Work

Computational models from: Allele-specific activation, enzyme kinetics, and inhibitor sensitivities of EGFR exon 19 deletion mutations in lung cancer

Year: 2022

Type: dataset

Abstract: Computational models, compressed molecular dynamics (MD) simulation trajectories, and sample input files for "Allele-specific activation, enzyme kinetics, and inhibitor sensitivities of EGFR exon 19 deletion mutations in lung cancer". An early version of this manuscript is available as a preprint here: https://www.biorxiv.org/content/10.1101/2022.03.16.484661v1

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.6604136

Authors: Brown, Benjamin P., Yun-Kai Zhang, Soyeon Kim, Finneran, Patrick, Yingjun Yan, Zhenfang Du, Jiyoon Kim, Hartzler, Abigail Leigh, LeNoue-Newton, Michele L, Smith, Adam W., Meiler, Jens, Lovly, Christine M.

Institutions: Vanderbilt University, Vanderbilt University Medical Center, University of Akron

Language: English

Topic: Lung Cancer Treatments and Mutations

Subfield: Pulmonary and Respiratory Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: green

OpenAlex ID: W4393478555

Cites:

Cited by:

Related to: 10