Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Simultaneous enhancement of multiple functional properties using evolution-informed protein design.

Nature communications - 20 Jun 2024

Fram Benjamin, Su Yang, Truebridge Ian, Riesselman Adam J, Ingraham John B, Passera Alessandro, Napier Eve, Thadani Nicole N, Lim Samuel, Roberts Kristen, Kaur Gurleen, Stiffler Michael A, Marks Debora S, Bahl Christopher D, Khan Amir R, Sander Chris, Gauthier Nicholas P

Abstract excerpt

A major challenge in protein design is to augment existing functional proteins with multiple property enhancements. Altering several properties likely necessitates numerous primary sequence changes, and novel methods are needed to accurately predict combinations of mutations that maintain or enhance function. Models of sequence co-variation (e.g., EVcouplings), which leverage extensive information about various...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Amino Acid Sequence
Share to beta-Lactamases

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Enzyme Stability

Share to Evolution, Molecular

Share to Models, Molecular

Share to Mutation

Share to Protein Conformation

Share to Protein Engineering

Source

Open in PubMed Open full text

Identifiers

PMID: 38902262
DOI: 10.1038/s41467-024-49119-x
PMCID: PMC11190266

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Simultaneous enhancement of multiple functional properties using evolution-informed protein design.PMID 38902262Read ↗

In vivo functional phenotypes from a computational epistatic model of evolution.Semantic proximity Read ↗

ECNet is an evolutionary context-integrated deep learning framework for protein engineering.Semantic proximity Read ↗

GArNet: A Genetic Algorithm-Based Protein Redesign Approach to Optimize Mutation Combinations Informed by Network Theory.Semantic proximity Read ↗

Rapid directed evolution guided by protein language models and epistatic interactions.Semantic proximity Read ↗

Protein design using structure-based residue preferences.Semantic proximity Read ↗

Sequence-function-stability relationships in proteins from datasets of functionally annotated variants: the case of TEM β-lactamases.Semantic proximity Read ↗

Understanding epistatic networks in the B1 β-lactamases through coevolutionary statistical modeling and deep mutational scanning.Semantic proximity Read ↗

Using Evolution to Guide Protein Engineering: The Devil IS in the Details.Semantic proximity Read ↗

Protein multi-level structure feature-integrated deep learning method for mutational effect prediction.Semantic proximity Read ↗

Learning protein fitness landscapes with deep mutational scanning data from multiple sources.Semantic proximity Read ↗

Enzyme activity engineering based on sequence co-evolution analysis.Semantic proximity Read ↗

Allosteric and Energetic Remodeling by Protein Domain ExtensionsSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.