These contacts are then used together with the secondary structure prediction as constraints for the CONFOLD folding method. In this way, a 3D protein model can be built starting directly from the primary sequence. 2019 by John Wiley & Sons, Inc. 2019 John Wiley & Sons, Inc....
Cryo-electron microscopy (cryo-EM) has become a leading technology for determining protein structures. Recent advances in this field have allowed for atomic resolution. However, predicting the backbone trace of a protein has remained a challenge on all b
Work on the HBV core protein of Hepatitis B has been performed in order to have deep considerate of the structure of this virulent protein. To understand the underlying mechanism and to see the effect of different drugs on it by using different bioinformatics tools. The proposed work has been...
蛋白质二级结构的预测是揭示其三维结构和功能的关键中间步骤。MCP(Multi-Component learning machine to Predict protein secondary structure)是一种多组分学习机器,用于预测蛋白质的二级结构。该方法基于大量的已知蛋白质序列和实验测定的二级结构信息进行训练,通过学
Protein structure prediction: Determining the 3D structure of a protein is crucial for understanding its function. However, experimental methods like X-ray crystallography, NMR spectroscopy, and cryo-electron microscopy are time-consuming and expensive. In the absence ofexperimental data, scientists rely...
PHD: predicting 1D protein structure by profile based neural networks We still cannot predict protein three-dimensional (3D脳) structure from sequence alone. But, we can predict 3D structure for one fourth of the known protein sequences (SWISSPROT 1) by homology modelling based on significant sequ...
However, based on assessment of the CASP15 RNA modeling challenge and the metrics used therein, RNA structure prediction using deep learning approaches has not reached human-tailored model performance, and human modeling of RNA structure is still not at the level of protein structure prediction11,...
Prediction of Protein–Protein Interaction Sites in Sequences and 3D Structures by Random Forests Forests method to predict protein interaction sites using i) a combination of sequence and structure-derived parameters ; and ii) sequence information alone... M Sikić,S Tomić,K Vlahovicek - 《P...
A protein-DNA interaction, modeled by AlphaFold 3. Last week, Google released a much-anticipated upgrade for its AlphaFold software, which harnesses artificial intelligence to predict the shape and structure of molecules within the human body. ...
Currently, the prediction of three-dimensional (3D) protein structure from sequence alone is an exceedingly difficult task. As an intermediate step, a much... B Rost,C Sander - 《Proteins Structure Function & Bioinformatics》 被引量: 1427发表: 1994年 Missing value estimation for DNA microarray ...