naity

15 mods across 1 repository, 2 stars between them.

alphafold

01

naity/FM4Life

Skill Claude CodeCodex

Skill for protein structure prediction and analysis with AlphaFold. Use this skill whenever a user wants to predict or fetch a protein 3D structure, download structures from the AlphaFold Database (AFDB), run ColabFold for novel proteins, parse pLDDT confidence scores or PAE (predicted aligned error) from AlphaFold…

2 4mo ago A 141 tokens original MIT

alphafold3

02

naity/FM4Life

Skill Claude CodeCodex

Skill for structure prediction with AlphaFold 3 (AF3) from Google DeepMind. Use this skill when a user wants to predict the structure of a protein complex with ligands, DNA, or RNA; predict protein-ligand binding poses; model protein-nucleic acid interactions; use SMILES or CCD codes to specify small molecules; parse…

2 4mo ago A 151 tokens original MIT

boltz

03

naity/FM4Life

Skill Claude CodeCodex

Skill for biomolecular structure and binding affinity prediction with Boltz-2. Use this skill when a user wants to predict protein-ligand complex structures, estimate binding affinities (IC50/ΔG), screen compound libraries, optimize lead compounds, model protein-DNA or protein-RNA interactions, specify binding pockets…

2 4mo ago A 133 tokens original MIT

chai1

04

naity/FM4Life

Skill Claude CodeCodex

Skill for biomolecular structure prediction with Chai-1 from Chai Discovery. Use this skill when a user wants to predict protein structures, protein-ligand complexes, protein-nucleic acid complexes, or multi-chain biomolecular assemblies. Also trigger when the user mentions Chai-1, chai-lab, or wants an…

2 4mo ago A 106 tokens original MIT

diffdock

05

naity/FM4Life

Skill Claude CodeCodex

Skill for protein-ligand docking with DiffDock, a diffusion model that generates 3D binding poses from protein structure and ligand SMILES. Use this skill when a user wants to dock a small molecule to a protein, predict binding poses, run blind docking (no pocket specification required), or process batches of…

2 4mo ago A 95 tokens original MIT

esm2

06

naity/FM4Life

Skill Claude CodeCodex

Skill for working with ESM2 protein language models from Meta FAIR. Use this skill whenever the user wants to generate protein embeddings or representations, score variant effects or predict mutation fitness, run contact prediction, or use ESMFold for structure prediction. Also trigger when the user mentions ESM2…

2 4mo ago A 86 tokens original MIT

esm3

07

naity/FM4Life

Skill Claude CodeCodex

Skill for generative protein design with ESM3 from EvolutionaryScale. Use this skill whenever a user wants to design or generate novel protein sequences, complete masked or partial sequences, predict 3D structure from sequence, perform inverse folding (design a sequence for a target structure), do function-conditioned…

2 4mo ago A 113 tokens original MIT

esmc

08

naity/FM4Life

Skill Claude CodeCodex

Skill for efficient protein embeddings using ESM-C (ESM Cambrian) from EvolutionaryScale. Use this skill whenever a user wants to generate protein embeddings or representations, compute sequence similarities, run protein classification or regression from embeddings, cluster proteins, build a sequence similarity index…

2 4mo ago A 143 tokens original MIT

evo2

09

naity/FM4Life

Skill Claude CodeCodex

Skill for genomic sequence modeling and design with Evo2 from Arc Institute. Use this skill when a user wants to model or generate DNA sequences, score variant effects at single-nucleotide resolution, extract genomic embeddings, analyze mutations in non-coding or coding regions, design synthetic genomic elements…

2 4mo ago A 153 tokens original MIT

prostt5

10

naity/FM4Life

Skill Claude CodeCodex

Skill for protein sequence-structure translation using ProstT5 from Rostlab. Use this skill when a user wants to predict protein structure as a 3Di structural alphabet string (Foldseek tokens) from an amino acid sequence, do inverse folding (recover an amino acid sequence from a 3Di structure), embed both amino acid…

2 4mo ago A 141 tokens original MIT

proteinmpnn

11

naity/FM4Life

Skill Claude CodeCodex

Skill for inverse folding — designing amino acid sequences for a given protein backbone structure. Use this skill when a user wants to design sequences for a PDB structure, score sequences against a structure, design symmetric oligomers with tied positions, fix specific residues while redesigning others, or use…

2 4mo ago A 92 tokens original MIT

prott5

12

naity/FM4Life

Skill Claude CodeCodex

Skill for protein embeddings using ProtTrans models (ProtT5, ProtBERT) from Rostlab. Use this skill whenever a user wants protein embeddings or representations for downstream ML tasks, protein classification (subcellular localization, membrane prediction, secondary structure annotation), similarity search, or…

2 4mo ago A 146 tokens original MIT

rfdiffusion

13

naity/FM4Life

Skill Claude CodeCodex

Skill for de novo protein backbone generation with RFdiffusion from the Baker Lab (Institute for Protein Design). Use this skill when a user wants to design a new protein backbone from scratch, scaffold a functional motif into a new protein, design a protein binder against a target, generate symmetric oligomers…

2 4mo ago A 132 tokens original MIT

rnafm

14

naity/FM4Life

Skill Claude CodeCodex

Skill for RNA sequence analysis with RNA-FM, a foundation model trained on 23 million non-coding RNA sequences. Use this skill when a user wants to embed RNA sequences, predict RNA secondary structure, classify RNA families, or analyze mRNA with mRNA-FM. Also trigger when the user mentions RNA-FM, RNA foundation…

2 4mo ago A 86 tokens original MIT

scgpt

15

naity/FM4Life

Skill Claude CodeCodex

Skill for single-cell biology with scGPT, a foundation model trained on 33 million human single cells. Use this skill when a user wants to annotate cell types, predict perturbation responses, integrate multi-batch scRNA-seq data, extract cell embeddings, perform reference mapping, infer gene regulatory networks, or…

2 4mo ago A 103 tokens original MIT