Prediction of zinc binding sites in proteins using sequence derived information

Volume: 36, Issue: 16, Pages: 4413 - 4423
Published: Jan 15, 2018
Abstract
Zinc is one the most abundant catalytic cofactor and also an important structural component of a large number of metallo-proteins. Hence prediction of zinc metal binding sites in proteins can be a significant step in annotation of molecular function of a large number of proteins. Majority of existing methods for zinc-binding site predictions are based on a data-set of proteins, which has been compiled nearly a decade ago. Hence there is a need...
Paper Details
Title
Prediction of zinc binding sites in proteins using sequence derived information
Published Date
Jan 15, 2018
Volume
36
Issue
16
Pages
4413 - 4423
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