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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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Optimizing OpenFold Training for Drug Discovery

Nvidia Developer: Drug Discovery

Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. Predicting 3D protein structures from amino acid sequences has been an important long-standing question in bioinformatics. In recent years, deep.

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A Case Study of Addgene Bioinformatics

addgene Blog

Last summer, we posted about our bioinformatics quest , which led us to Seqera Labs , a company that provides open source workflow orchestration software for data pipeline processing (Nextflow), cloud infrastructure, and secure collaboration.

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

Practical Cheminformatics

Property Prediction Machine Learning Methods for Small Data Challenges in Molecular Science [link] Practical guidelines for the use of gradient boosting for molecular property prediction [link] Application of message passing neural networks for molecular property prediction [link] Molecular Similarity Molecular Similarity: Theory, Applications, and (..)

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The first major set of genetic associations found in long COVID

Drug Target Review

About the author Dr Sayoni Das SVP Bioinformatics at PrecisionLife Sayoni leads the research and development of bioinformatics pipelines that generate biological insights from PrecisionLife’s core technology and support drug discovery programmes.

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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.