Quantitative Kinetic Models in Biology

Karr Lab

Dept. Genetics & Genomic Sciences

Icahn School of Medicine at Mt. Sinai


john dot sekar at mssm dot edu

johnsekar at pitt dot edu

johnarul dot sekar at gmail dot com

Research Interests
  • Quantitative kinetic models in biology

  • Rule-based model specification

  • Optimizing uncertain model parameters and hypotheses

Publication Highlights

Automated Visualization of Rule-based Models.

John A. P. Sekar, Jose-Juan Tapia, James R. Faeder

PLoS Comput. Biol. 2016 (under review)

doi:  10.1101/074138

BioNetGen 2.2: Advances in Rule-based Modeling.

Leonard A. Harris, Justin S. Hogg, Jose-Juan Tapia, John A. P. Sekar, Sanjana Gupta, Ilya Korsunsky, Arshi Arora, Dipak Barua, Robert P. Sheehan, 

James R. Faeder

Bioinformatics. 2015

doi: 10.1093/bioinformatics/btw469

Rule-based Modeling of Cell Signaling: Advances in Model Construction, Visualization and Simulation.

John A.P. Sekar

Doctoral Dissertation. University of Pittsburgh 2015

d-scholarship.pitt.edu/26674

Rule-based Modeling of Signal Transduction: a Primer.

John A. P. Sekar, James R. Faeder

Methods Mol Biol. 2012; 880: 139–218. 

PMID: 23361986

Links
Education

Ph. D. 2015

Computational & Systems Biology

University of Pittsburgh

Pittsburgh, USA

 

B.Tech. 2007

Industrial Biotechnology

Anna University

Chennai, India