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A directory of tools, AI models, datasets, and research resources for biotech, bioinformatics, and other scientific fields. Aggregated from curated GitHub awesome-lists, HuggingFace, bio.tools, Bioconductor, and more.
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146 of 7,765 resources matching “protein”
Showing 51–100
protein folding model using only general-purpose transformer layers, scaled
protein (RBP) binding motifs. RBPBench can be used for a variety
Predicts transcription factor binding sites in up to 316 vertebrate
Protein Data Bank structures into 3D-printable models. Each polymer
Local Python sequence utilities for nucleotide composition, DNA and RNA
Local Windows-friendly R Shiny application for RNA-seq differential
protein structures. Membrane Visual QC provides planar membrane-relative geometry
AESTETIK is a deep learning model that jointly integrates spatial
Collection of SKILLS.md guiding AI coding agents (Claude Code, OpenAI
Provides a comprehensive suite of functions to design and annotate
SpaceTrooper performs Quality Control analysis using data driven GLM models
Curated collection of agent skills for scientific research (InternScience, 493
protein language models into the R environment. Provides unified interfaces
protein engineering, and single-cell omics analysis (PharMolix & Tsinghua
Curated, multilingual library of 182 installable AI agent skills for
protein-language-model-informed token space; enables zero-shot cell
Long-context generative genomic foundation model using 6-mer tokenization
LLM papers for scientific discovery
protein target sequences. The mirnaprotpred package provides two core modules
Protein Language Models (PLMs). It uses trainable subnetworks to isolate
Cross-platform system optimizations for accelerating AlphaFold3 training with 1.73
CAPHEINE is a comprehensive computational workflow that automates exploratory evolutionary
Learning the language of protein-protein interactions
protein structure determination from electron density with high accuracy (3DEM/EMBL
proteins via backpropagation through compositional design constraints parameterized by structure
Interactive R package with an intuitive Shiny-based graphical interface
First fully open-source model achieving AlphaFold3-level accuracy with
CGAS is an automated Python-based pipeline providing a comprehensive
protein engineering. It orchestrates a unified ecosystem of specialized tools
gMISpy is a Python package designed to compute genetic Minimal
bifidoAnnotator is a bioinformatics tool designed for fine-grained annotation
A tool that enables in silico identification, integration, and modeling
protein-DNA binding preferences. It accepts various data types (ChIP
protein-protein interactions. The output would facilitate non-specific background
Tool to build force field input files for molecular simulation
protein antigens for subunit vaccine design against multidrug-resistant pathogens
protein fitness prediction and design, aggregating 200+ deep mutational scanning
protein conformational ensembles, covering both experimental PDB states and molecular
Create, handle, validate, visualize and convert networks in the Cytoscape
protein-coding genes, followed by enrichment analysis. Results can be visualized
maeparser is a parser for Schrodinger Maestro files.
protein language model using 3D structural vocabulary (Foldseek) for joint
protein language model translating between protein sequence and structure, finetuned
methods for predicting Enzyme Commission (EC) numbers from protein sequences.
protein schematics from Uniprot API output. From the JSON returned
protein sequence design over evolutionary-scale databases, supporting unconditional generation
protein-ligand complex structures with dynamic receptor conformational flexibility, enabling
Scanning (DMS) scores across protein domains, aiding systematic variant effect prediction.
This package provides functions for the analysis of data generated