Скачать или смотреть Protein Structure Prediction using the Advance methods in RoseTTAFold

This Tutorial will help you in predicting the structure of your protein Using RoseTTAFold. Computational prediction of protein structures, which has been a long-standing challenge in molecular biology for more than 40 years, may be able to fill this gap. Many useful and accurate three-dimensional models have been computed from amino acid sequences by using the Deep learning , pattern of sequence of amino acid and interactions between the amino acids to fold the protein into 3D structure. RoseTTAFold is a “three-track” neural network, meaning it simultaneously considers patterns in protein sequences, how a protein’s amino acids interact with one another, and a protein’s possible three-dimensional structure. In this architecture, one-, two-, and three-dimensional information flows back and forth, allowing the network to collectively reason about the relationship between a protein’s chemical parts and its folded structure.

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