Acellera
@acellera.com
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AI-Driven Drug Engineering: Building a discovery factory. www.acellera.com
reposted by
Acellera
Gianni De Fabritiis
21 days ago
Preprint release š of "Speak to a Protein," an AI co-scientist that facilitates data gathering and analysis in an interactive collaborative session. It is quite amazing to use. Preprint:
arxiv.org/abs/2510.17826
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Acellera
Weāre announcing the publication of our latest research on a universal, machine-learned coarse-grained protein force field:
www.nature.com/articles/s41...
The approach demonstrates chemical transferability on diverse proteins, predicting metastable states, and relative folding free energies.
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Navigating protein landscapes with a machine-learned transferable coarse-grained model - Nature Chemistry
The development of a universal protein coarse-grained model has been a long-standing challenge. A coarse-grained model with chemical transferability has now been developed by combining deep-learning m...
https://www.nature.com/articles/s41557-025-01874-0
4 months ago
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Weāre announcing the publication of our latest research on a universal, machine-learned coarse-grained protein force field:
www.nature.com/articles/s41...
The approach demonstrates chemical transferability on diverse proteins, predicting metastable states, and relative folding free energies.
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Navigating protein landscapes with a machine-learned transferable coarse-grained model - Nature Chemistry
The development of a universal protein coarse-grained model has been a long-standing challenge. A coarse-grained model with chemical transferability has now been developed by combining deep-learning m...
https://www.nature.com/articles/s41557-025-01874-0
4 months ago
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Acellera Therapeutics and Psivant Therapeutics to collaborate on transformative computational drug discovery, leveraging AI, quantum simulations, and physics-based methods to accelerate small molecule design. Learn more:
www.acellera.com/blog/aceller...
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Acellera and Psivant Collaborate to Develop Transformative Computational Drug Discovery Approaches Using AI and Quantum Simulations - Acellera Blog
https://www.acellera.com/blog/acellera-and-psivant-collaborate-to-develop-transformative-computational-drug-discovery-approaches-using-ai-and-quantum-simulations
10 months ago
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AceForce 1.0 isnāt just for RBFE calculationsāitās also enabling advanced protein-ligand simulations using NNP/MM methodologies. Discover how AceForce enhances accuracy and efficiency in computational drug discovery.
10 months ago
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AceForce 1.0 is here. Our neural network potential is designed to enhance drug discovery with quantum-level accuracy. AceForce 1.0 delivers precise predictions, reduces computational costs, and integrates seamlessly into workflows. Discover more:
acellera.com/blog/advanci...
#compchemsky
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Advancing Drug Discovery with AceForce 1.0 - Acellera Blog
https://acellera.com/blog/advancing-drug-discovery-with-aceforce-1-0
10 months ago
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ACEMD 4.0.0 is here! Now featuring seamless integration of Neural Network Potentials (NNP) with Molecular Mechanics (MM) for advanced hybrid simulations. Key features: š¹ Simplified NNP/MM simulations š¹ Python API & backward compatibility Explore more:
www.acellera.com/blog/release...
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Release of ACEMD 4.0.0: Advancing Machine Learning for Molecular Dynamics Simulations - Acellera Blog
https://www.acellera.com/blog/release-of-acemd-4-0-0-advancing-molecular-dynamics-simulations
11 months ago
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We recently presented our drug discovery methods in a CCPBioSim Industry Talk. Adrià Pérez, one of our computational chemists, showcased how MD simulations power conformational analysis, pose prediction, and free energy calculations. Watch here:
www.acellera.com/blog/aceller...
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Acellera CCPBioSim IndustryTalk: Applications of MD Simulations in Drug Discovery Pipelines - Acellera Blog
https://www.acellera.com/blog/acellera-ccpbiosim-industrytalk
12 months ago
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New work on neural network potentials for lightly coarse-grained systems. AMARO models.
add a skeleton here at some point
12 months ago
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