Microarray Selection of Cooperative Peptides for Modulating Enzyme Activities

Fu, Jinglin

doi:10.3390/microarrays6020008

Cited by 3 publications

(1 citation statement)

References 18 publications

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“…In other studies, microarrays have been used to select either cooperative or non-cooperative peptide pairs for modulating enzyme functions for use in both drug discovery and biocatalysis [147]. Specifically, new peptides promoting inhibition of the target enzyme are selected by jointly using them along with a primary inhibitory peptide.…”

Section: Microarrays and Drug Discovery For Various Other Pathologiesmentioning

confidence: 99%

Microarrays and NGS for Drug Discovery

Pop¹,

Zănoagă²,

Chiroi³

et al. 2021

Drug Design - Novel Advances in the Omics Field and Applications

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Novel technologies and state of the art platforms developed and launched over the last two decades such as microarrays, next-generation sequencing, and droplet PCR have provided the medical field many opportunities to generate and analyze big data from the human genome, particularly of genomes altered by different diseases like cancer, cardiovascular, diabetes and obesity. This knowledge further serves for either new drug discovery or drug repositioning. Designing drugs for specific mutations and genotypes will dramatically modify a patient’s response to treatment. Among other altered mechanisms, drug resistance is of concern, particularly when there is no response to cancer therapy. Once these new platforms for omics data are in place, available information will be used to pursue precision medicine and to establish new therapeutic guidelines. Target identification for new drugs is necessary, and it is of great benefit for critical cases where no alternatives are available. While mutational status is of highest importance as some mutations can be pathogenic, screening of known compounds in different preclinical models offer new and quick strategies to find alternative frameworks for treating more diseases with limited therapeutic options.

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Section: Microarrays and Drug Discovery For Various Other Pathologiesmentioning

confidence: 99%

Microarrays and NGS for Drug Discovery

Pop¹,

Zănoagă²,

Chiroi³

et al. 2021

Drug Design - Novel Advances in the Omics Field and Applications

View full text Add to dashboard Cite

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The role of peptide microarrays in biomedical research

2018

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Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides

Azim,

Balasubramanyam,

Islam

et al. 2024

Algorithms

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Enzymes play key roles in the biological functions of living organisms, which serve as catalysts to and regulate biochemical reaction pathways. Recent studies suggest that peptides are promising molecules for modulating enzyme function due to their advantages in large chemical diversity and well-established methods for library synthesis. Experimental approaches to identify protein-binding peptides are time-consuming and costly. Hence, there is a demand to develop a fast and accurate computational approach to tackle this problem. Another challenge in developing a computational approach is the lack of a large and reliable dataset. In this study, we develop a new machine learning approach called PepBind-SVM to predict protein-binding peptides. To build this model, we extract different sequential and physicochemical features from peptides and use a Support Vector Machine (SVM) as the classification technique. We train this model on the dataset that we also introduce in this study. PepBind-SVM achieves 92.1% prediction accuracy, outperforming other classifiers at predicting protein-binding peptides.

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Microarray Selection of Cooperative Peptides for Modulating Enzyme Activities

Cited by 3 publications

References 18 publications

Microarrays and NGS for Drug Discovery

Microarrays and NGS for Drug Discovery

The role of peptide microarrays in biomedical research

Explainable Machine Learning Model to Accurately Predict Protein-Binding Peptides

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