.   JOURNAL OF MOLECULAR BIOLOGY

UCSF ChimeraX : Structure visualization for researchers, educators, and developers

(2020) Eric F. Pettersen et al.   PROTEIN SCIENCE

DeepTracer for fast de novo cryo-EM protein structure modeling and special studies on CoV-related complexes

(2020) Jonas Pfab et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Shift-field refinement of macromolecular atomic models

(2020) K. Cowtan et al.   Acta Crystallographica Section D-Structural Biology

Macromolecular structure determination using X-rays, neutrons and electrons: recent developments in Phenix

(2019) Dorothee Liebschner et al.   Acta Crystallographica Section D-Structural Biology

Cryo‐EM map interpretation and protein model‐building using iterative map segmentation

(2019) Thomas C. Terwilliger et al.   PROTEIN SCIENCE

Real-space refinement in PHENIX for cryo-EM and crystallography

(2018) Pavel V. Afonine et al.   Acta Crystallographica Section D-Structural Biology

Model morphing and sequence assignment after molecular replacement

(2013) Thomas C. Terwilliger et al.   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

lDDT: a local superposition-free score for comparing protein structures and models using distance difference tests

(2013) Valerio Mariani et al.   BIOINFORMATICS

Protein 3D Structure Computed from Evolutionary Sequence Variation

(2011) Debora S. Marks et al.   PLoS One

Percentile-based spread: a more accurate way to compare crystallographic models

(2010) Edwin Pozharski   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

Features and development ofCoot

(2010) P. Emsley et al.   ACTA CRYSTALLOGRAPHICA SECTION D-BIOLOGICAL CRYSTALLOGRAPHY

EMDataBank.org: unified data resource for CryoEM

(2010) C. L. Lawson et al.   NUCLEIC ACIDS RESEARCH