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

Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy Sequences

6 Jul 2015

Abstract excerpt

Computational protein design has found great success in engineering proteins for thermodynamic stability, binding specificity, or enzymatic activity in a 'single state' design (SSD) paradigm. Multi-specificity design (MSD), on the other hand, involves considering the stability of multiple protein states simultaneously. We have developed a novel MSD algorithm, which we refer to as REstrained CONvergence in...

Read the complete abstract on PubMed

Topics

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

Share to Monoclonal and Polyclonal Antibodies Research
Share to Protein Structure and Dynamics
Share to RNA and protein synthesis mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 26147100
DOI: 10.1371/journal.pcbi.1004300

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Design of Protein Multi-specificity Using an Independent Sequence Search Reduces the Barrier to Low Energy SequencesPMID 26147100Read ↗

A complete map of specificity encoding enables reprogramming of a protein interactionSemantic proximity Read ↗

De novo design of therapeutic scFvs and multi-specific engagers from sequence aloneSemantic proximity Read ↗

Robust de novo design of protein binding proteins from target structural information aloneSemantic proximity Read ↗

Deep mutational scanning reveals a de novo disulfide bond and combinatorial mutations for engineering thermostable myoglobin.Semantic proximity Read ↗

Deep Mutational Scanning Reveals a De Novo Disulfide Bond and Combinatorial Mutations for Engineering Thermostable MyoglobinSemantic proximity Read ↗

Multi‐constraint computational design suggests that native sequences of germline antibody H3 loops are nearly optimal for conformational flexibilitySemantic proximity Read ↗

Informed training set design enables efficient machine learning-assisted directed protein evolution.Semantic proximity Read ↗

The developing toolkit of continuous directed evolution.Semantic proximity Read ↗

De novo designed pMHC binders facilitate T cell induced killing of cancer cellsSemantic proximity Read ↗

Optimizing antibody affinity and stability by the automated design of the variable light-heavy chain interfacesSemantic proximity Read ↗

Synthesis cost-optimal targeted mutant protein libraries.Semantic proximity Read ↗

Global analysis of protein folding using massively parallel design, synthesis, and testing.Semantic proximity Read ↗

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