Computational methods for predicting hotspots at protein–RNA interfaces
Sign Up to like & getrecommendations! Published in 2021 at "Wiley Interdisciplinary Reviews: RNA"
DOI: 10.1002/wrna.1675
Abstract: Protein–RNA interactions play essential roles in many critical biological events. A comprehensive understanding of the mechanisms underlying these interactions is helpful when studying cellular activities and therapeutic applications. Hotspots are a small portion of residues… read more here.
Keywords: computational methods; predicting hotspots; hotspots protein; rna interactions ... See more keywords
Methods for Predicting CircRNA-miRNA-mRNA Regulatory Networks: GreenCircRNA and PlantCircNet Databases as Study Cases.
Sign Up to like & getrecommendations! Published in 2021 at "Methods in molecular biology"
DOI: 10.1007/978-1-0716-1645-1_11
Abstract: Circular RNAs are molecules formed by 3'-5' ligation in a splicing reaction, the so-called backsplicing. Well described in other groups, especially in humans, circRNA studies that include prediction and validation in plants are recent. It… read more here.
Keywords: predicting circrna; methods predicting; circrna mirna; regulatory networks ... See more keywords
Linear and Kernel Model Construction Methods for Predicting Drug-Target Interactions in a Chemogenomic Framework.
Sign Up to like & getrecommendations! Published in 2018 at "Methods in molecular biology"
DOI: 10.1007/978-1-4939-8639-2_12
Abstract: Identification of drug-target interactions is a crucial process in drug discovery. In this chapter, we present protocols for recent advancements in machine learning methods for predicting drug-target interactions from heterogeneous biological data in a chemogenomic… read more here.
Keywords: kernel; target; methods predicting; drug ... See more keywords
New empirical methods for predicting flexural capacity and stiffness of CFST beam
Sign Up to like & getrecommendations! Published in 2020 at "Journal of Constructional Steel Research"
DOI: 10.1016/j.jcsr.2019.105778
Abstract: Abstract This paper presents new empirical methods to theoretically predict bending moment capacity (Mu) and flexural stiffness values at the initial and serviceability levels (Ki and Ks) of concrete-filled steel tube (CFST) composite beams. A… read more here.
Keywords: cfst; stiffness; capacity; methods predicting ... See more keywords
Kernel Methods for Predicting Yields of Chemical Reactions.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.1c00699
Abstract: The use of machine learning methods for the prediction of reaction yield is an emerging area. We demonstrate the applicability of support vector regression (SVR) for predicting reaction yields, using combinatorial data. Molecular descriptors used… read more here.
Keywords: quantum chemical; kernel methods; methods predicting; structure based ... See more keywords
A review of methods for predicting DNA N6-methyladenine sites
Sign Up to like & getrecommendations! Published in 2022 at "Briefings in bioinformatics"
DOI: 10.1093/bib/bbac514
Abstract: Deoxyribonucleic acid(DNA) N6-methyladenine plays a vital role in various biological processes, and the accurate identification of its site can provide a more comprehensive understanding of its biological effects. There are several methods for 6mA site… read more here.
Keywords: review methods; dna methyladenine; methods predicting; computer methods ... See more keywords
Computational Methods for Predicting and Understanding Food Judgment
Sign Up to like & getrecommendations! Published in 2022 at "Psychological Science"
DOI: 10.1177/09567976211043426
Abstract: People make subjective judgments about the healthiness of different foods every day, and these judgments in turn influence their food choices and health outcomes. Despite the importance of such judgments, there are few quantitative theories… read more here.
Keywords: methods predicting; food; understanding food; computational methods ... See more keywords
Methods of Predicting Vapor Cloud Explosions in Enclosed Spaces
Sign Up to like & getrecommendations! Published in 2018 at "Coke and Chemistry"
DOI: 10.3103/s1068364x18080021
Abstract: For the example of 80 organic solvents, the method developed by the All-Russian Research Institute for Fire Protection (ARRIFP) and the Baker–Strehlow–Tang (BST) method for the prediction of vapor-cloud explosions (VCE) in enclosed spaces are… read more here.
Keywords: predicting vapor; enclosed spaces; explosions enclosed; methods predicting ... See more keywords
Recent advances in machine learning methods for predicting LncRNA and disease associations
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Cellular and Infection Microbiology"
DOI: 10.3389/fcimb.2022.1071972
Abstract: Long non-coding RNAs (lncRNAs) are involved in almost the entire cell life cycle through different mechanisms and play an important role in many key biological processes. Mutations and dysregulation of lncRNAs have been implicated in… read more here.
Keywords: predicting lncrna; methods predicting; disease; machine learning ... See more keywords
In Vitro Methods for Predicting Chemical Leukoderma Caused by Quasi-Drug Cosmetics
Sign Up to like & getrecommendations! Published in 2017 at "Cosmetics"
DOI: 10.3390/cosmetics4030031
Abstract: Skin care cosmetics frequently contain whitening or lightening agents. The present study aimed to establish in vitro methods for predicting chemical leukoderma caused by whitening agents in cosmetics. The risks of chemical leukoderma were predicted… read more here.
Keywords: chemical leukoderma; methods predicting; cause leukoderma; vitro methods ... See more keywords