Researchers from the Helmholtz Centre Munich, Germany, provide CellRank, a method for single-cell fate mapping in a variety of circumstances where the direction is...
Researchers of Central South University, Changsha proposed an end-to-end bio-inspired model based on the convolutional neural network (CNN) and attention mechanism, named HyperAttentionDTI, for...
GPU-accelerated software developed by the researchers at the University of Illinois at Urbana-Champaign simulates a 2-billion-atom cell that metabolizes and grows like a biological...
A team of scientists led by a former University of British Columbia (UBC) postdoctoral researcher in medical genetics discovered over ten times the number...
A low-cost metagenome sequencing technology has been developed by scientists from the Chinese Academy of Sciences' Qingdao Institute of Bioenergy and Bioprocess Technology (QIBEBT)....
Researchers from Harvard's Wyss Institute, Harvard Medical School, and the ETH Zurich have predicted and validated genetic safe harbors for therapeutic genes, making gene...
Scientists from the Broad Institute of MIT and Harvard discovered an approach to studying the functional implications of the millions of mutations linked to...
To better comprehend the function of cells, scientists examine how different components of a cell – from single molecules to several organelles – work...
New biological components developed by scientists at the University of Bristol can alter the flow of cellular activities along DNA.
The scientists provide new insights...
Cornell researchers have invented new nanophotonic tweezers that can fit on a smaller than one-inch square chip, making it easier and more efficient to...
A group of scientists from the Department of Energy's Oak Ridge National Laboratory (ORNL) and the Georgia Institute of Technology applied supercomputing and new...
Scientists from the University of California, Berkeley have developed a machine learning-based model that predicts protein fitness from the sequence.
Protein fitness is a broad...
Scientists from the University of Oklahoma and University of California at Berkeley have developed a framework iDIRECT (Inference of Direct and Indirect Relationships with...
Pathogens employ virulence factors called effectors, which are critical for their survival. Homology modeling is one of the most extensively used approaches; however, it...
A new DNA-based fluorescent nanoantenna is created by getting inspired by the ‘Lego-like’ properties of DNA. The building blocks of the new nanoantenna are...
The PET/CT artificial intelligence model performed better than clinical data in predicting heart attack risk in individuals with established coronary artery disease.
Predicting a heart...
Scientists from EMBL-EBI, NIH, NHGRI, and collaborators have discovered new micro-organisms (bacterial, fungal species, and viruses) in the human skin microbiome.
The human skin microbiome...
Targeting nucleic acid macromolecules, particularly RNA, for structure-based drug design (SBDD) is gaining research attention as it resulted in several FDA-approved compounds targeting RNA...
ChromoMap is a fast and easy-to-use tool for visualizing genomic elements and related data (such as multi-omics data) in relation to their chromosome-by-chromosome occurrence...
Scientists from Ben-Gurion University, Israel, have developed a method for computer-aided diagnostics of bronchial asthma based on machine learning. The model is trained using...
Using cell-free RNA (cfRNA), researchers discovered gene expression patterns linked to a healthy pregnancy.
Conception to birth is a fast-paced period of growth and development...
The research published in Nature combines single-cell technologies and artificial intelligence (AI) to create a new picture of gene regulation in all the fruit...
Machine learning may aid in repairing genetic damage and avoiding DNA mutations and chronic diseases.
Scientists from Massachusetts General Hospital and the National Cancer Research...
By inventing and deploying a novel single-cell sequencing technique that potentially improves upon those already in use, researchers at the University of Chicago Medicine...
For data visualization, the spiral arrangement offers two significant advantages. Firstly, data with long axes can be visualized, enhancing visualization resolution. Secondly, time-series data...
Antibodies have been found that neutralize Omicron and other coronavirus strains by targeting areas that stay largely unchanged as the virus mutates have been...
Interpreting gene expression from the DNA sequence is one of the most challenging problems in genome biology. Decoding DNA sequence with the help of...
The mechanism used by SARS-CoV-2 to escape the host immune system has been revealed by scientists from Hokkaido University, Japan and Texas A&M University,...
Single-cell RNA sequencing (scRNA-seq), a rapidly developing field of RNA sequencing of single cells, has recently made a breakthrough that could revolutionize cell type...
AI is being used to find novel antibiotics for bacteria resistant to pandemics; however, the currently used techniques have serious drawbacks. While generative models...
The main obstacle in protein engineering is the lack of diversity in training data, which makes it difficult to create high-performance enzyme variations with...
The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in...
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