Lists (5)
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Pro-FSFP: Few-Shot Protein Fitness Prediction
Some scoring functions for predicting the effects of mutations on protein sequences using ESM-2
Code of “Multi-Modal Deep Learning Enables Ultrafast and Accurate Annotation of Enzymatic Active Sites”
Expert-Guided Protein Language Models enable Accurate and Blazingly Fast Fitness Prediction
PointSite: a point cloud segmentation tool for identification of protein ligand binding atoms
In-house inpainting pipeline (Rfdiffusion>ProteinMPNN>AF2)
A generalized enzyme kinetics parameter prediction model.
GENERator: A Long-Context Generative Genomic Foundation Model
Genome modeling and design across all domains of life
Making Protein Modeling Accessible to All Biologists
ProteinChat: A frontier protein-language generative model designed to decode the molecular language of proteins.
Inference code for PoET: A generative model of protein families as sequences-of-sequences
Saprot: Protein Language Model with Structural Alphabet (AA+3Di)
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
ProTrek: Navigating the Protein Universe through Tri-Modal Contrastive Learning
fpocket is a very fast open source protein pocket detection algorithm based on Voronoi tessellation. The platform is suited for the scientific community willing to develop new scoring functions and…
This is the offical codebase to reproduce and use EVOLVEpro, a model for in silico directed evolution of protein activities using few-shot active learning.
Listing of papers about machine learning for proteins.
Implementation of Alphafold 3 from Google Deepmind in Pytorch
Joint sequence and structure generation with RoseTTAFold sequence space diffusion
Protein Sequence Design with Deep Learning and Tooling like Monte Carlo Sampling and Analysis