ESMFold2Biohub
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About
ESMFold2 is the successor to ESMFold, setting a new state of the art for single-sequence structure prediction and enabling the generation of new functional proteins through searching the ESMC model’s latent space. The model predicts high-resolution, all-atom 3D structures of biomolecular complexes directly from sequence, with optional multiple sequence alignment input for enhanced accuracy on challenging targets. It is designed for structure prediction using sequence and structure modalities, with ESM representations powering a series of looped folding layers and a diffusion model projecting pairwise representations to atomic-resolution predictions. ESMFold2 predicts protein structures directly from amino acid sequences and outputs comprehensive structural information, including all-atom coordinates for backbone and side chains, confidence metrics, and optional distogram predictions for detailed structural analysis.
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About
LAMMPS, the Large-scale Atomic/Molecular Massively Parallel Simulator, is a classical molecular dynamics code with a focus on materials modeling. It models ensembles of particles in liquid, solid, or gaseous states and can simulate atomic, polymeric, biological, solid-state, granular, coarse-grained, mesoscopic, or macroscopic systems using many interatomic potentials, force fields, and boundary conditions. LAMMPS can model systems in two or three dimensions, from only a few particles up to billions, and is designed to run efficiently on parallel computers while remaining easy to extend and modify. It includes potentials for solid-state materials such as metals and semiconductors, soft matter such as biomolecules and polymers, and coarse-grained or mesoscopic systems. It can be used to model atoms or, more generally, as a parallel particle simulator at atomic, meso, or continuum scale.
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Structural biology researchers who need fast, high-resolution protein structure prediction from sequence for analysis, exploration, and experimental planning
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Audience
Computational materials scientists wanting a parallel simulator for molecular dynamics, particle systems, and multiscale materials researc
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
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Pricing
Free
Free Version
Free Trial
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Pricing
Free
Free Version
Free Trial
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationBiohub
Founded: 2016
United States
biohub.ai/models/esmfold2
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Company InformationLAMMPS
United States
www.lammps.org
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Integrations
Biohub
Python
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