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Computational Biomedicine & Data Analytics

Xiaolin Cheng, PhD

Professor

Dr. Cheng’s laboratory aims to develop an interdisciplinary research program centered on Computer Aided Drug Design and Discovery. Closely collaborating with experimental chemists and biologists, our group utilizes a myriad of computational modeling & simulation, and data analytics techniques to understand molecular basis of drug action and to rationally design new drug molecules. Our group also has long-standing interests in: a) developing and applying multiscale computational techniques to investigate the structure, dynamics and function of complex biomolecular (and cellular ) systems; and b) bridge large-scale molecular simulation with systems biology (cellular metabolism and signaling networks) towards a new drug discovery paradigm.
Other research areas: Cancer, Infectious Diseases, Chemical Biology, Division of Medicinal Chemistry & Pharmacognosy
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Xiaolin Cheng

Kou-San Ju, PhD

Associate Professor

My interdisciplinary research program is inspired by the metabolic diversity of microorganisms and the vast array of compounds they produce. Working at the interface of chemistry and biology, my group combines approaches in chemistry, biochemistry, bioinformatics, genetics, and systems biology to discover new natural products, identify bioactivity and mode of action, and to decipher the metabolic basis of their biosynthesis. Ultimately, we seek to translate insights gained from our investigations into solutions for modern day challenges facing human health and the environment. These include new antibiotics to counter drug-resistant pathogens, novel herbicides and biocontrol agents to improve pest management and food security, and engineered biocatalysts to facilitate chemical production by green chemistry and industrial biotechnology.
Other research areas: Division of Medicinal Chemistry & Pharmacognosy, Central Nervous System Disorders, Infectious Diseases, Chemical Biology, Natural Products
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Kou-San Ju