AlphaProteo
AI Model · Research Preview
AI system for generating novel, high-affinity protein binders directly from target structures
Google DeepMind
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Research goal → workflow → tools → GPU. Grounded in the catalog.
Fast, highly accurate target structure prediction from sequence via AlphaFold2.
Diffusion generative model for target-conditioned binder backbones.
Sequence design & rotamer optimization on generated scaffolds.
Complex validation, interface alignment & ipTM confidence scoring.
Protein structure, molecular representations and biological foundation models.
Computational chemistry, molecular design and AI-assisted pharmaceutical discovery.
AI and accelerated analysis for genomic and biological data.
Cloud compute and model infrastructure for scientific workloads; suitability must be assessed per project.
Research instruments and automated laboratory workflows with documented AI or machine-learning integration.
Single-cell models, spatial analysis and machine-learning cytometry.
AI microscopy, research pathology and cryo-EM analysis.
Non-AI reference algorithms, classical sequence search, physics and statistics, plus supporting computational biology and machine-learning libraries.
Experimental LC–MS/MS, peptide spectral analysis, DIA proteomics, HLA peptide presentation and immunopeptidomics. Classical algorithms and deep models distinguished.
Products checked against sources and reviewed company submissions.
AI Model · Research Preview
AI system for generating novel, high-affinity protein binders directly from target structures
Google DeepMind
AI Model · Open Source
Zero-shot prediction of protein variant effects with language models
Meta AI (FAIR)
AI Model · Open Source
Autoregressive language model generating de novo functional protein sequences
University of Bayreuth
AI Model · Open Source
Diffusion-based generative model for antibody CDR design and antigen conditioning
Tsinghua University (AIR)
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