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Northeastern University

Simulating Large Biomolecular Assemblies

Northeastern’s Prof Paul Whitford uses high performance computing to study the dynamics of biological systems to understand the physical principles that govern the dynamics of cells.
The Whitford group develops and applies a broad range of simulation stategies to study complex biomolecular assemblies, such as the ribosome and viruses. By integrating numerous tools, these studies aim to reveal how specific intermolecular interactions give rise to biological dynamics and disease.
https://web.northeastern.edu/whitford/
Paul Whitford
Professor Whitford received his graduate training in the Center for Theoretical Biological Physics at UC San Diego. He was then a Director's Postdoctoral fellow at Los Alamos, where he applied HPC to study biomolecular dynamics. At NU, his group has become well known for their studies of the ribosome and other molecular assemblies.

Consortium

Featured projects

Knowledge Base
SC22 Project
Climate Health and Air Pollution in India
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NASA Arctic-Boreal Vulnerability Experiment (ABoVE)
Holyoke Codes: Broadening Participation in Computer Science Education
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AI Computing and the AI Jumpstart Cluster
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AI for Dementia Assessment
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Measuring Nationwide Park Access
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Quantifying Risk, Resilience, and Uncertainty with Machine Learning and HPC
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Refugee Migration and Return on Social Media
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Modeling Molecular Dynamics for Drug Delivery
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SC22 Student Cluster Competition
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Expanding Computing Education Pathways (ECEP) Alliance
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Machine Learning and Wastewater
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Exploring the Earth Using Seismology
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Candidate Driver Analysis of Multi-omics Data (CaDrA)
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OpenCilk
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Wearable Health Technology
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Deepfake Caricatures
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Invisible Tags
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ElectroVoxels: Modular Self-reconfigurable Robots
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Color Changing Objects
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The Mass Open Cloud Alliance (MOC Alliance)
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Open Cloud Testbed (OCT)
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Ecosystem for Research Networking (ERN)
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Open Storage Network (OSN)
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ACCESS Support (MATCH)
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ConnectCI
Ask.CI
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The UMass-URI Gravity Research Consortium (U2GRC)
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Billion Object Platform
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Predicting Kinetic Solvent Effects
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The Rhode Island Coastal Hazards Analysis, Modeling, and Prediction System (RICHAMP)
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Predicting Reaction Barrier Heights
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Aviation Weather Decision Support Laboratory Tour
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Sensorimotor Technology Realization in Immersive Virtual Environments (STRIVE)
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Conclave Cloud Dataverse: Protected Computing in the Datacenter
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Large-Scale Brain Mapping
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AI for HPC Analytics
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Offshore Precipitation Capability (OPC) System
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The Forensic Video Exploitation and Analysis (FOVEA) Tool Suite
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Next Generation Aircraft Collision Avoidance System ACAS X
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Learning-Task Informed Abstractions
Migration of Path Integral Quantum Monte Carlo Software
Tackling COVID-19 with Distributed Computing and Citizen Science
Exploring Shared Memory Multi-GPU Computing
Developing Computer Vision Capabilities for Disaster Response
VEIA: In Depth
Detecting Horizontal Gene Transfer
Development of an Automated High-Throughput Animal Training Platform
Research Software Engineering at Harvard University
Research Software Engineering
Tuning R Code to Unleash Performance
Hyperspectral Workflow
Art through Machine Learning
Managing HPC Power Use
LLSC Articles and Publications
GLEAM: Global Epidemic and Mobility project
Software for Unreliable Quantum Computers
FlyNet
Understanding Fungal Pathogenicity through Genomics
Data Centric Low Emission Mobility
MIT Laboratory for Financial Engineering
Air Force Arcade
VEIA: An Overview
Simulating Large Biomolecular Assemblies
Lichtman Lab - Center for Brain Science
Black Hole Initiative
Airborne Optical Systems Test Bed (AOSTB)
MIT Initiative on the Digital Economy
Low Altitude Disaster Imagery (LADI) Dataset
Fast Accurate NURBS Optimization (FANO)
Colosseum
Lincoln Laboratory Supercomputing Center (LLSC)
Center for Scientific Computing and Data Science (CSCDR)
Foldit
The Center for Information and Systems Engineering (CISE)
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