4.7 Article

MIB2: metal ion-binding site prediction and modeling server

Journal

BIOINFORMATICS
Volume 38, Issue 18, Pages 4428-4429

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btac534

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Funding

  1. China Medical University, Taiwan [CMU110-ASIA-07]

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MIB2 is an improved structure prediction method with higher accuracy and more metal ion types. It utilizes multiple prediction techniques and templates to predict protein structures and metal ion binding sites.
Motivation: MIB2 (metal ion-binding) attempts to overcome the limitation of structure-based prediction approaches, with many proteins lacking a solved structure. MIB2 also offers more accurate prediction performance and more metal ion types. Results: MIB2 utilizes both the (PS)(2) method and the AlphaFold Protein Structure Database to acquire predicted structures to perform metal ion docking and predict binding residues. MIB2 offers marked improvements over MIB by collecting more MIB residue templates and using the metal ion type-specific scoring function. It offers a total of 18 types of metal ions for binding site predictions.

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