Kallyope
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.

Petascale parallel molecular dynamics for high-fidelity biomolecular simulations.
NAMD (Nanoscale Molecular Dynamics) is a high-performance parallel molecular dynamics code designed for the simulation of large biomolecular systems. Developed by the Theoretical and Computational Biophysics Group at the University of Illinois, NAMD is built on the Charm++ parallel programming model, which provides superior scalability and dynamic load balancing across thousands of processor cores. As of 2026, NAMD has maintained its market position as the gold standard for petascale simulations, often used in conjunction with VMD (Visual Molecular Dynamics) for analysis. Its architecture is specifically optimized for NVIDIA GPU clusters using CUDA, and it supports sophisticated simulation techniques including steered molecular dynamics (SMD), constant-pressure ensembles, and replica exchange. The 2026 technical landscape sees NAMD increasingly integrated with AI-driven force fields and machine learning potentials (such as DeepMD-kit), allowing researchers to bridge the gap between classical force fields and quantum mechanical accuracy. Its ability to handle systems exceeding 100 million atoms makes it indispensable for virology, structural biology, and materials science research.
Uses message-driven execution and migratable objects to provide dynamic load balancing across heterogeneous nodes.
Deciphering the gut-brain axis through AI-driven drug discovery for transformative therapeutics.
Accelerating drug discovery through an end-to-end generative AI pipeline for target identification, molecular design, and clinical trial prediction.
The industry-standard interactive visualization tool for integrated exploration of large-scale genomic datasets.
Unlocking the causal biology of disease through Gemini Digital Twins.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Offloads non-bonded force evaluations and PME calculations entirely to the GPU.
Built-in support for alchemical transformations to compute relative binding affinities.
Allows users to connect to a running simulation via VMD and apply forces in real-time.
Incorporates specialized potential energy maps (GridFORCE) to simulate complex environments.
Simultaneously runs multiple copies of a system at different temperatures or Hamiltonians.
Interfaces with quantum chemistry packages (ORCA, MOPAC) for localized electronic accuracy.
Predicting which chemical modification to a drug candidate will strongest bind to a target protein.
Registry Updated:2/7/2026
Understanding how environmental factors like pH or temperature affect viral integrity.
Determining the rate and mechanism of ion transport through cellular membranes.