Multi-target prediction: a unifying view on problems and methods
Sign Up to like & getrecommendations! Published in 2018 at "Data Mining and Knowledge Discovery"
DOI: 10.1007/s10618-018-0595-5
Abstract: Many problem settings in machine learning are concerned with the simultaneous prediction of multiple target variables of diverse type. Amongst others, such problem settings arise in multivariate regression, multi-label classification, multi-task learning, dyadic prediction, zero-shot… read more here.
Keywords: target prediction; problems methods; unifying view; prediction ... See more keywords
The Development of Target-Specific Machine Learning Models as Scoring Functions for Docking-Based Target Prediction
Sign Up to like & getrecommendations! Published in 2019 at "Journal of chemical information and modeling"
DOI: 10.1021/acs.jcim.8b00773
Abstract: The identification of possible targets for a known bioactive compound is of the utmost importance for drug design and development. Molecular docking is one possible approach for in-silico protein target prediction, whereas a molecule is… read more here.
Keywords: scoring functions; target specific; target; target prediction ... See more keywords
Validation strategies for target prediction methods
Sign Up to like & getrecommendations! Published in 2020 at "Briefings in Bioinformatics"
DOI: 10.1093/bib/bbz026
Abstract: Abstract Computational methods for target prediction, based on molecular similarity and network-based approaches, machine learning, docking and others, have evolved as valuable and powerful tools to aid the challenging task of mode of action identification… read more here.
Keywords: validation; validation strategies; target prediction; performance ... See more keywords
Fifty years of research on takeover target prediction: a historical perspective
Sign Up to like & getrecommendations! Published in 2021 at "Qualitative Research in Financial Markets"
DOI: 10.1108/qrfm-08-2020-0169
Abstract: Purpose This paper aims to review prior studies and presents a synthesis of the takeover prediction literature spanning the period 1968–2018. Design/methodology/approach The paper adopts a narrative review approach. It explores prior studies on takeover… read more here.
Keywords: takeover target; target prediction; takeover; prediction ... See more keywords
Deep Learning-Based microRNA Target Prediction Using Experimental Negative Data
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3034681
Abstract: MicroRNAs (miRNAs) are small non-coding RNA molecules that control the function of their target messenger RNAs (mRNAs). As miRNAs regulate their target genes by binding them, investigating miRNAs is important to understand various biological processes.… read more here.
Keywords: target prediction; experimental negative; negative data; target ... See more keywords
A Supervised Ensemble Approach for Sensitive microRNA Target Prediction
Sign Up to like & getrecommendations! Published in 2020 at "IEEE/ACM Transactions on Computational Biology and Bioinformatics"
DOI: 10.1109/tcbb.2018.2858252
Abstract: MicroRNAs, a class of small non-coding RNAs, regulate important biological functions via post-transcriptional regulation of messenger RNAs (mRNAs). Despite rapid development in miRNA research, precise experimental methods to determine miRNA target interactions are still lacking.… read more here.
Keywords: target prediction; mml; math; approach ... See more keywords
sRNA Target Prediction Organizing Tool (SPOT) Integrates Computational and Experimental Data To Facilitate Functional Characterization of Bacterial Small RNAs
Sign Up to like & getrecommendations! Published in 2019 at "mSphere"
DOI: 10.1128/msphere.00561-18
Abstract: Small RNAs (sRNAs) regulate gene expression in diverse bacteria by interacting with mRNAs to change their structure, stability, or translation. Hundreds of sRNAs have been identified in bacteria, but characterization of their regulatory functions is… read more here.
Keywords: characterization; target prediction; srna target; spot ... See more keywords
The impact of various seed, accessibility and interaction constraints on sRNA target prediction- a systematic assessment
Sign Up to like & getrecommendations! Published in 2020 at "BMC Bioinformatics"
DOI: 10.1186/s12859-019-3143-4
Abstract: Background Seed and accessibility constraints are core features to enable highly accurate sRNA target screens based on RNA-RNA interaction prediction. Currently, available tools provide different (sets of) constraints and default parameter sets. Thus, it is… read more here.
Keywords: seed; srna target; target prediction; accessibility ... See more keywords
Determinants of Functional MicroRNA Targeting
Sign Up to like & getrecommendations! Published in 2023 at "Molecules and Cells"
DOI: 10.14348/molcells.2023.2157
Abstract: MicroRNAs (miRNAs) play cardinal roles in regulating biological pathways and processes, resulting in significant physiological effects. To understand the complex regulatory network of miRNAs, previous studies have utilized massive-scale datasets of miRNA targeting and attempted… read more here.
Keywords: mirna target; prediction accuracy; determinants functional; prediction ... See more keywords
Shedding Light on the Drug–Target Prediction of the Anti-Inflammatory Peptide TnP with Bioinformatics Tools
Sign Up to like & getrecommendations! Published in 2022 at "Pharmaceuticals"
DOI: 10.3390/ph15080994
Abstract: Peptide–protein interactions are involved in various fundamental cellular functions, and their identification is crucial for designing efficacious peptide therapeutics. Drug–target interactions can be inferred by in silico prediction using bioinformatics and computational tools. We patented… read more here.
Keywords: drug target; tnp; anti inflammatory; target prediction ... See more keywords