Molecule Generation Platforms

Model platforms and microservices such as NVIDIA BioNeMo; specific NIMs unverified and no customers named.

scientific

0named models

36candidates

0deployments

0in Indonesia

Named Models

The research names no model for this use case.

Where this comes from

Models the research names for this use case. Research, with sources on each model record.

Who Runs It

No deployment is recorded for this use case.

Where this comes from

Documented uses by named organisations. The evidence column says who made the claim.

Candidate Models

Boltz-2Boltz PBC, MIT (Jameel Clinic), Recursion, scientificReleasedJun 2025open weightshas scoreslast 18 months

Protenix-v1ByteDance, scientificReleasedFeb 2026open weightslast 18 months

OpenFold3 (preview)OpenFold consortium, scientificReleasedOct 2025open weightslast 18 months

C2S-Scale-Gemma-2-27BYale University, Google, Google DeepMind, scientificReleasedOct 2025open weightslast 18 months

C2S-Scale-Gemma-2-2BYale University, Google, Google DeepMind, scientificReleasedOct 2025open weightslast 18 months

SuryaIBM, NASA, scientificReleasedAug 2025open weightslast 18 months

Protenix-Mini / Mini+ByteDance, scientificReleasedJul 2025open weightslast 18 months

Dayhoff-3b-GR-HM-cMicrosoft AI, scientificReleasedJul 2025open weightslast 18 months

AlphaFold 3Google DeepMind, Isomorphic Labs, scientificReleasedMay 2024open weightshas scores

ESMFold2EvolutionaryScale, scientificReleasedMay 2026last 18 months

Showing 10 of 36. All models of this class

Where this comes from

Derived, not researched: models in the directory whose class matches a class this use case uses, excluding family records and models shut down or deprecated. Ranked by how many fit facts they meet, then by release date. Each fit fact is read from the model record.

Use Case

Industry: healthcare and pharma
Model classes: scientific
Benchmarks or datasets: not in the notes
Regulatory notes: Surat Edaran Menkominfo 9/2023 Etika Kecerdasan Artifisial, Kementerian Komunikasi dan Informatika (now Kementerian Komunikasi dan Digital)Molecule generation platforms is an AI-based service run by an electronic system operator, and the circular asks such operators to build and use AI on the values of inclusivity, transparency, humanity and security.
UU 17/2023 Kesehatan, DPR and President of the Republic of Indonesia (administered by Kementerian Kesehatan)Molecule generation platforms supports research and development of medicines, which this law places under health technology and pharmaceutical supply rules once a product enters development.

Where this comes from

From the industry tracks T08 to T10 of the research notes.

R&D Topics

Links to R&D topics are awaiting review.

Where this comes from

Which R&D topics would most change this use case. Drafted by Claude from the topic definitions and the use case; proposed until approved.

Opportunities

Opportunities are awaiting review.

Where this comes from

Gaps found by rule in what the directory holds for this use case. Each is a proposal for review.

Links

IndustryHealthcare40 use cases, 66 deployments

Use CaseMolecule Generation PlatformsHealthcare

Modelsnone recorded

Who Runs Itnone recorded

Graph

Sources

NVIDIA AI for Healthcare and Life Sciences nvidia.com https://www.nvidia.com/en-us/clara/bionemo/

To cite this page: Project AURION, AI Use-Cases Research & Innovation, "Molecule Generation Platforms", https://aurion.semai.id/usecases/hc-molecule-generation/, records of October 2026.