Found: 17
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Analysis of binding properties and specificity through identification of the interface forming residues (IFR) for serine proteases in silico docked to different inhibitors.
- Published in:
- BMC Structural Biology, 2010, v. 10, p. 36, doi. 10.1186/1472-6807-10-36
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- Article
Cutoff Scanning Matrix (CSM): structural classification and function prediction by protein inter-residue distance patterns.
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- BMC Genomics, 2011, v. 12, n. Suppl 4, p. 1, doi. 10.1186/1471-2164-12-S4-S12
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- Article
Know-how of holding a Bioinformatics competition: Structure, model, overview, and perspectives.
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- PLoS Computational Biology, 2023, v. 19, n. 12, p. 1, doi. 10.1371/journal.pcbi.1011679
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- Article
The Role of Structural Bioinformatics in Understanding Tumor Necrosis Factor α-Interacting Protein Mechanisms in Chronic Inflammatory Diseases: A Review.
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- Immuno, 2024, v. 4, n. 1, p. 14, doi. 10.3390/immuno4010002
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- Article
Vermont: a multi-perspective visual interactive platform for mutational analysis.
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- BMC Bioinformatics, 2017, v. 18, p. 51, doi. 10.1186/s12859-017-1789-3
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- Article
Machine learning models exploring characteristic single-nucleotide signatures in yellow fever virus.
- Published in:
- PLoS ONE, 2022, v. 17, n. 12, p. 1, doi. 10.1371/journal.pone.0278982
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- Article
GRaSP: a graph-based residue neighborhood strategy to predict binding sites.
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- Bioinformatics, 2020, v. 36, p. i726, doi. 10.1093/bioinformatics/btaa805
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- Article
An Approach for Engineering Peptides for Competitive Inhibition of the SARS-COV-2 Spike Protein.
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- Molecules, 2024, v. 29, n. 7, p. 1577, doi. 10.3390/molecules29071577
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- Article
GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs.
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- Nucleic Acids Research, 2022, v. 50, n. W1, p. W392, doi. 10.1093/nar/gkac323
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- Article
PDBest: a user-friendly platform for manipulating and enhancing protein structures.
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- Bioinformatics, 2015, v. 31, n. 17, p. 2894, doi. 10.1093/bioinformatics/btv223
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- Article
GASS: identifying enzyme active sites with genetic algorithms.
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- Bioinformatics, 2015, v. 31, n. 6, p. 864, doi. 10.1093/bioinformatics/btu746
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- Article
aCSM: noise-free graph-based signatures to large-scale receptor-based ligand prediction.
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- Bioinformatics, 2013, v. 29, n. 7, p. 855, doi. 10.1093/bioinformatics/btt058
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- Article
Identification of subfamily-specific sites based on active sites modeling and clustering.
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- Bioinformatics, 2010, v. 26, n. 24, p. 3075, doi. 10.1093/bioinformatics/btq595
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- Article
VERMONT: Visualizing mutations and their effects on protein physicochemical and topological property conservation.
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- BMC Proceedings, 2014, p. 1, doi. 10.1186/1753-6561-8-S2-S4
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- Article
Propedia: a database for protein–peptide identification based on a hybrid clustering algorithm.
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- BMC Bioinformatics, 2021, v. 22, n. 1, p. 1, doi. 10.1186/s12859-020-03881-z
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- Article
Proteus: An algorithm for proposing stabilizing mutation pairs based on interactions observed in known protein 3D structures.
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- BMC Bioinformatics, 2020, v. 21, n. 1, p. 1, doi. 10.1186/s12859-020-03575-6
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- Publication type:
- Article
visGReMLIN: graph mining-based detection and visualization of conserved motifs at 3D protein-ligand interface at the atomic level.
- Published in:
- BMC Bioinformatics, 2020, v. 21, p. 1, doi. 10.1186/s12859-020-3347-7
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- Article