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. 2017:1555:77-81.
doi: 10.1007/978-1-4939-6762-9_5.

SH2 Ligand Prediction-Guidance for In-Silico Screening

Shawn S C Li  1   2 , Lei Li  3   4
Affiliations

SH2 Ligand Prediction-Guidance for In-Silico Screening

Shawn S C Li et al. Methods Mol Biol. 2017.

Abstract

Systematic identification of binding partners for SH2 domains is important for understanding the biological function of the corresponding SH2 domain-containing proteins. Here, we describe two different web-accessible computer programs, SMALI and DomPep, for predicting binding ligands for SH2 domains. The former was developed using a Scoring Matrix method and the latter based on the Support Vector Machine model.

Keywords: DomPep; Ligand prediction; SH2; SH2-peptide interactions; SMALI.

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