flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions
Sign Up to like & getrecommendations! Published in 2021 at "Nature Communications"
DOI: 10.1038/s41467-021-24773-7
Abstract: Identification of intrinsic disorder in proteins relies in large part on computational predictors, which demands that their accuracy should be high. Since intrinsic disorder carries out a broad range of cellular functions, it is desirable… read more here.
Keywords: disorder functions; intrinsic disorder; disorder; disorder prediction ... See more keywords
Improving protein disorder prediction by deep bidirectional long short‐term memory recurrent neural networks
Sign Up to like & getrecommendations! Published in 2017 at "Bioinformatics"
DOI: 10.1093/bioinformatics/btw678
Abstract: Motivation: Capturing long‐range interactions between structural but not sequence neighbors of proteins is a long‐standing challenging problem in bioinformatics. Recently, long short‐term memory (LSTM) networks have significantly improved the accuracy of speech and image classification… read more here.
Keywords: neural networks; disorder; disorder prediction; recurrent neural ... See more keywords
Advance Genome Disorder Prediction Model Empowered with Deep Learning
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3186998
Abstract: A major and essential issue in biomedical research is to predict genome disorder. Genome disorders cause multivariate diseases like cancer, dementia, diabetes, cystic fibrosis, leigh syndrome, etc. which are causes of high mortality rates around… read more here.
Keywords: disorder prediction; model; disorder; genome disorder ... See more keywords