ReviewAnnual review of biophysics2017
Biophysical Models of Protein Evolution: Understanding the Patterns of Evolutionary Sequence Divergence.
Review in Annual review of biophysics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.
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Who cites it
75 citing papers in PubMed.
- A deep learning-based score to evaluate multiple sequence alignments.Molecular biology and evolution · 2026Article
- Why structural divergence varies among residues in enzyme evolution: contributions of mutation, stability, and activity constraints.Molecular biology and evolution · 2026Article
- In Silico Saturation-Mutagenesis-Based Genomic Mutation Risk Assessment for Enterovirus B.Viruses · 2026Article
- The evolutionary dynamics between viral mimics and host proteins.Molecular systems biology · 2026Article
- Multiple molecular and cellular properties jointly affect protein and site-specific evolutionary rates.bioRxiv : the preprint server for biology · 2026Article
- Environmental and mutational modulation of collateral fitness effects informs their mechanisms.Molecular biology and evolution · 2026Article
- Adaptive signatures in Vietnamese chickens reveal a Southeast Asian reservoir for climate resilience and meat quality.Poultry science · 2026Article
- Deconvolving mutation effects on protein stability and function with disentangled protein language models.bioRxiv : the preprint server for biology · 2026Article
- Functional and Structural Determinants of Long- and Short-Term Evolution of Herpesvirus Proteins.Molecular biology and evolution · 2025Article
- Article
- Pervasive Divergence in Protein Thermostability is Mediated by Both Structural Changes and Cellular Environments.Molecular biology and evolution · 2025Article
- Repeatability of evolution and genomic predictions of temperature adaptation in seed beetles.Nature ecology & evolution · 2025Article
- Genes Encoding Intracellular Signaling Proteins in Animals Originated Along with Metazoa and Chordata: Chance or Necessity?Genome biology and evolution · 2025Article
- QAFI: a novel method for quantitative estimation of missense variant impact using protein-specific predictors and ensemble learning.Human genetics · 2025Article
- Life-history adaptation under climate warming magnifies the agricultural footprint of a cosmopolitan insect pest.Nature communications · 2025Article
- Structure-based self-supervised learning enables ultrafast protein stability prediction upon mutation.Innovation (Cambridge (Mass.)) · 2025Article
- Combining evolution and protein language models for an interpretable cancer driver mutation prediction with D2Deep.Briefings in bioinformatics · 2024Article
- Deep mutational scanning reveals functional constraints and antibody-escape potential of Lassa virus glycoprotein complex.Immunity · 2024Article
- Zero-shot prediction of mutation effects with multimodal deep representation learning guides protein engineering.Cell research · 2024Article
- Modulation of biophysical properties of nucleocapsid protein in the mutant spectrum of SARS-CoV-2.eLife · 2024Article
15 more citing papers are in PubMed but not listed here.
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2 authors.
Funding
Abstract
For decades, rates of protein evolution have been interpreted in terms of the vague concept of functional importance. Slowly evolving proteins or sites within proteins were assumed to be more functionally important and thus subject to stronger selection pressure. More recently, biophysical models of protein evolution, which combine evolutionary theory with protein biophysics, have completely revolutionized our view of the forces that shape sequence divergence. Slowly evolving proteins have been found to evolve slowly because of selection against toxic misfolding and misinteractions, linking their rate of evolution primarily to their abundance. Similarly, most slowly evolving sites in proteins are not directly involved in function, but mutating these sites has a large impact on protein structure and stability. In this article, we review the studies in the emerging field of biophysical protein evolution that have shaped our current understanding of sequence divergence patterns. We also propose future research directions to develop this nascent field.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.