Popular GitHub Repositories for Amino Acids

LucaProt: A novel deep learning framework that incorporates protein amino acid sequence and structural information to predict protein function.

Nucleic Acids Research 2024：RNA-MSM model is an unsupervised RNA language model based on multiple sequences that outputs both embedding and attention map to match different types of downstream tasks.

Graph neural network for generating novel amino acid sequences that fold into proteins with predetermined topologies.

Preforms De novo protein design using machine learning and PyRosetta to generate a novel protein structure

2017年印度食物成分表（IFCT 2017）工具包，包含528种主要食物的营养成分值。

Prediction of binding residues for metal ions, nucleic acids, and small molecules.

Protein structure prediction is the task of predicting the 3-dimensional structure (shape) of a protein given its amino acid sequence and any available supporting information. In this section, we will Install and inspect sidechainnet, a dataset with tools for predicting and inspecting protein structures, complete two simplified implementations of Attention based Networks for predicting protein angles from amino acid sequences, and visualize our predictions along the way.

Computational analysis of nucleic acids structures using graph neural networks

catELMo: Context-Aware Amino Acid Embedding Advances Analysis of TCR-Epitope Interactions

Recurrent neural network implementations for protein secondary structure prediction and language models

A proof-of-concept for using AlphaFold with new amino acid sequences (this may change to a full project in the future).