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   Articles with "target prediction" as a keyword



Multi-target prediction: a unifying view on problems and methods

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recommendations! 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

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recommendations! 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

Target prediction of potential candidate miRNAs from Oryza sativa to silence the Pyricularia oryzae genome in rice blast

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recommendations! Published in 2024 at "Scientific Reports"

DOI: 10.1038/s41598-024-72608-4

Abstract: Rice (Oryza sativa) is a staple food for billions of people across the globe, that feeds nearly three-quarters of the human population on Earth, particularly in Asian countries. Rice yield has been drastically reduced and… read more here.

Keywords: mirnas oryza; rice; target prediction; target ... See more keywords

In silico ADME and target prediction studies of Alogliptin as drug molecule

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recommendations! Published in 2024 at "Drug Metabolism Reviews"

DOI: 10.1080/03602532.2024.2439102

Abstract: Abstract Alogliptin is an oral hypoglycemic agent selective inhibitor of the dipeptidyl peptidase-4 (DPP-4) enzyme. Inhibition of DPP-4 increases the levels of the incretin hormones glucagon-like peptide 1 (GLP-1) and glucose-dependent insulinotropic polypeptide (GIP) by… read more here.

Keywords: drug; prediction; target prediction; silico adme ... See more keywords

Validation guidelines for drug-target prediction methods

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recommendations! Published in 2024 at "Expert Opinion on Drug Discovery"

DOI: 10.1080/17460441.2024.2430955

Abstract: ABSTRACT Introduction Mapping the interactions between pharmaceutical compounds and their molecular targets is a fundamental aspect of drug discovery and repurposing. Drug-target interactions are important for elucidating mechanisms of action and optimizing drug efficacy and… read more here.

Keywords: drug; validation; drug target; target prediction ... See more keywords

Validation strategies for target prediction methods

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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

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recommendations! 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