![Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS](https://www.pnas.org/cms/10.1073/pnas.2104878118/asset/ff117fcc-3f3b-4b6d-9434-6c48d71e8bb5/assets/images/large/pnas.202104878fig01.jpg)
Neural networks to learn protein sequence–function relationships from deep mutational scanning data | PNAS
![Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect](https://ars.els-cdn.com/content/image/1-s2.0-S2001037021000775-ga1.jpg)
Improved sequence-based prediction of interaction sites in α-helical transmembrane proteins by deep learning - ScienceDirect
![Illustration of our deep learning model for contact prediction where L... | Download Scientific Diagram Illustration of our deep learning model for contact prediction where L... | Download Scientific Diagram](https://www.researchgate.net/publication/307604085/figure/fig6/AS:669000962957315@1536513667124/Illustration-of-our-deep-learning-model-for-contact-prediction-where-L-is-the-sequence.png)
Illustration of our deep learning model for contact prediction where L... | Download Scientific Diagram
Machine Learning for Recommender systems — Part 2 (Deep Recommendation, Sequence Prediction, AutoML and Reinforcement Learning in Recommendation) | by Pavel Kordík | Recombee blog | Medium
![Single-sequence protein structure prediction using a language model and deep learning | Nature Biotechnology Single-sequence protein structure prediction using a language model and deep learning | Nature Biotechnology](https://media.springernature.com/full/springer-static/image/art%3A10.1038%2Fs41587-022-01432-w/MediaObjects/41587_2022_1432_Fig1_HTML.png)
Single-sequence protein structure prediction using a language model and deep learning | Nature Biotechnology
![Machine learning analysis of COVID-19 dynamics. (a) Protein unfolding... | Download Scientific Diagram Machine learning analysis of COVID-19 dynamics. (a) Protein unfolding... | Download Scientific Diagram](https://www.researchgate.net/publication/342223138/figure/fig5/AS:903230515064832@1592358344271/Machine-learning-analysis-of-COVID-19-dynamics-a-Protein-unfolding-prediction-The.png)
Machine learning analysis of COVID-19 dynamics. (a) Protein unfolding... | Download Scientific Diagram
![Comparison of machine learning and deep learning techniques in promoter prediction across diverse species [PeerJ] Comparison of machine learning and deep learning techniques in promoter prediction across diverse species [PeerJ]](https://dfzljdn9uc3pi.cloudfront.net/2021/cs-365/1/fig-1-full.png)
Comparison of machine learning and deep learning techniques in promoter prediction across diverse species [PeerJ]
![Frontiers | Deep Learning Driven Drug Discovery: Tackling Severe Acute Respiratory Syndrome Coronavirus 2 Frontiers | Deep Learning Driven Drug Discovery: Tackling Severe Acute Respiratory Syndrome Coronavirus 2](https://www.frontiersin.org/files/MyHome%20Article%20Library/739684/739684_Thumb_400.jpg)
Frontiers | Deep Learning Driven Drug Discovery: Tackling Severe Acute Respiratory Syndrome Coronavirus 2
Deep Dive into Machine Learning Models for Protein Engineering | Journal of Chemical Information and Modeling
![Crystals | Free Full-Text | Recent Advances in the Prediction of Protein Structural Classes: Feature Descriptors and Machine Learning Algorithms Crystals | Free Full-Text | Recent Advances in the Prediction of Protein Structural Classes: Feature Descriptors and Machine Learning Algorithms](https://www.mdpi.com/crystals/crystals-11-00324/article_deploy/html/images/crystals-11-00324-g001.png)
Crystals | Free Full-Text | Recent Advances in the Prediction of Protein Structural Classes: Feature Descriptors and Machine Learning Algorithms
![ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation: Molecular Therapy - Nucleic Acids ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation: Molecular Therapy - Nucleic Acids](https://www.cell.com/cms/asset/080fe11b-8a67-4cc5-adb8-7ed5195b2ba9/gr1.jpg)
ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation: Molecular Therapy - Nucleic Acids
![A deep learning model for predicting next-generation sequencing depth from DNA sequence | Nature Communications A deep learning model for predicting next-generation sequencing depth from DNA sequence | Nature Communications](https://media.springernature.com/m685/springer-static/image/art%3A10.1038%2Fs41467-021-24497-8/MediaObjects/41467_2021_24497_Fig1_HTML.png)