protein secondary structure predictionunsupervised learningRecently, a deep learning-based enhancing Position-Specific Scoring Matrix (PSSM) method (Bagging Multiple Sequence Alignment [MSA] Learning) Guo et al. has been proposed, and its effectiveness has been empirically proved. Program EPTool is the ...
Bioinformatics toolProtein structure predictionSecondary structureSolvent accessibilityTertiary structureProtein disorderDomainFold recognitionAs genome sequencing is becoming routine in biomedical research, the total number of protein sequences is increasing exponentially, recently reaching over 108 million. However,...
To meet the need, we have developed a comprehensive MULTICOM toolbox consisting of a set of protein structure and structural feature prediction tools. These tools include secondary structure prediction, solvent accessibility prediction, disorder region prediction, domain boundary prediction, contact map pre...
To address the distillation issues in protein secondary structure prediction, the knowledge distillation method is commonly employed to enhance model results and reduce model size. Wang et al.30developed the PSSM-Distil framework, specifically for protein secondary structure prediction (PSSP) with low-qu...
STRUCTURE PREDICTIONSECONDARY STRUCTURE3D STRUCTURESHUMAN HEPSINDATABASEMUTATIONSRECEPTORHomology models of proteins are of great interest for planning and analysing... A Konstantin,B Lorenza,K Jürgen,... - 《Bioinformatics》 被引量: 1.2万发表: 2006年 SOPM: a self-optimized method for protein secon...
Much effort has been made to reduce/eliminate the interference of H2O, simplify operation steps, and increase prediction accuracy. Progress in sampling and equipment has rendered the Fourier transform infrared (FTIR) technique suitable for determining the protein secondary structure in broader ...
Much effort has been made to reduce/eliminate the interference of H 2 O, simplify operation steps, and increase prediction accuracy. Progress in sampling and equipment has rendered the Fourier transform infrared (FTIR) technique suitable for determining the protein secondary structure in broader ...
Circular dichroism (CD) is an excellent tool for rapid determination of the secondary structure and folding properties of proteins that have been obtained using recombinant techniques or purified from tissues. The most widely used applications of protein CD are to determine whether an expressed, purifi...
Understanding by design: Implementing deep learning from protein structure prediction to protein design Gao, Yuanxu, Jiangshan Zhan, and Albert CH Yu MedComm-Future Medicine 1.2 (2022): e22 Diffusion Models in Bioinformatics: A New Wave of Deep Learning Revolution in Action Zhiye Guo, Jian Liu, ...
a large body of work has been published covering various applications of CNNs, such as the prediction of protein functions38and subcellular localization78, prediction of effects of noncoding-variants79and protein fold recognition80. Here we use the CNN-based DeepGO tool38in our comparison study....