OIH: autonomous LLM-agent platform for computational binder design and ADC prioritization
AI-agent toolkit for structural biology: design binders, map structures, screen candidates, rank results, and prepare cloud-scale runs.
ProteaFlow — de novo protein binder and small molecule design using 10 generative tools. Automated validation, scoring, and ranking pipeline. Intuitive web interface for job submission, live monitoring, and interactive result exploration — no coding required.
BoltzGen MCP server for protein binder design
BindCraft MCP server for de novo protein binder design
Agent skills for research work. Gated, human-in-the-loop protocols where every expert judgement is a checkpoint and every mechanical rule is a script. First skill: binder-design-campaign.
A curated, actively-updated list of AI/deep-learning papers, libraries, etc for digital biology: protein folding, binder & antibody design, molecular generation, genomics & single-cell foundation models, datasets, and tools.
Query the Human Bindome for BindCraft binder candidates by target.
In-silico protein design bench: takes a target + epitope to designed, structurally validated, developable binders and multivalent scaffolds. Composes the binder-design, developability-hardening, and multivalent-display skills with the structure-model
AI-guided Nipah virus glycoprotein G binder designs submitted to ProteinBase, with reproducible filtering from generated candidates to final selected proteins.
Model-agnostic protocol, replay, ranking-audit and LLM decision-evaluation toolkit for protein binder design campaigns. No protein models, no GPU, CPU-only; built on OpenScience workflow contracts.
Gradient-based design of small-molecule-binding proteins
QC and tag-site scoring for designed protein binders from predicted complexes.
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