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OxyMetaG is a tool that estimates the proportional abundance of

Protein Atlas data. HPAanalyze is designed to fullfill 3 main

protein secondary structure prediction. It processes raw single amino acid

SO is a collaborative ontology project for the definition of

Rapid & standardized annotation of bacterial genomes, MAGs & plasmids

protein–ligand binding-affinity model. Given a protein sequence and a ligand

💻 GitHub Repo • 🤗 Model Collections • 📖 MemSFT Paper

ProtSent-V2 35M plus one more contrastive pass on a

protein interactions network. Although the ToppCluster web application provides convenient

protein-protein interaction (PPI) sites, designed to handle both structured

This is a R package to compute the automorphisms between

protein embeddings where biological similarity maps to embedding proximity. Intended

proteins and protein-ligand complexes based in the 3D structure

DupyliCate is a high-throughput Python tool designed for mining

yields a protein-protein association network without task-specific training.

A local command-line tool for ancestral sequence reconstruction with

encoder-only component of GB.StructureTokenizer for tokenization of protein structures.

protein together with a range of structural and functional tracks

Trinity-Mini-AI-Scientist

S4 generic functions and classes needed by Bioconductor proteomics packages

200+ AI for Science papers with Chinese interpretations

protein engineering, and single-cell omics analysis (PharMolix & Tsinghua

Protein Resource (UniProt) is a comprehensive resource for protein sequence

protein isoforms. Our approach infers the presence/absence of protein isoforms

SMBGC Annotation using Neural Networks Trained on Interpro Signatures

Curated, multilingual library of 182 installable AI agent skills for

SMILES structures based on both disease pathways and protein sequence.

NucleusDiff

Collection of functions to calculate a nucleotide sequence surrounding for

protein–protein and peptide–MHC interaction, and more — following the…

Py-HLA-Match is a Python library for standardised, rule

Autonomous AI agent for end-to-end spatial proteomics analysis

protein structure prediction and design that defines a new frontier

Genome mapping and spliced alignment of cDNA or amino acid

protein stability of the transcription factors (TFs) of the TSGs

SMILES structures based on both disease pathways and protein sequence.

protein-language-model-informed token space; enables zero-shot cell

650M with LoRA for predicting protein subcellular localization (10 classes).

protein identification, profile alignment and biomarker identification. Using Continuous Wavelet

R-package with shiny interface, provides a framework for the

Distilling Boltz: Flow Maps for Fast All-Atom Cofolding

Long-context generative genomic foundation model using 6-mer tokenization

LLM papers for scientific discovery

Democratizing AlphaFold3: PyTorch reimplementation to accelerate protein structure prediction research

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proteins, nucleic acids, small molecules, and cyclic peptides with fine

proteins, small molecules, DNA, RNA, glycans) achieving SOTA across benchmarks

protein-peptide complexes. It helps characterize protein-peptide interactions critical