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Ancestral Reconstruction and the Evolution of Protein Energy Landscapes.
Chisholm, Lauren O; Orlandi, Kona N; Phillips, Sophia R; Shavlik, Michael J; Harms, Michael J.
Afiliación
  • Chisholm LO; Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon, USA; email: harms@uoregon.edu.
  • Orlandi KN; Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA.
  • Phillips SR; Institute of Molecular Biology, University of Oregon, Eugene, Oregon, USA.
  • Shavlik MJ; Department of Biology, University of Oregon, Eugene, Oregon, USA.
  • Harms MJ; Department of Chemistry and Biochemistry, University of Oregon, Eugene, Oregon, USA; email: harms@uoregon.edu.
Annu Rev Biophys ; 53(1): 127-146, 2024 Jul.
Article en En | MEDLINE | ID: mdl-38134334
ABSTRACT
A protein's sequence determines its conformational energy landscape. This, in turn, determines the protein's function. Understanding the evolution of new protein functions therefore requires understanding how mutations alter the protein energy landscape. Ancestral sequence reconstruction (ASR) has proven a valuable tool for tackling this problem. In ASR, one phylogenetically infers the sequences of ancient proteins, allowing characterization of their properties. When coupled to biophysical, biochemical, and functional characterization, ASR can reveal how historical mutations altered the energy landscape of ancient proteins, allowing the evolution of enzyme activity, altered conformations, binding specificity, oligomerization, and many other protein features. In this article, we review how ASR studies have been used to dissect the evolution of energy landscapes. We also discuss ASR studies that reveal how energy landscapes have shaped protein evolution. Finally, we propose that thinking about evolution from the perspective of an energy landscape can improve how we approach and interpret ASR studies.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas / Evolución Molecular Idioma: En Revista: Annu Rev Biophys Asunto de la revista: BIOFISICA Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Proteínas / Evolución Molecular Idioma: En Revista: Annu Rev Biophys Asunto de la revista: BIOFISICA Año: 2024 Tipo del documento: Article