What is it about?

Correctly locating ATP binding sites from protein information is an important but challenging task for protein function annotation and drug discovery. Here, we report a new composite predictor, ATPbind, for predicting ATP binding sites.

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Why is it important?

Starting from a query sequence and predicted I-TASSER models, ATPbind can achieve an average accuracy of 72%, covering 62% of all ATP binding sites while achieving a Matthews correlation coefficient value that is significantly higher than that of other state-of-the-art predictors.

Perspectives

Correctly locating ATP binding sites from protein information is an important but challenging task for protein function annotation and drug discovery. ATPbind is one of the best protein-ATP binding site predictors.

Dr. Jun Hu

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This page is a summary of: ATPbind: Accurate Protein–ATP Binding Site Prediction by Combining Sequence-Profiling and Structure-Based Comparisons, Journal of Chemical Information and Modeling, February 2018, American Chemical Society (ACS),
DOI: 10.1021/acs.jcim.7b00397.
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