Knottins proteins are a new division of small disulfide-rich proteins characterized by a very special “disulfide through disulfide knot” in a classification of proteins.This knot is achieved when one disulfide bridge crosses the macrocycle formed by the two other disulfides and the interconnecting backbone.The knot structure implies that knottins contain at least 3 disulfide bridges …
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SDAP is an onine Web based service that integrates a database of allergenic proteins with various computational and bioinformatics tools that can assist structural biology studies related to allergens. SDAP is a useful important tool in the investigation of the cross-reactivity between known allergens from different databases, in testing the FAO/WHO allergenicity rules for new …
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OPIG is one of useful tools available for analyzing Antibody data and documented in research has expanded its range of tools for antibody/BCR analysis. Here is an updated summary of the OPIG antibody databases and immunoinformatics tools for 2021 NB: Several of our databases/tools [SAbDab, Thera-SAbDab, ABodyBuilder, PEARS, FREAD, Sphinx, ANARCI, Antibody iPatch, EpiPred, SCALOP, …
In May 2020, Group of students from Oxford university released the Coronavirus Antibody Database (‘CoV-AbDab’) to Manage and capture molecular information on existing coronavirus-binding antibodies, and to track what we anticipated would be a boon of data on antibodies able to bind SARS-CoV-2. At the time, They had found around 300 relevant antibody sequences and …
Continue reading “Coronavirus Antibody Database: Increasingly growth report”
This software Presented by “Bruna Moreira da Silva”, Epitope3D is an epitope prediction tool using graph-based signatures, developed at the “University of Melbourne“, which is an example of a structure-based approach to epitope prediction. It was developed and trained using a curated, non-redundant set of 200 antigen structures with marked epitopes. Individual residues, labeled according …
New immunoinformatics tools On the sequence-side by Dr Anton Feenstra presented that is a new solution called SeRenDIP-CE, a random forest method for predicting epitopes from sequence This method is based on deriving a range of features from the antigen amino-acid sequence (172 features across a sliding window of 9 amino acids, incorporating MSA-derived information) …