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Molence BioModel

Mol-1

Mol-1 is an open biomolecular model with a downloadable checkpoint and code for local prediction and fine-tuning. It accepts inputs describing protein, DNA, RNA, ligands, and ions, and produces predicted structures in CIF format with confidence data.

What it does

Researchers can use Mol-1 to predict biomolecular structures and fine-tune the model on their own structural data.

Availability
Checkpoint download and installation instructions provided
Pricing model
Not established
Deployment
Run locally with CPU or NVIDIA GPU
Privacy
Not established
Licence
Apache License 2.0
Capability
analysistrainingfine-tuning
Modality
text3D
Access
CLIopen weights
Deployment
on-premises
Pricing
open-source
Target user
researcherdeveloper

Evidence

6 claims
  • Mol-1 predicts biomolecular structures from inputs that can include protein, DNA, RNA, ligand, or ion entries. [1]
  • Prediction results are provided as CIF structures with a confidence JSON per sample. [1]
    Results are organized in `output/<job_name>/seed_<seed>/predictions/` as CIF structures with a confidence JSON per sample.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The repository provides installation instructions and a downloadable model checkpoint. [1]
  • The project provides installation options for NVIDIA GPU and CPU. [1]
    The example needs about 14 GB of GPU memory; on a 95 GiB NVIDIA Blackwell GPU it takes about two minutes, half of it loading the model, plus a few minutes the first time for the CUDA build above.
    GitHub new repositories. Quoted text is outside CC BY 4.0 and keeps its original rights.
  • The repository includes instructions and scripts for fine-tuning Mol-1. [1]
  • The repository states that the project is licensed under Apache License 2.0. [1]

Sources

1
1
GitHub new repositoriesOwner-controlled
https://github.com/molence/Mol-1 Retrieved 2026-10-31 00:48 UTC
Verified

Versions

1
VersionEffectiveChangeChanged fieldsState
12026-10-31 00:48 UTCpublicationNoneCurrent

Open in the catalog

Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.