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The VSL2 predictors are applicable to disordered regions of any length and can accurately identify the short disordered regions that are often misclassified by our previous disorder predictors. The success of the VSL2 predictors further confirmed the previously observed differences in amino acid compositions and sequence properties between short and long disordered regions, and justified our approaches for modelling short and long disordered regions separately. The VSL2 predictors are freely accessible for non-commercial use at http://www.ist.temple.edu/disprot/predictorVSL2.php.
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Peng et al. (Mon,) studied this question.
synapsesocial.com/papers/69cf95df5f9a713e45347e9e — DOI: https://doi.org/10.1186/1471-2105-7-208
Kang Peng
Central South University
Predrag Radivojac
Northeastern University
Slobodan Vučetić
Temple University
SHILAP Revista de lepidopterología
BMC Bioinformatics
Indiana University Bloomington
Indiana University – Purdue University Indianapolis
Temple University
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