The Multiscale Network Modeling Laboratory (MNML) at Mount Sinai

Department of Genetics and Genomics Science
Icahn Institute of Genomics and Multiscale Biology
Icahn School of Medicine at Mount Sinai

Dr. Zhang's Multiscale Network Modeling Laboratory (MNML) is focused on construction and characterization of multiscale biological networks from large-scale genomic, genetic, epigenetic, proteomic and clinical data. The fundamental goal of MNML's research is to not only identify novel pathways and driver genes for complex human diseases but also build up biologically plausible mechanistic models of diseases for subsequent experimental and clinical validations. MNML has developed and significantly contributed a series of influential gene network inference algorithms that have been extensively used for identification of novel pathways and gene targets, as well as development of drugs for complex human diseases such as cancer, atherosclerosis, Alzheimer's, obesity and diabetes. MNML's latest research that uncovered dramatic changes in gene-gene interaction patterns in Alzheimer's disease and pinpointed an immune/microglia gene network as the top pathway causally linked to the disease was just published in Cell. Dr. Zhang's recent research that sheds a new light on targeted therapies against breast cancer was featured in a press release by the AACR Basic Cancer Research conference in 2011. Dr. Zhang's work on predicting genetic interactions was identified by Nature Biotechnology as one of the breakthroughs in the field of computational biology in 2010. The discovery of a gene cluster that is causally linked to obesity and diabetes was highlighted in Nature in 2008.

Influenza Life Cycle

Multiscale Gene Networks of Alzheimer's Disease (Zhang B et al., Cell 153(3))