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.
Robetta
robetta.bakerlab.org

[@togetherJHD597]

Assalamualaikum Dr. Muzammel Rahman...I am Frengki from Indonesia..thanks alot on all your dedication for upload this video

[@abidatahseenakhtar2339]

Excellent

[@sharifkhan3753]

This is the first tutorial on Rosetta Fold

[@sharifkhan3753]

Best tutorial ever on RosseTTAFold

[@AbdulrahmanMSaleh]

جزاك الله خيرا

[@MuzzammelRehman]

جزاک اللہ وایاک. Watch homology modelling , multi ligand docking and AlphaFold tutorial as well. Also recommend to others who want free education

[@MuzzammelRehman]

Also Subscribe the channel

[@AbdulrahmanMSaleh]

@@MuzzammelRehman i will watch all videos insha'Allah ..

[@sakibhossen00]

Sir, are Rosseta and Rosse TTAFold diffrent platform or same??

[@only1kay275]

Have you forgotten something sir?

[@MuzzammelRehman]

What ??