“‘AlphaFold’ Tag”,2019-12-14 ():
Bibliography for tag
ai/nn/transformer/alphafold, most recent first: 46 annotations & 29 links (parent).
- See Also
- Links
- “Sperm Can’t Unlock an Egg Without This Ancient Molecular Key”
- “Training Compute-Optimal Protein Language Models”, et al 2024
- “Atomically Accurate de Novo Design of Single-Domain Antibodies”, et al 2024
- “Press Release: The Nobel Prize in Chemistry 2024”
- “AlphaFold2 Structures Template Ligand Discovery”, et al 2023
- “Self-Play Reinforcement Learning Guides Protein Engineering”, et al 2023c
- “Evolutionary-Scale Prediction of Atomic Level Protein Structure With a Language Model”, et al 2022
- “OpenFold: Retraining AlphaFold2 Yields New Insights into Its Learning Mechanisms and Capacity for Generalization”, et al 2022
- “Top-Down Design of Protein Nanomaterials With Reinforcement Learning”, et al 2022
- “Genome-Wide Prediction of Disease Variants With a Deep Protein Language Model”, et al 2022
- “Accurate Prediction of Transition Metal Ion Location via Deep Learning”, et al 2022
- “Antibody Optimization Enabled by Artificial Intelligence Predictions of Binding Affinity and Naturalness”, et al 2022
- “HelixFold-Single: MSA-Free Protein Structure Prediction by Using Protein Language Model As an Alternative”, et al 2022
- “OmegaFold: High-Resolution de Novo Structure Prediction from Primary Sequence”, et al 2022
- “HelixFold: An Efficient Implementation of AlphaFold2 Using PaddlePaddle”, et al 2022
- “Robust Deep Learning Based Protein Sequence Design Using ProteinMPNN”, et al 2022
- “State-Of-The-Art Estimation of Protein Model Accuracy Using AlphaFold”, 2022
- “FastFold: Reducing AlphaFold Training Time from 11 Days to 67 Hours”, et al 2022
- “AlphaFold Accelerates Artificial Intelligence Powered Drug Discovery: Efficient Discovery of a Novel Cyclin-Dependent Kinase 20 (CDK20) Small Molecule Inhibitor”, et al 2022
- “The Accuracy of Protein Structures in Solution Determined by AlphaFold and NMR”, 2022
- “Protein Structure Predictions to Atomic Accuracy With AlphaFold”, 2022
- “Computed Structures of Core Eukaryotic Protein Complexes”, et al 2021
- “Towards a Structurally Resolved Human Protein Interaction Network”, et al 2021
- “A Structural Biology Community Assessment of AlphaFold 2 Applications”, et al 2021
- “Single-Sequence Protein Structure Prediction Using Language Models from Deep Learning”, et al 2021
- “Can AlphaFold2 Predict Protein-Peptide Complex Structures Accurately?”, 2021
- “Deep Neural Language Modeling Enables Functional Protein Generation across Families”, et al 2021
- “Accurate Prediction of Protein Structures and Interactions Using a 3-Track Network”, et al 2021
- “Deep Learning Methods in Protein Structure Prediction”, et al 2020
- “Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model”, et al 2016
- “Predicting Protein Structures With a Multiplayer Online Game”, et al 2010
- “AlphaFold Protein Structure Database”
- “The Illustrated AlphaFold”
- “Fabian Fuchs”
- “Trainable, Memory-Efficient, and GPU-Friendly PyTorch Reproduction of AlphaFold 2”
- “Open Source Code for AlphaFold”
- “AlphaFold @ CASP13: ‘What Just Happened?’”
- “AlphaFold2 @ CASP14: ‘It Feels like One’s Child Has Left Home.’”
- “The AlphaFold2 Method Paper: A Fount of Good Ideas”
- “Did DeepMind Solve The Protein Folding Problem?”
- “AI Is Ushering In a New Scientific Revolution”
- “CASP14: What Google DeepMind’s AlphaFold 2 Really Achieved, and What It Means for Protein Folding, Biology and Bioinformatics”
- “AlphaFold 2 Is Here: What’s behind the Structure Prediction Miracle”
- “A.I. Predicts the Shapes of Molecules to Come”
- “DeepMind’s AlphaFold Changed How Researchers Work”
- “This AI Software Nearly Predicted Omicron’s Tricky Structure”
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