Institute for Quantitative Biomedicine (IQB)

The IQB brings basic and applied researchers together with clinicians pursuing grand challenges in biomedical research using quantitative tools of measurement and analysis from chemistry, computer science, engineering, mathematics, physics, and statistics.

The Institute is also the home to an interdisciplinary graduate program committed to training the next generation of researchers expert in the quantitative sciences for productive and rewarding careers at the interface with biology and medicine.

Research

News and Announcements

IQB is hiring for a Unit Computing Manager!

Additional details for the job posting and application process can be found here.

Jennifer Jiang receiving the IQB inclusive leadership award

Graduate student Jennifer Jiang has been awarded the IQB Inclusive Leadership Award in recognition of her outstanding achievements. More information on the award and Jennifer's achievements can be found at https://iqb.rutgers.edu/inclusiveleadershipaward

IQB Spring 2023 Seminar Series Announced

IQB is excited to announce another great lineup for next semester's seminar series! Speaker and seminar information can be found at https://iqb.rutgers.edu/seminars

Congratulations to Dr. Burley and the RCSB PDB team on receiving $800,000 from the NIH for the project titled: “Scaling of RCSB PDB RCSB.org Web Portal Backend and Frontend Services”

The goal of this award is to scale RCSB PDB research-focused RCSB.org web portal Backend and Frontend Services by two orders of magnitude for delivery of ~200 million Computed Structure Models from AlphaFoldDB and the ModelArchive alongside all of the experimentally-determined structures stored in the PDB for the benefit of many millions of RCSB.org users, 99% of whom are not structural biologists.

Quantitative Biomedicine Professors Receive Competitive NSF Grant

We are proud to announce, a team led by IQB resident member and graduate program director Dr. Sagar Khare with co-PIs Dr. Sijian Wang, Dr. Adam Gormley, Dr. Jean Baum, and Dr. Guillaume Lamoureux has been awarded the National Science Foundation (NSF) Molecular Foundations of Biotechnology grant for development of novel machine learning approaches for protein design. The grant has been approved for funding of $1.5 million over the span of three years. The NSF typically awards only 6 such "high-risk high-reward" grants every annual funding cycle.

Congratulations to Dr. Lu Wang

Please join us in congratulating Dr. Lu Wang on her promotion from Assistant Professor to Associate Professor in the Department of Chemistry and Chemical Biology. Lu started her independent career at Rutgers University in January 2016. Her research group uses theoretical and computational tools to study chemical and biological systems in the condensed phase. In particular, her group has been designing theoretical methods to model the linear and multidimensional vibrational spectroscopy of nucleic acids, and implementing state-of-the-art first principles simulations to reveal the quantum nature of hydrogen bonds in proteins. We look forward to seeing Dr. Wang succeed in her new role.

Development of New Courses

New crash courses, mini-courses, and full courses designed to provide the Rutgers community with key educational offerings are in development. Please contact us  with topic or lecturer suggestions.

Recent events included a Crash Course on DOE Knowledge-base/RCSB Protein Data Bank (DOE/KBase/RCSB PDB) Virtual Crash Course, Exploring Computed Structure Models from Artificial Intelligence/Machine Learning at RCSB.org, Intrinsically Disordered Biological Macromolecules in Cellular Signaling/Regulation, Python Scripting for Biochemistry & Molecular Biology, Enabling Protein Structure Prediction with Artificial Intelligence at Rutgers and Beyond, Applying Genomics/Proteomics Technologies to Problems in Oncology, Structural Biology of SARS-CoV-2 and the COVID-19 Pandemic, and the Interdisciplinary Quantitative Biology Winter Boot Camp: Winter 2021 - Science Communication in Biology and Medicine.

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