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

Network Analysis of Sequence-Function Relationships and Exploration of Sequence Space of TEM β-Lactamases.

Antimicrobial agents and chemotherapy - 1 May 2016

Zeil Catharina, Widmann Michael, Fademrecht Silvia, Vogel Constantin, Pleiss Jürgen

Abstract excerpt

The Lactamase Engineering Database (www.LacED.uni-stuttgart.de) was developed to facilitate the classification and analysis of TEM β-lactamases. The current version contains 474 TEM variants. Two hundred fifty-nine variants form a large scale-free network of highly connected point mutants. The network was divided into three subnetworks which were enriched by single phenotypes: one network with predominantly 2be...

Read the complete abstract on PubMed

Topics

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

Share to beta-Lactamases
Share to Models, Theoretical

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Mutation

Source

Open in PubMed Open full text

Identifiers

PMID: 26883706
DOI: 10.1128/AAC.02930-15
PMCID: PMC4862526

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

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

Network Analysis of Sequence-Function Relationships and Exploration of Sequence Space of TEM β-Lactamases.PMID 26883706Read ↗

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

The Lactamase Engineering Database: a critical survey of TEM sequences in public databases.Semantic proximity Read ↗

Network models of TEM β-lactamase mutations coevolving under antibiotic selection show modular structure and anticipate evolutionary trajectories.Semantic proximity Read ↗

Of woods and webs: possible alternatives to the tree of life for studying genomic fluidity in E. coli.Semantic proximity Read ↗

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

Unveiling the evolution routes of TEM-type extended-spectrum β-lactamases.Semantic proximity Read ↗

Single nucleotide variation catalog from clinical isolates mapped on tertiary and quaternary structures of ESX-1-related proteins reveals critical regions as putative Mtb therapeutic targets.Semantic proximity Read ↗

Exploring the coupling of dynamic residues in TEM-1 β-lactamase and their role in activity.Semantic proximity Read ↗

Simultaneous enhancement of multiple functional properties using evolution-informed protein design.Semantic proximity Read ↗

The scale-free nature of protein sequence space.Semantic proximity Read ↗

Mutation clusters offer insight into predicting pathogenicity.Semantic proximity Read ↗

Survey of Protein Sequence Embedding ModelsSemantic proximity Read ↗

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