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

PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments.

Bioinformatics (Oxford, England) - 15 Jan 2012

Jones David T, Buchan Daniel W A, Cozzetto Domenico, Pontil Massimiliano

Abstract excerpt

MOTIVATION: The accurate prediction of residue-residue contacts, critical for maintaining the native fold of a protein, remains an open problem in the field of structural bioinformatics. Interest in this long-standing problem has increased recently with algorithmic improvements and the rapid grow...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Bayes Theorem
Share to Mutation

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Phylogeny

Share to Proteins

Share to Sequence Alignment

Source

Identifiers

PMID: 22101153
DOI: 10.1093/bioinformatics/btr638

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 4 Sept 2026. Prepared record publication-22101153-2026-09-04.2. Manifest publication-graph-cohort-2026-09-04.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 4 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

PSICOV: precise structural contact prediction using sparse inverse covariance estimation on large multiple sequence alignments.PMID 22101153Read ↗

CCMpred--fast and precise prediction of protein residue-residue contacts from correlated mutations.Semantic proximity Read ↗

Assessing the accuracy of direct-coupling analysis for RNA contact prediction.Semantic proximity Read ↗

Forecasting residue-residue contact prediction accuracy.Semantic proximity Read ↗

Contact prediction using mutual information and neural nets.Semantic proximity Read ↗

BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.Semantic proximity Read ↗

Predicting protein β-sheet contacts using a maximum entropy-based correlated mutation measure.Semantic proximity Read ↗

Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.Semantic proximity Read ↗

R2C: improving ab initio residue contact map prediction using dynamic fusion strategy and Gaussian noise filter.Semantic proximity Read ↗

Improving protein-protein interaction prediction using evolutionary information from low-quality MSAs.Semantic proximity Read ↗

ESMDynamic: Fast and Accurate Prediction of Protein Dynamic Contact Maps from Single SequencesSemantic proximity Read ↗

Correlated mutations and residue contacts in proteins.Semantic proximity Read ↗

Protein 3D structure computed from evolutionary sequence variation.Semantic proximity Read ↗

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