residue
Genre:
- Research Report > Experimental Study (1.00)
- Research Report > New Finding (0.67)
Industry:
- Health & Medicine > Pharmaceuticals & Biotechnology (1.00)
- Health & Medicine > Therapeutic Area > Immunology (1.00)
Multi-Scale Representation Learning for Protein Fitness Prediction
Given the limited availability of functional annotations from wet-lab experiments, previous methods have primarily relied on self-supervised models trained on vast, unlabeled protein sequence or structure datasets.
Technology:
ProteinShake Building datasets and benchmarks for deep learning on protein structures
However, the heterogeneity of protein data constitutes a problem for reproducible machine learning.
Country:
- Europe > Switzerland > Zürich > Zürich (0.14)
- North America > United States > California > Los Angeles County > Pasadena (0.04)
- Europe > Switzerland > Basel-City > Basel (0.04)
- Europe > Germany (0.04)
Technology: Information Technology > Artificial Intelligence > Machine Learning > Neural Networks > Deep Learning (1.00)
F ABind: Fast and Accurate Protein-Ligand Binding
However, these methods have notable limitations.
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Unsupervised Protein-Ligand Binding Energy Prediction via Neural Euler's Rotation Equation
Protein-ligand binding prediction is a fundamental problem in AI-driven drug discovery.
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Country:
- North America > United States (0.14)
- Europe > Austria > Vienna (0.04)
- Asia > China > Anhui Province > Hefei (0.04)
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