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R. Prabakaran, Puneet Rawat, Sandeep Kumar, and M. Michael Gromiha*, Evaluation of in silico tools for the prediction of protein and peptide aggregation on diverse datasets, Briefings in Bioinformatics, 2021 (in press);

Datasets

  • Hex1421 : 512 amyloidogenic and 909 non-amyloidogenic hexapeptide sequences

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  • Hex31 : 25 amyloidogenic and 6 non-amyloidogenic hexapeptide sequences

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  • Amyl37 : 37 amyloidogenic protein sequences with residue-level APR annotations

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  • IAPP8 : Amyloidogenicity of homologous sequences of IAPP protein from 8 different species

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  • ALBase678 : 678 sequences of immunoglobulin light chain variable regions along with their association with Amyloidosis

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  • Fold-Agg77 : A dataset of 46 proteins, whose folding kinetics have been well-studied experimentally and 31 aggregating protein sequences

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  • Sol2151 : A dataset of 1077 and 1074 soluble and insoluble E.coli protein sequences, respectively

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Please refer the article for references to original sources.