#computational-biology

A curated collection of AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, clinical AI, and protein design.

An AI-native molecular biology workbench for Claude Science: Claude opens sequence files and prepares analyses on request; you annotate, align, and review them in an interactive workspace.

Interpretable ranking and layered screening for generated protein backbone candidates.

Agentic AI for biologically grounded morphological feature design from microscopy — designs, implements, and validates compact cell-profiling features. Includes a desktop Qt UI demo.

race a noncoding disease variant to the transcription-factor motif it disrupts — from DNA sequence — using ChromBPNet, in-silico mutagenesis, and JASPAR. Built with Claude Science for the Life Sciences hackathon.

Prior- and constraint-driven directed-evolution agent on the GB1 four-site landscape: seven-arm controlled comparison, auditable constraints, and an honest null result for the LLM

Agent Skills for computational biology — RNA-seq, single-cell, protein structure, molecular dynamics, peptide design, literature mining and publication figures. Turn any AI coding agent into a computational biology assistant.

An auditable LLM-assisted workflow for computational D-peptide candidate prioritization and provenance tracking.