ColabFold predicts alternative protein structures from single sequences, coevolution unnecessary for AF-cluster
Lauren L Porter1,2, Devlina Chakravarty1, Joseph W Schafer1
1National Center for Biotechnology Information, National Library of Medicine, National Institutes of Health, Bethesda, MD 20894.
Biorxiv : the Preprint Server for Biology
|December 11, 2023
Summary
AF-cluster can predict protein structures without clustering multiple sequence alignments. Alternative protein structures are predictable from single sequences, challenging the necessity of coevolutionary data.
Area of Science:
- Structural biology
- Bioinformatics
Background:
- Globular proteins are dynamic and can adopt multiple functional structures.
- Predicting these alternative protein conformations is crucial for understanding protein function.
Approach:
- The AF-cluster method was developed to predict alternative protein structures using ColabFold.
- AF-cluster utilizes clustered multiple sequence alignments (MSAs) to deconvolve coevolutionary information for different conformations.
Key Points:
- The study challenges the necessity of clustered MSAs for predicting alternative protein structures.
- Alternative conformations can be predicted using single sequences or sequence similarity alone.
- Coevolutionary information may not be essential for the predictive success of AF-cluster.
Conclusions:
- The predictive power of AF-cluster may be confined to sequences with homologous structures present in ColabFold's training data.
- This finding suggests a re-evaluation of the role of coevolutionary data in protein structure prediction.
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