BioTeam

ProtCast — predicting Molecular Function from protein sequence

Central store for BioTeam Claude skills, how-tos, and helper material for scientific & HPC integrations (Slurm, AWS ParallelCluster/PCS/Batch, Schrödinger, GROMACS, RELION, CryoSPARC, MCP servers).

Run Apple's SimpleFold model in Amazon HealthOmics: Nextflow, Dockerfile, and Terraform

This code reproduces the protein secondary structure prediction using a neural network described in Holley, L.H. & Karplus, M. (1989). Protein secondary structure prediction with a neural network.

Code to create a GPT-2-style, decoder-only Small LAnguage Model

Code to produce fixed-length feature vectors from protein sequences based on iFeatureOmega

Stand-alone DD viewer for schema.json artifacts