ArticleNucleic acids research2010
DBCP: a web server for disulfide bonding connectivity pattern prediction without the prior knowledge of the bonding state of cysteines.
Article in Nucleic acids research, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- AlphaLasso-a web server to identify loop and lasso motifs in 3D structure of biopolymers.Nucleic acids research · 2025Article
- In Silico Conotoxin Studies: Progress and Prospects.Molecules (Basel, Switzerland) · 2024Review
- Increased EGFRvIII Epitope Accessibility after Tyrosine Kinase Inhibitor Treatment of Glioblastoma Cells Creates More Opportunities for Immunotherapy.International journal of molecular sciences · 2023Article
- Overcoming the Solubility Problem in E. coli: Available Approaches for Recombinant Protein Production.Methods in molecular biology (Clifton, N.J.) · 2022Review
- Snails In Silico: A Review of Computational Studies on the Conopeptides.Marine drugs · 2019Review
- Bacterial thiol oxidoreductases - from basic research to new antibacterial strategies.Applied microbiology and biotechnology · 2017Review
- Prediction of reversible disulfide based on features from local structural signatures.BMC genomics · 2017Article
- Prediction of redox-sensitive cysteines using sequential distance and other sequence-based features.BMC bioinformatics · 2016Article
- Accurate disulfide-bonding network predictions improve ab initio structure prediction of cysteine-rich proteins.Bioinformatics (Oxford, England) · 2015Article
- Soft Computing Methods for Disulfide Connectivity Prediction.Evolutionary bioinformatics online · 2015Review
- A Polychaete's powerful punch: venom gland transcriptomics of Glycera reveals a complex cocktail of toxin homologs.Genome biology and evolution · 2014Article
- The first venomous crustacean revealed by transcriptomics and functional morphology: remipede venom glands express a unique toxin cocktail dominated by enzymes and a neurotoxin.Molecular biology and evolution · 2014Article
- On the relevance of sophisticated structural annotations for disulfide connectivity pattern prediction.PloS one · 2013Article
- Article
- Analysis and functional prediction of reactive cysteine residues.The Journal of biological chemistry · 2012Review
- Redox biology: computational approaches to the investigation of functional cysteine residues.Antioxidants & redox signaling · 2011Review
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Authors and funding
2 authors.
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Abstract
The proper prediction of the location of disulfide bridges is efficient in helping to solve the protein folding problem. Most of the previous works on the prediction of disulfide connectivity pattern use the prior knowledge of the bonding state of cysteines. The DBCP web server provides prediction of disulfide bonding connectivity pattern without the prior knowledge of the bonding state of cysteines. The method used in this server improves the accuracy of disulfide connectivity pattern prediction (Q(p)) over the previous studies reported in the literature. This DBCP server can be accessed at http://120.107.8.16/dbcp or http://140.120.14.136/dbcp.
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