A General Framework to Learn Tertiary Structure for Protein Sequence Characterization [0.03%]
一种学习蛋白质序列特征三级结构的通用框架
Mu Gao,Jeffrey Skolnick
Mu Gao
During the past five years, deep-learning algorithms have enabled ground-breaking progress towards the prediction of tertiary structure from a protein sequence. Very recently, we developed SAdLSA, a new computational algorithm for protein s...
Machine learning approaches for predicting protein-ligand binding sites from sequence data [0.03%]
从序列数据预测蛋白质配体结合位点的机器学习方法
Proteins, composed of amino acids, are crucial for a wide range of biological functions. Proteins have various interaction sites, one of which is the protein-ligand binding site, essential for molecular interactions and biochemical reaction...