LiorZ / seminal-deep-learning-biology

Seminal Deep Learning papers in biology and biomedicine

Seminal Deep Learning papers in biology and biomedicine

This repository concentrates all the interesting and important papers in the field of biology, biochemistry and biomedicine

Macromolecular Structure / Sequence

• ProtVec: A Continuous Distributed Representation of Biological Sequences
• AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery Izhar
• ElemNet: Deep Learning the Chemistry of Materials From Only Elemental Composition
• DeepDrug3D: Classification of ligand-binding pockets in proteins with a convolutional neural network
• Mol2vec: Unsupervised Machine Learning Approach with Chemical Intuition.
• Unified rational protein engineering with sequence-based deep representation learning

Microscopy

• In Silico Labeling: Predicting Fluorescent Labels in Unlabeled Images