A critical review for developing accurate and dynamic predictive models using machine learning methods in medicine and health care
HO Alanazi, AH Abdullah, KN Qureshi - Journal of medical systems, 2017 - Springer
Abstract Recently, Artificial Intelligence (AI) has been used widely in medicine and health
care sector. In machine learning, the classification or prediction is a major field of AI. Today …
care sector. In machine learning, the classification or prediction is a major field of AI. Today …
Comprehensive review and empirical analysis of hallmarks of DNA-, RNA-and protein-binding residues in protein chains
Proteins interact with a variety of molecules including proteins and nucleic acids. We review
a comprehensive collection of over 50 studies that analyze and/or predict these interactions …
a comprehensive collection of over 50 studies that analyze and/or predict these interactions …
A circular RNA promotes tumorigenesis by inducing c-myc nuclear translocation
Circular RNAs (circRNAs) are a subclass of noncoding RNAs widely expressed in
mammalian cells. We report here the tumorigenic capacity of a circRNA derived from …
mammalian cells. We report here the tumorigenic capacity of a circRNA derived from …
GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues
Y Xia, CQ Xia, X Pan, HB Shen - Nucleic acids research, 2021 - academic.oup.com
Abstract Knowledge of the interactions between proteins and nucleic acids is the basis of
understanding various biological activities and designing new drugs. How to accurately …
understanding various biological activities and designing new drugs. How to accurately …
[PDF][PDF] DRNApred, fast sequence-based method that accurately predicts and discriminates DNA-and RNA-binding residues
J Yan, L Kurgan - Nucleic acids research, 2017 - academic.oup.com
Protein-DNA and protein-RNA interactions are part of many diverse and essential cellular
functions and yet most of them remain to be discovered and characterized. Recent research …
functions and yet most of them remain to be discovered and characterized. Recent research …
DeepDISOBind: accurate prediction of RNA-, DNA-and protein-binding intrinsically disordered residues with deep multi-task learning
Proteins with intrinsically disordered regions (IDRs) are common among eukaryotes. Many
IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported …
IDRs interact with nucleic acids and proteins. Annotation of these interactions is supported …
SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences
Motivation Accurate predictions of protein-binding residues (PBRs) enhances understanding
of molecular-level rules governing protein–protein interactions, helps protein–protein …
of molecular-level rules governing protein–protein interactions, helps protein–protein …
A long non-coding RNA is required for targeting centromeric protein A to the human centromere
D Quénet, Y Dalal - elife, 2014 - elifesciences.org
The centromere is a specialized chromatin region marked by the histone H3 variant CENP-
A. Although active centromeric transcription has been documented for over a decade, the …
A. Although active centromeric transcription has been documented for over a decade, the …
A deep learning framework to predict binding preference of RNA constituents on protein surface
Protein-RNA interaction plays important roles in post-transcriptional regulation. However,
the task of predicting these interactions given a protein structure is difficult. Here we show …
the task of predicting these interactions given a protein structure is difficult. Here we show …
High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder
Intrinsically disordered proteins and regions (IDPs and IDRs) lack stable 3D structure under
physiological conditions in-vitro, are common in eukaryotes, and facilitate interactions with …
physiological conditions in-vitro, are common in eukaryotes, and facilitate interactions with …