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

An Eigen-Binding Site Based Method for the Analysis of Anti-EGFR Drug Resistance in Lung Cancer Treatment.

IEEE/ACM transactions on computational biology and bioinformatics - 1 Jan 2000

Ma Lichun, Wang Debby D, Zou Bin, Yan Hong

Abstract excerpt

We explore the drug resistance mechanism in non-small cell lung cancer treatment by characterizing the drug-binding site of a protein mutant based on local surface and energy features. These features are transformed to an eigen-binding site space and used for drug resistance level prediction and analysis.

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Antineoplastic Agents
Share to Carcinoma, Non-Small-Cell Lung

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Drug Resistance, Neoplasm

Share to ErbB Receptors

Share to Lung Neoplasms

Share to Molecular Dynamics Simulation

Share to Protein Kinase Inhibitors

Source

Identifiers

PMID: 27187970
DOI: 10.1109/TCBB.2016.2568184

Genes

EGFR

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

An Eigen-Binding Site Based Method for the Analysis of Anti-EGFR Drug Resistance in Lung Cancer Treatment.PMID 27187970Read ↗

Personalized prediction of EGFR mutation-induced drug resistance in lung cancer.Semantic proximity Read ↗

Computational Methods for the Analysis and Prediction of EGFR-Mutated Lung Cancer Drug Resistance: Recent Advances in Drug Design, Challenges and Future Prospects.Semantic proximity Read ↗

Decoding the EGFR mutation-induced drug resistance in lung cancer treatment by local surface geometric properties.Semantic proximity Read ↗

Visualization of Protein-Drug Interactions for the Analysis of Drug Resistance in Lung Cancer.Semantic proximity Read ↗

Computational platform for modelling, analysis, and prediction of anti-EGFR drug resistance for lung cancer.Semantic proximity Read ↗

Machine learning based personalized drug response prediction for lung cancer patients.Semantic proximity Read ↗

Revealing acquired resistance mechanisms of kinase-targeted drugs using an on-the-fly, function-site interaction fingerprint approachSemantic proximity Read ↗

Prediction of sensitivity to gefitinib/erlotinib for EGFR mutations in NSCLC based on structural interaction fingerprints and multilinear principal component analysis.Semantic proximity Read ↗

Computational Prediction of Resistance Induced Alanine-Mutation in ATP Site of Epidermal Growth Factor Receptor.Semantic proximity Read ↗

Protein Language Model-Based Fitness Estimates Facilitate Resistance Mutation Identification.Semantic proximity Read ↗

Structure and energy based quantitative missense variant effect analysis provides insights into drug resistance mechanisms of anaplastic lymphoma kinase mutationsSemantic proximity Read ↗

Prediction Of The Impact Of Genetic Variability On Drug Sensitivity For Clinically Relevant EGFR MutationsSemantic proximity Read ↗

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