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

EnzyMiner: automatic identification of protein level mutations and their impact on target enzymes from PubMed abstracts.

BMC bioinformatics - 27 Aug 2009

Yeniterzi Süveyda, Sezerman Ugur

Abstract excerpt

BACKGROUND: A better understanding of the mechanisms of an enzyme's functionality and stability, as well as knowledge and impact of mutations is crucial for researchers working with enzymes. Though, several of the enzymes' databases are currently available, scientific literature still remains at large for up-to-date source of learning the effects of a mutation on an enzyme. However, going through vast amounts of...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Amylases
Share to Enzymes

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Information Storage and Retrieval

Share to Lipase

Share to Pattern Recognition, Automated

Share to PubMed

Share to Reproducibility of Results

Source

Open in PubMed Open full text

Identifiers

PMID: 19758466
DOI: 10.1186/1471-2105-10-S8-S2
PMCID: PMC2745584

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

EnzyMiner: automatic identification of protein level mutations and their impact on target enzymes from PubMed abstracts.PMID 19758466Read ↗

Automated extraction and semantic analysis of mutation impacts from the biomedical literature.Semantic proximity Read ↗

Identification of genomic features in the classification of loss- and gain-of-function mutation.Semantic proximity Read ↗

Extraction of human kinase mutations from literature, databases and genotyping studies.Semantic proximity Read ↗

Towards a systematic evaluation of protein mutation extraction systems.Semantic proximity Read ↗

DES-Mutation: System for Exploring Links of Mutations and Diseases.Semantic proximity Read ↗

MutationFinder: a high-performance system for extracting point mutation mentions from text.Semantic proximity Read ↗

Algorithms and semantic infrastructure for mutation impact extraction and grounding.Semantic proximity Read ↗

Triage of documents containing protein interactions affected by mutations using an NLP based machine learning approach.Semantic proximity Read ↗

Text mining for precision medicine: automating disease-mutation relationship extraction from biomedical literature.Semantic proximity Read ↗

Application of automatic mutation-gene pair extraction to diseases.Semantic proximity Read ↗

Mining cancer genomes for change-of-metabolic-function mutations.Semantic proximity Read ↗

Using Machine Learning for Predicting the Effect of Mutations in the Initiation Codon.Semantic proximity Read ↗

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