Literature DB >> 30299103

Mutational Basin-Hopping: Combined Structure and Sequence Optimization for Biomolecules.

Konstantin Röder1, David J Wales1.   

Abstract

The study of energy landscapes has led to a good understanding of how and why proteins and nucleic acids adopt their native structure. Through evolution, sequences have adapted until they exhibit a strongly funneled energy landscape, stabilizing the native fold. Design of artificial biomolecules faces the challenge of creating similar stable, minimally frustrated, and functional sequences. Here we present a biminimization approach, mutational basin-hopping, in which we simultaneously use global optimization to optimize the energy and a target function describing a desired property of the system. This optimization of structure and sequence is a generalized basin-hopping method and produces an efficient design process, which can target properties such as binding affinity or solubility.

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Year:  2018        PMID: 30299103     DOI: 10.1021/acs.jpclett.8b02839

Source DB:  PubMed          Journal:  J Phys Chem Lett        ISSN: 1948-7185            Impact factor:   6.475


  3 in total

Review 1.  Augmenting Basin-Hopping With Techniques From Unsupervised Machine Learning: Applications in Spectroscopy and Ion Mobility.

Authors:  Ce Zhou; Christian Ieritano; William Scott Hopkins
Journal:  Front Chem       Date:  2019-08-07       Impact factor: 5.221

2.  Systematic Comparison of Genetic Algorithm and Basin Hopping Approaches to the Global Optimization of Si(111) Surface Reconstructions.

Authors:  Maximilian N Bauer; Matt I J Probert; Chiara Panosetti
Journal:  J Phys Chem A       Date:  2022-05-06       Impact factor: 2.944

Review 3.  Deep learning approaches for conformational flexibility and switching properties in protein design.

Authors:  Lucas S P Rudden; Mahdi Hijazi; Patrick Barth
Journal:  Front Mol Biosci       Date:  2022-08-10
  3 in total

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