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References from Bioinformatics tools for protein modeling in cancer. Local targets link to admitted publications; unresolved targets remain external evidence.
Small-molecule inhibitors of protein-protein interactions: progressing towards the dream
10.1038/nrd1343 · 2004 · External reference
Accurate prediction of protein structures and interactions using a three-track neural network
10.1126/science.abj8754 · 2021 · External reference
P.E. Bourne, the protein data bank
10.1093/nar/28.1.235 · 2000 · External reference
A method to identify protein sequences that fold into a known three-dimensional structure
10.1126/science.1853201 · 1991 · External reference
Cryo-electron microscopy wins chemistry Nobel
10.1038/nature.2017.22738 · 2017 · External reference
Bioinformatics and computational approaches for analyzing patient-derived disease models in cancer research
10.1016/j.csbj.2020.01.010 · 2020 · External reference
MolIDE: a server for protein structure modeling
2016 · External reference
Biskit - A software platform for structural bioinformatics
2007 · External reference
Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation
10.1186/s12943-024-02140-6 · 2024 · External reference
Design protein-protein interaction network and protein-drug interaction network for common cancer diseases: a bioinformatics approach
10.1016/j.imu.2020.100311 · 2020 · External reference
DALI and the persistence of protein shape
10.1002/pro.3749 · 2020 · External reference
Bioinformatics tools and resources for cancer and application
10.1097/cm9.0000000000003254 · 2024 · External reference
FFAS03: a server for profile--profile sequence alignments
2005 · External reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · 2021 · External reference
Putting p53 in context
10.1016/j.cell.2017.08.028 · 2017 · External reference
The Phyre2 web portal for protein modeling, prediction and analysis
10.1038/nprot.2015.053 · 2015 · External reference
A three-dimensional model of the myoglobin molecule obtained by x-ray analysis
10.1038/181662a0 · 1958 · External reference
Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools
10.1177/117693510600200020 · 2006 · External reference
The ClusPro web server for protein-protein docking
10.1038/nprot.2016.169 · 2017 · External reference
The resolution revolution
10.1126/science.1251652 · 2014 · External reference
Artificial intelligence in fusion protein three-dimensional structure prediction: review and perspective
10.1002/ctm2.1789 · 2024 · External reference
Assessment of global and local model quality in CASP8 using Pcons and ProQ
10.1002/prot.22476 · 2009 · External reference
LigPlot+: Multiple ligand-protein interaction diagrams for drug discovery
10.1021/ci200227u · 2011 · External reference
Protein structure prediction via deep learning: an in-depth review
10.3389/fphar.2025.1498662 · 2025 · External reference
ModBase, a database of annotated comparative protein structure models and associated resources
10.1093/nar/gkt1144 · 2014 · External reference
@TOME 3.0: interfacing protein structure modeling and ligand docking
10.1016/j.jmb.2024.168704 · 2024 · External reference
Advances in AI for protein structure prediction: implications for cancer drug discovery and development
10.3390/biom14030339 · 2024 · External reference
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
10.1039/d2sc05709c · 2023 · External reference
A computational approach for structural and functional analyses of disease-associated mutations in the human CYLD gene
10.1186/s44342-024-00007-2 · 2024 · External reference
AlphaFold and what is next: bridging functional, systems and structural biology
10.1080/14789450.2025.2456046 · 2025 · External reference
AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
10.1002/jcc.21334 · 2010 · External reference
AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
10.1093/nar/gkab1061 · 2022 · External reference
WHAT IF: a molecular modeling and drug design program
10.1016/0263-7855(90)80070-v · 1990 · External reference
SWISS-MODEL: homology modelling of protein structures and complexes
10.1093/nar/gky427 · 2018 · External reference
Comparative protein structure modeling using MODELLER
10.1002/cpbi.3 · 2016 · External reference
Protein structure determination in solution by nuclear magnetic resonance spectroscopy
10.1126/science.2911719 · 1989 · External reference
I-TASSER server: new development for protein structure and function predictions
10.1093/nar/gkv342 · 2015 · External reference
Comprehensive review of web servers and bioinformatics tools for cancer prognosis analysis
2020 · External reference
A completely reimplemented mpi bioinformatics toolkit with a new hhpred server at its core
10.1016/j.jmb.2017.12.007 · 2018 · External reference
Comparative protein structure modeling using MODELLER
10.1002/cpbi.3 · ExternalCitation · doi-reference
Artificial intelligence in fusion protein three-dimensional structure prediction: review and perspective
10.1002/ctm2.1789 · ExternalCitation · doi-reference
AutoDock Vina: improving the speed and accuracy of docking with a new scoring function, efficient optimization, and multithreading
10.1002/jcc.21334 · ExternalCitation · doi-reference
DALI and the persistence of protein shape
10.1002/pro.3749 · ExternalCitation · doi-reference
Assessment of global and local model quality in CASP8 using Pcons and ProQ
10.1002/prot.22476 · ExternalCitation · doi-reference
WHAT IF: a molecular modeling and drug design program
10.1016/0263-7855(90)80070-v · ExternalCitation · doi-reference
Putting p53 in context
10.1016/j.cell.2017.08.028 · ExternalCitation · doi-reference
Bioinformatics and computational approaches for analyzing patient-derived disease models in cancer research
10.1016/j.csbj.2020.01.010 · ExternalCitation · 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 · ExternalCitation · doi-reference
A completely reimplemented mpi bioinformatics toolkit with a new hhpred server at its core
10.1016/j.jmb.2017.12.007 · ExternalCitation · doi-reference
@TOME 3.0: interfacing protein structure modeling and ligand docking
10.1016/j.jmb.2024.168704 · ExternalCitation · doi-reference
LigPlot+: Multiple ligand-protein interaction diagrams for drug discovery
10.1021/ci200227u · ExternalCitation · doi-reference
A three-dimensional model of the myoglobin molecule obtained by x-ray analysis
10.1038/181662a0 · ExternalCitation · doi-reference
Cryo-electron microscopy wins chemistry Nobel
10.1038/nature.2017.22738 · ExternalCitation · doi-reference
The Phyre2 web portal for protein modeling, prediction and analysis
10.1038/nprot.2015.053 · ExternalCitation · doi-reference
The ClusPro web server for protein-protein docking
10.1038/nprot.2016.169 · ExternalCitation · doi-reference
Small-molecule inhibitors of protein-protein interactions: progressing towards the dream
10.1038/nrd1343 · ExternalCitation · doi-reference
Highly accurate protein structure prediction with AlphaFold
10.1038/s41586-021-03819-2 · ExternalCitation · doi-reference
AlphaFold accelerates artificial intelligence powered drug discovery: efficient discovery of a novel CDK20 small molecule inhibitor
10.1039/d2sc05709c · ExternalCitation · doi-reference
AlphaFold and what is next: bridging functional, systems and structural biology
10.1080/14789450.2025.2456046 · ExternalCitation · doi-reference
P.E. Bourne, the protein data bank
10.1093/nar/28.1.235 · ExternalCitation · doi-reference
AlphaFold protein structure database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
10.1093/nar/gkab1061 · ExternalCitation · doi-reference
ModBase, a database of annotated comparative protein structure models and associated resources
10.1093/nar/gkt1144 · ExternalCitation · doi-reference
I-TASSER server: new development for protein structure and function predictions
10.1093/nar/gkv342 · ExternalCitation · doi-reference
SWISS-MODEL: homology modelling of protein structures and complexes
10.1093/nar/gky427 · ExternalCitation · doi-reference
Bioinformatics tools and resources for cancer and application
10.1097/cm9.0000000000003254 · ExternalCitation · doi-reference
The resolution revolution
10.1126/science.1251652 · ExternalCitation · doi-reference
A method to identify protein sequences that fold into a known three-dimensional structure
10.1126/science.1853201 · ExternalCitation · doi-reference
Protein structure determination in solution by nuclear magnetic resonance spectroscopy
10.1126/science.2911719 · ExternalCitation · doi-reference
Accurate prediction of protein structures and interactions using a three-track neural network
10.1126/science.abj8754 · ExternalCitation · doi-reference
Bioinformatics resources for cancer research with an emphasis on gene function and structure prediction tools
10.1177/117693510600200020 · ExternalCitation · doi-reference
Artificial intelligence alphafold model for molecular biology and drug discovery: a machine-learning-driven informatics investigation
10.1186/s12943-024-02140-6 · ExternalCitation · 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 · ExternalCitation · doi-reference
Protein structure prediction via deep learning: an in-depth review
10.3389/fphar.2025.1498662 · ExternalCitation · doi-reference
Advances in AI for protein structure prediction: implications for cancer drug discovery and development
10.3390/biom14030339 · ExternalCitation · doi-reference
