Research Highlights

Dr. Avner Schlessinger
Ligand Discovery for the Alanine-Serine-Cysteine Transporter (ASCT2, SLC1A5) from Homology Modeling and Virtual Screening.
Colas C, Grewer C, Otte NJ, Gameiro A, Albers T, Singh K, Shere H, Bonomi M, Holst JSchlessinger A.
PLoS Comput Biol. 2015 Oct 7;11(10):e1004477.
Dr. Lakshmi Devi
Morphine Regulated Synaptic Networks Revealed by Integrated Proteomics and Network Analysis.
Stockton SD Jr, Gomes I, Liu T, Moraje C, Hipólito L, Jones MR, Ma'ayan A, Morón JA, Li H Devi LA..
Mol Cell Proteomics 2015 Oct;14(10):2564-76.
Dr. Ravi Iyengar
MEDICINE. Personalization in practice
Altman RB, Troyanskya O, FitzGerald GA. Iyengar R.
Science 2015 Oct 16;350(6258):282-3.

Drug Toxicity Signature Generation Center

The Drug Toxicity Signature Generation Center is a NIH-funded Systems Pharmacology research center at the Icahn School of Medicine. The proteomics experiments for the center are conducted at the Center for Advanced Proteomics, Rutgers-New Jersey Medical School. DToxS is part of the LINCS consortium of centers. LINCS (Library of Integrated Network-Based Cellular Signatures) is a program supported by the NIH Common Fund.

Many Experimental protocols for systems biology research are available here:


2015 Science Paper : Personalization in practice

Personalization in practice
Dynamic computational modeling integrated with
experimentation can enable precision medicine

Last month, an advisory committee released recommendations for recruitingat least 1 million individuals to participate in the U.S. National Institutes of Health’s Precision Medicine Initiative. This bold approach to disease treatment and prevention seeks to account for an individual’s genes, environment, and lifestyle to improve health outcomes. The ability to collect, integrate, analyze, and model relevant data streams is central to this effort. Moving beyond “just” massive data collection will require structured convergence among various disciplines. So, how should data be gathered? Here, computational modeling can be a useful guide. Modeling at the molecular, cellular, tissue, and organismal level will be essential to identify the molecular interactions that underlie progressive diseases and to generate a comprehensive and dynamic picture of the individual.