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Artificial intelligence in drug discovery: Recent advances and future perspectiveshttps://www.tandfonline.com/doi/abs/10.1080/17460441.2021.1909567
Artificial intelligence in drug discovery: what is realistic, what are illusions? Part 1: Ways to make an impact, and why we are not there yethttps://www.sciencedirect.com/science/article/pii/S1359644620305274
Retrospective on a decade of machine learning for chemical discoveryhttps://www.nature.com/articles/s41467-020-18556-9
Enhancing scientific discoveries in molecular biology with deep generative modelshttps://www.embopress.org/doi/full/10.15252/msb.20199198
Ensemble deep learning in bioinformaticshttps://www.nature.com/articles/s42256-020-0217-y
Deep learning for genomics using Jangguhttps://www.nature.com/articles/s41467-020-17155-y
Machine learning approaches to drug response prediction: challenges and recent progresshttps://www.nature.com/articles/s41698-020-0122-1
Avocado: a multi-scale deep tensor factorization method learns a latent representation of the human epigenomehttps://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01977-6
Completing the ENCODE3 compendium yields accurate imputations across a variety of assays and human biosampleshttps://genomebiology.biomedcentral.com/articles/10.1186/s13059-020-01978-5
Artificial intelligence in chemistry and drug designhttps://link.springer.com/article/10.1007%2Fs10822-020-00317-x
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19http://www.vanderschaar-lab.com/NewWebsite/covid-19/post1/paper.pdf
Deep Learning-driven research for drug discovery: Tackling Malariahttps://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1007025
A Deep Learning Approach to Antibiotic Discoveryhttps://www.sciencedirect.com/science/article/pii/S0092867420301021
A comprehensive review of computational prediction of genome-wide featureshttps://academic.oup.com/bib/article-abstract/21/1/120/5177808
Assessing the impact of generative AI on medicinal chemistryhttps://www.nature.com/articles/s41587-020-0418-2
Rethinking drug design in the artificial intelligence erahttps://www.nature.com/articles/s41573-019-0050-3
Artificial intelligence in clinical and genomic diagnosticshttps://genomemedicine.biomedcentral.com/articles/10.1186/s13073-019-0689-8
Opportunities for artificial intelligence in advancing precision medicinehttps://arxiv.org/abs/1911.07125
Machine-learning-guided directed evolution for protein engineeringhttps://www.nature.com/articles/s41592-019-0496-6
Janggu - Deep learning for genomicshttps://www.biorxiv.org/content/10.1101/700450v2
Deep Aging Clocks: The Emergence of AI-Based Biomarkers of Aging and Longevityhttps://www.cell.com/trends/pharmacological-sciences/fulltext/S0165-6147(19)30114-2
Deep Learning in Chemistryhttps://pubs.acs.org/doi/full/10.1021/acs.jcim.9b00266
Deep learning: new computational modelling techniques for genomicshttps://www.nature.com/articles/s41576-019-0122-6
The Kipoi repository accelerates community exchange and reuse of predictive models for genomicshttps://www.nature.com/articles/s41587-019-0140-0
Machine learning and complex biological datahttps://genomebiology.biomedcentral.com/articles/10.1186/s13059-019-1689-0
Applications of machine learning in drug discovery and developmenthttps://www.nature.com/articles/s41573-019-0024-5
Interpretable Deep Learning in Drug Discoveryhttps://arxiv.org/abs/1903.02788
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Modelshttps://arxiv.org/abs/1811.12823
Mind and machine in drug designhttps://www.nature.com/articles/s42256-019-0030-7
Deep learning for molecular generation and optimization-a review of the state of the arthttps://arxiv.org/abs/1903.04388
High-performance medicine: the convergence of human and artificial intelligencehttps://www.nature.com/articles/s41591-018-0300-7
How to explore chemical space using algorithms and automationhttps://www.nature.com/articles/s41570-018-0066-y
Deep learning in bioinformatics: introduction, application, and perspective in big data erahttps://www.biorxiv.org/content/10.1101/563601v1
Machine-Learning-Assisted Directed Protein Evolution with Combinatorial Librarieshttps://arxiv.org/abs/1902.07231
Advances of Machine Learning in Molecular Modeling and Simulationhttps://arxiv.org/abs/1902.00140
Collection in Machine Learning in Health and Biomedicinehttps://collections.plos.org/mlforhealth
Predicting Splicing from Primary Sequence with Deep Learninghttps://www.sciencedirect.com/science/article/pii/S0092867418316295
The practical implementation of artificial intelligence technologies in medicinehttps://www.nature.com/articles/s41591-018-0307-0
Neural network models and deep learning - a primer for biologistshttps://arxiv.org/abs/1902.04704
A guide to deep learning in healthcarehttps://www.nature.com/articles/s41591-018-0316-z
Visible Machine Learning for Biomedicinehttps://www.sciencedirect.com/science/article/pii/S0092867418307190
GuacaMol: Benchmarking Models for de Novo Molecular Designhttps://pubs.acs.org/doi/10.1021/acs.jcim.8b00839
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Machine Learning for Integrating Data in Biology and Medicine: Principles, Practice, and Opportunitieshttps://arxiv.org/abs/1807.00123
Deep learning of genomic variation and regulatory network datahttps://academic.oup.com/hmg/article/27/R1/R63/4966854
Deep Learning for Genomics: A Concise Overviewhttps://arxiv.org/abs/1802.00810
Next-Generation Machine Learning for Biological Networkshttps://www.sciencedirect.com/science/article/pii/S0092867418305920
Machine Learning: Basic Principleshttps://arxiv.org/abs/1805.05052
The rise of deep learning in drug discoveryhttps://www.sciencedirect.com/science/article/pii/S1359644617303598
Machine learning in chemoinformatics and drug discoveryhttps://www.sciencedirect.com/science/article/pii/S1359644617304695
Planning chemical syntheses with deep neural networks and symbolic AIhttps://www.nature.com/articles/nature25978
Predicting the clinical impact of human mutation with deep neural networkshttps://www.nature.com/articles/s41588-018-0167-z
Deep learning sequence-based ab initio prediction of variant effects on expression and disease riskhttps://www.nature.com/articles/s41588-018-0160-6
Avoiding common pitfalls in machine learning omic data sciencehttps://www.nature.com/articles/s41563-018-0241-z
Statistical and machine learning approaches to predicting protein–ligand interactionshttps://www.sciencedirect.com/science/article/pii/S0959440X17301525?via%3Dihub
Machine learning in protein engineeringhttps://arxiv.org/abs/1811.10775
Machine Learning in Computer-Aided Synthesis Planninghttps://pubs.acs.org/doi/10.1021/acs.accounts.8b00087
Deep Learning for Computational Chemistryhttps://arxiv.org/abs/1701.04503
MoleculeNet: a benchmark for molecular machine learninghttp://pubs.rsc.org/en/content/articlehtml/2017/sc/c7sc02664a
Synthetic Patient Generation: A Deep Learning Approach Using Variational Autoencodershttps://arxiv.org/abs/1808.06444
Machine learning for molecular and materials sciencehttps://www.nature.com/articles/s41586-018-0337-2
Low Data Drug Discovery with One-Shot Learninghttps://pubs.acs.org/doi/10.1021/acscentsci.6b00367
Is Multitask Deep Learning Practical for Pharma?https://pubs.acs.org/doi/abs/10.1021/acs.jcim.7b00146
Deep learning for computational biologyhttps://onlinelibrary.wiley.com/doi/abs/10.15252/msb.20156651
Applications of Deep Learning in Biomedicinehttps://pubs.acs.org/doi/10.1021/acs.molpharmaceut.5b00982
Deep learning for regulatory genomicshttps://www.nature.com/articles/nbt.3313
Deep learninghttps://www.nature.com/articles/nature14539
Effect of missing data on multitask prediction methodshttps://jcheminf.biomedcentral.com/articles/10.1186/s13321-018-0281-z
Deep EHR: Chronic Disease Prediction Using Medical Noteshttps://arxiv.org/abs/1808.04928
Machine learning at the energy and intensity frontiers of particle physicshttps://www.nature.com/articles/s41586-018-0361-2
Crystal Structure Prediction via Deep Learninghttps://pubs.acs.org/doi/10.1021/jacs.8b03913
Inverse molecular design using machine learning: Generative models for matter engineeringhttp://science.sciencemag.org/content/361/6400/360
Discovering pathway and cell-type signatures in transcriptomic compendia with machine learninghttps://peerj.com/preprints/27229/
XGBoost: A Scalable Tree Boosting Systemhttps://dl.acm.org/citation.cfm?id=2939785
Matching Networks for One Shot Learninghttp://papers.nips.cc/paper/6385-matching-networks-for-one-shot-learning
Macau: Scalable Bayesian Multi-relational Factorization with Side Information using MCMChttps://arxiv.org/abs/1509.04610
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Neural Networks and Deep Learninghttp://neuralnetworksanddeeplearning.com/index.html
An Introduction to Statistical Learning with Applications in Rhttp://www-bcf.usc.edu/~gareth/ISL/
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Scikit-Learn: A silver bullet for basic machine learninghttps://medium.com/analytics-vidhya/scikit-learn-a-silver-bullet-for-basic-machine-learning-13c7d8b248ee
How to build your own Neural Network from scratch in Pythonhttps://towardsdatascience.com/how-to-build-your-own-neural-network-from-scratch-in-python-68998a08e4f6
Every single Machine Learning course on the internet, ranked by your reviewshttps://medium.freecodecamp.org/every-single-machine-learning-course-on-the-internet-ranked-by-your-reviews-3c4a7b8026c0
101 Machine Learning Algorithms for Data Science with Cheat Sheetshttps://www.r-bloggers.com/101-machine-learning-algorithms-for-data-science-with-cheat-sheets/
Essential cheat sheets for deep learning and machine learning researchershttps://github.com/kailashahirwar/cheatsheets-ai
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