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Screening and introduction of key cell cycle microRNAs deregulated in colorectal cancer by integrated bioinformatics analysis

Chemical Biology and Drug Design

Our data imply that a precise selection of bioinformatics tools can facilitate the identification of miRNAs that impact mRNA translation at different stages of the cell cycle. The ability of these six miRNAs to impact the cell cycle in colorectal cancer may be concluded.

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AI in Drug Discovery - A Highly Opinionated Literature Review (Part III)

Practical Cheminformatics

Following up on Part I and Part II, the third post in this series is a collection of review articles published in 2023 that I found helpful.

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The first major set of genetic associations found in long COVID

Drug Target Review

The article mentions that TLR4 antagonists have been identified as potential candidates for repurposing long COVID treatment. We also identified the genes ATP9A and INSR in long COVID that we had hypothesised contributes to dysregulated insulin signalling in subgroups of ME/CFS patients.

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ANKRD22 promotes M2 polarization in lung adenocarcinoma macrophages via the glycolytic pathway

Chemical Biology and Drug Design

The expression of ANKRD22 in LUAD and its enriched pathway were analyzed by bioinformatics analysis. Bioinformatics analysis, qRT-PCR, and western blot showed that ANKRD22 was highly expressed in LUAD, which had a positive connection with M2 marker genes. Mitochondrial membrane potential was assessed using the JC-1 probe.

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Not all neoantigens are created equal

Drug Target Review

Recent advances in bioinformatics show clonal neoantigens are the best targets for immunotherapy, as I will elucidate below. Using powerful bioinformatics technology developed and validated with sequence data from the TRACERx study, researchers are able to identify clonal neoantigens from a patient’s unique tumour profile.

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Molecular targets of metformin against ovarian cancer based on network pharmacology

Chemical Biology and Drug Design

Pharmacodynamic targets of metformin were predicted using the Bioinformatics Analysis Tool for the molecular mechanism of traditional Chinese medicine (BATMAN), Drugbank, PharmMapper, SwissTargetPrediction, and TargetNet databases.

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IGF2BP3 loss inhibits cell progression by upregulating has_circRNA_103820, and hsa_circRNA_103820?encoded peptide inhibits cell progression by inactivating the AKT pathway in lung cancer

Chemical Biology and Drug Design

Moreover, bioinformatics analysis has suggested that hsa_circRNA_103820 possesses potential peptide-coding ability. Abstract N6-methyladenosine (m6A) modification and m6A-related RNA-binding proteins (RBPs) play vital roles in various aspects of circRNA metabolism.