CRITICAL ASSESSMENT OF TECHNIQUES FOR PROTEIN STRUCTURE PREDICTION

By Riviera Maya. 2014

Subfields: Computational Biology & Bioinformatics

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1. C. Q.
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6. Read Rj
7. Millan C
8. A. C

Citations in the corpus

• Accurate prediction of protein structures and interactions using a 3-track neural network (2021, methodology): “The biannual Critical Assessment of Structure Prediction (CASP) meetings have demonstrated that deep-learning methods such as AlphaFold (1, 2) and trRosetta (3), which extract information from the large database of knownprotein structures in the Protein Data Bank (PDB), outperformmore traditional ap”
• Accurate RNA 3D structure prediction using a language model-based deep learning approach (2022, neutral): “35,36).”