Human health

2-D chemical structure image-based in silico model to predict agonist activity for androgen receptor

2 monthes ago   |   By BMC Bioinformatics

Abnormal activation of human nuclear hormone receptors disrupts endocrine systems and thereby affects human health. There have been machine learning-based models to predict androgen receptor agonist activity. ...
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World Biotechnology Congress 2019

Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...

World Biotechnology Congress 2019

Hilaris Conferences is going to host its premier World Biotechnology Congress 2019 during October 01-02, 2019, Valencia, Spain. Biotechnology 2019 Congress aim to create a... Read more ...

2nd International Conference on Tissue Science and Regenerative Medicine

This conference is designed for experts in academia and industries working in the tissue science and regenerative field, this conference will examine cutting-edge research in... Read more ...

PacBio and Invitae Team Up to Develop Ultra-High-Throughput Clinical Whole...

PacBio and Invitae Team Up to Develop Ultra-High-Throughput Clinical Whole Genome Sequencing Platform

The power of PacBio HiFi reads has enabled transformative research into human disease. A new collaboration with Invitae, a leader in medical genetics, is intended to help... Read more ...

STAT: Businesses across the vaccine supply chain must work together to make...

STAT: Businesses across the vaccine supply chain must work together to make Covid-19 vaccines

Andrey Zarur, CEO of GreenLight Biosciences, writes for STAT about the vaccine supply chain and how we need to work together to make Covid-19 vaccines. Credit: LEON NEAL/GETTY... Read more ...

IAmScience Leland Cseke

IAmScience Leland Cseke

By Becca Wolf | Bond LSC In a cluttered basement in Dearborn, Michigan, one could find Leland Cseke conducting amateur plant tissue culture experiments on his family's pool... Read more ...

Study: X-Rays Surrounding ‘Magnificent 7' May Be Traces of Sought-After Particle

Study: X-Rays Surrounding ‘Magnificent 7' May Be Traces of Sought-After Particle

An artistic rendering of the XMM-Newton space telescope. A study of archival data from the XMM-Newton and the Chandra X-ray space telescopes found evidence of high levels of... Read more ...

MendelVar: gene prioritisation at GWAS loci using phenotypic enrichment of...

AbstractMotivationGene prioritisation at human GWAS loci is challenging due to linkage disequilibrium and long-range gene regulatory mechanisms. However, identifying the causal... Read more ...

A two-step approach to testing overall effect of gene-environment...

AbstractMotivationWhile gene-environment interactions contribute importantly to many different phenotypes, detecting such interactions requires well-powered studies and has... Read more ...

A network-based deep learning methodology for stratification of tumor mutations

AbstractMotivationTumor stratification has a wide range of biomedical and clinical applications, including diagnosis, prognosis and personalized treatment. However, cancer is... Read more ...

Recognition of small molecule-RNA binding sites using RNA sequence and structure

AbstractMotivationRNA molecules become attractive small-molecule drug targets to treat disease in recent years. Computer-aided drug design can be facilitated by detecting the... Read more ...

ShinyÉPICo: a graphical pipeline to analyze Illumina DNA methylation arrays

AbstractSummaryIllumina DNA methylation bead arrays provide a cost-effective platform for the simultaneous analysis of a high number of human samples. However, the analysis can... Read more ...

PC2P: Parameter-free network-based prediction of protein complexes

AbstractMotivationPrediction of protein complexes from protein-protein interaction networks is an important problem in systems biology, as they control different cellular... Read more ...