Protein data bank: a comprehensive review of 3D structure holdings and worldwide utilization by researchers, educators, and students

SK Burley, HM Berman, JM Duarte, Z Feng, JW Flatt… - Biomolecules, 2022 - mdpi.com
The Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB),
funded by the United States National Science Foundation, National Institutes of Health, and …

The protein data bank archive

S Velankar, SK Burley, G Kurisu, JC Hoch… - Structural Proteomics …, 2021 - Springer
Abstract Protein Data Bank is the single worldwide archive of experimentally determined
macromolecular structure data. Established in 1971 as the first open access data resource in …

New prediction categories in CASP15

A Kryshtafovych, M Antczak… - Proteins: Structure …, 2023 - Wiley Online Library
Prediction categories in the Critical Assessment of Structure Prediction (CASP) experiments
change with the need to address specific problems in structure modeling. In CASP15, four …

Automation of absolute protein-ligand binding free energy calculations for docking refinement and compound evaluation

G Heinzelmann, MK Gilson - Scientific reports, 2021 - nature.com
Absolute binding free energy calculations with explicit solvent molecular simulations can
provide estimates of protein-ligand affinities, and thus reduce the time and costs needed to …

Continuous Automated Model EvaluatiOn (CAMEO)—Perspectives on the future of fully automated evaluation of structure prediction methods

X Robin, J Haas, R Gumienny… - Proteins: Structure …, 2021 - Wiley Online Library
Abstract The Continuous Automated Model EvaluatiOn (CAMEO) platform complements the
biennial CASP experiment by conducting fully automated blind evaluations of three …

Assessment of protein–ligand complexes in CASP15

X Robin, G Studer, J Durairaj… - Proteins: Structure …, 2023 - Wiley Online Library
CASP15 introduced a new category, ligand prediction, where participants were provided
with a protein or nucleic acid sequence, SMILES line notation, and stoichiometry for ligands …

Insights from incorporating quantum computing into drug design workflows

B Lau, PS Emani, J Chapman, L Yao, T Lam… - …, 2023 - academic.oup.com
Motivation While many quantum computing (QC) methods promise theoretical advantages
over classical counterparts, quantum hardware remains limited. Exploiting near-term QC in …

True accuracy of fast scoring functions to predict high-throughput screening data from docking poses: the simpler the better

VK Tran-Nguyen, G Bret, D Rognan - Journal of Chemical …, 2021 - ACS Publications
Hundreds of fast scoring functions have been developed over the last 20 years to predict
binding free energies from three-dimensional structures of protein-ligand complexes …

Structure based virtual screening: Fast and slow

A Varela‐Rial, M Majewski… - Wiley Interdisciplinary …, 2022 - Wiley Online Library
For many decades virtual screening methods have provided a convenient and cost effective
in silico solution in the early stages of drug discovery. In particular, molecular docking uses …

Protein-Based Virtual Screening Tools Applied for RNA–Ligand Docking Identify New Binders of the preQ1-Riboswitch

E Kallert, TR Fischer, S Schneider… - Journal of Chemical …, 2022 - ACS Publications
Targeting RNA with small molecules is an emerging field. While several ligands for different
RNA targets are reported, structure-based virtual screenings (VSs) against RNAs are still …