PDF) A fast and interpretable deep learning approach for accurate electrostatics-driven pKa predictions in proteins
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A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven pKa Predictions in Proteins
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Protein pKa Prediction with Machine Learning
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Frontiers, Application of Machine Learning for Drug–Target Interaction Prediction
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Frontiers Improving Small Molecule pKa Prediction Using Transfer Learning With Graph Neural Networks
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Frontiers How can we discover developable antibody-based biotherapeutics?
Comparative Performance of High-Throughput Methods for Protein pKa Predictions
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Biomolecules, Free Full-Text
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PDF) Protein pKa prediction by tree-based machine learning
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PDF] PKAD: a database of experimentally measured pKa values of ionizable groups in proteins
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PDF) A Fast and Interpretable Deep Learning Approach for Accurate Electrostatics-Driven p K a Predictions in Proteins
Djork-Arné Clevert - Pfizer
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Surface-based protein domains retrieval methods from a SHREC2021 challenge - ScienceDirect
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Biophysical cartography of the native and human-engineered antibody landscapes quantifies the plasticity of antibody developability