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Alpana Srishti Rai, Seneha Santoshi, Shazia Rashid
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10.1016/j.jmb.2017.12.007 · doi-reference
I-TASSER server: new development for protein structure and function predictions
10.1093/nar/gkv342 · doi-reference
Protein structure determination in solution by nuclear magnetic resonance spectroscopy
10.1126/science.2911719 · doi-reference
Comparative protein structure modeling using MODELLER
10.1002/cpbi.3 · doi-reference
SWISS-MODEL: homology modelling of protein structures and complexes
10.1093/nar/gky427 · doi-reference
WHAT IF: a molecular modeling and drug design program
10.1016/0263-7855(90)80070-v · doi-reference
AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
10.1093/nar/gkab1061 · doi-reference
AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
10.1002/jcc.21334 · doi-reference
AlphaFold and what is next: bridging functional, systems and structural biology
10.1080/14789450.2025.2456046 · doi-reference
A computational approach for structural and functional analyses of disease-associated mutations in the human CYLD gene
10.1186/s44342-024-00007-2 · doi-reference
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
10.1039/d2sc05709c · doi-reference
Advances in AI for protein structure prediction: implications for cancer drug discovery and development
10.3390/biom14030339 · doi-reference
@TOME 3.0: interfacing protein structure modeling and ligand docking
10.1016/j.jmb.2024.168704 · doi-reference
ModBase, a database of annotated comparative protein structure models and associated resources
10.1093/nar/gkt1144 · doi-reference
Protein structure prediction via deep learning: an in-depth review
10.3389/fphar.2025.1498662 · doi-reference
LigPlot+: Multiple ligand-protein interaction diagrams for drug discovery
10.1021/ci200227u · doi-reference
Assessment of global and local model quality in CASP8 using Pcons and ProQ
10.1002/prot.22476 · doi-reference
Artificial intelligence in fusion protein three-dimensional structure prediction: review and perspective
10.1002/ctm2.1789 · doi-reference
The resolution revolution
10.1126/science.1251652 · doi-reference
The ClusPro web server for protein-protein docking
10.1038/nprot.2016.169 · doi-reference
Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools
10.1177/117693510600200020 · doi-reference
A three-dimensional model of the myoglobin molecule obtained by x-ray analysis
10.1038/181662a0 · doi-reference
The Phyre2 web portal for protein modeling, prediction and analysis
10.1038/nprot.2015.053 · doi-reference
Putting p53 in context
10.1016/j.cell.2017.08.028 · doi-reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · doi-reference
Bioinformatics tools and resources for cancer and application
10.1097/cm9.0000000000003254 · doi-reference
DALI and the persistence of protein shape
10.1002/pro.3749 · doi-reference
Design protein-protein interaction network and protein-drug interaction network for common cancer diseases: a bioinformatics approach
10.1016/j.imu.2020.100311 · doi-reference
Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation
10.1186/s12943-024-02140-6 · doi-reference
Bioinformatics and computational approaches for analyzing patient-derived disease models in cancer research
10.1016/j.csbj.2020.01.010 · doi-reference
Cryo-electron microscopy wins chemistry Nobel
10.1038/nature.2017.22738 · doi-reference
A method to identify protein sequences that fold into a known three-dimensional structure
10.1126/science.1853201 · doi-reference
P.E. Bourne, the protein data bank
10.1093/nar/28.1.235 · doi-reference
Accurate prediction of protein structures and interactions using a three-track neural network
10.1126/science.abj8754 · doi-reference
Small-molecule inhibitors of protein-protein interactions: progressing towards the dream
10.1038/nrd1343 · doi-reference