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

A resource for improved predictions of Trypanosoma and Leishmania protein three-dimensional structure

11 Nov 2021

Abstract excerpt

AlphaFold2 and RoseTTAfold represent a transformative advance for predicting protein structure. They are able to make very high-quality predictions given a high-quality alignment of the protein sequence with related proteins. These predictions are now readily available via the AlphaFold database of predicted structures and AlphaFold or RoseTTAfold Colaboratory notebooks for custom predictions. However,...

Read the complete abstract on PubMed

Topics

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

Share to Enzyme Structure and Function
Share to Protein Structure and Dynamics
Share to Trypanosoma species research and implications

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 34762696
DOI: 10.1371/journal.pone.0259871

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

A resource for improved predictions of Trypanosoma and Leishmania protein three-dimensional structurePMID 34762696Read ↗

A resource for improved predictions of <i>Trypanosoma</i> and <i>Leishmania</i> protein three-dimensional structureSemantic proximity Read ↗

Expanding kinetoplastid genome annotation through protein structure comparisonSemantic proximity Read ↗

The Use of AlphaFold for In Silico Exploration of Drug Targets in the Parasite Trypanosoma cruziSemantic proximity Read ↗

Viro3D: a comprehensive database of virus protein structure predictionsSemantic proximity Read ↗

Comprehensive collection and prediction of ABC transmembrane protein structures in the AI era of structural biologySemantic proximity Read ↗

Comprehensive Collection and Prediction of ABC Transmembrane Protein Structures in the AI Era of Structural BiologySemantic proximity Read ↗

Practical outcomes from CASP16 for users in need of biomolecular structure predictionSemantic proximity Read ↗

Testing the reliability of AI-generated protein structuresSemantic proximity Read ↗

Structural modelling and comparative analysis of homologous, analogous and specific proteins from Trypanosoma cruzi versus Homo sapiens: putative drug targets for chagas' disease treatmentSemantic proximity Read ↗

18S rDNA Sequence-Structure Phylogeny of The Trypanosomatida (Kinetoplastea, Euglenozoa) with Special Reference on TrypanosomaSemantic proximity Read ↗

AI-based protein structure databases have the potential to accelerate rare diseases research: AlphaFoldDB and the case of IAHSP/AlsinSemantic proximity Read ↗

Functional annotation hypothetical proteins: a world to be explored in drug development in TrypanosomatidsSemantic proximity Read ↗

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