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Updated: Mar 8, 2026

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SH2 Ligand Prediction-Guidance for In-Silico Screening
Shawn S C Li1,2, Lei Li3,4
1Department of Biochemistry, Schulich School of Medicine and Dentistry, Western University, London, ON, N6A 5C1, Canada. sli@uwo.ca.
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.
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