A new study reveals the lifespans and locations of the cells that produce HIV and delay the virus’s elimination. Scientists may be able to discover new strategies to lower the number of cells in the future, with the ultimate objective of curing HIV infection, if they can better understand the dynamics of the cells. “When…
Synthetic DNA is becoming a popular alternative to electronic-based technology in areas including data storage, product tagging, and signal processing, etc. To date, DNA has shown to be the ideal material for use in information technology. Watson–Crick base pairing is a fundamental feature of nucleic acids that provides the foundation for various DNA handling methods,…
According to the latest research published this week in the journal Science Advances, many modern marine invertebrates, such as sponges and jellyfish, contain chromosomes with the same old structure acquired from their primordial ancestors more than 600 million years ago. The surprising discovery serves as a reminder that evolution is conservative, keeping things that operate…
Researchers at the University of Copenhagen, Denmark, introduce the Clinical Knowledge Graph (CKG), an open-source platform with about 20 million nodes and 220 million relationships representing relevant experimental data, public databases, and literature. Evidence-based precision medicine has grown to include a more thorough examination of disease characteristics. This necessitates the seamless integration of a wide…
According to a computational study carried out by researchers at MIT, several mutations in the virus’ spike protein enable it to dodge antibodies that target SARS-CoV-2. A new study published in the journal Cell Reports Medicine shows that the Omicron variant’s spike protein has dozens of mutations that let it elude all four types of…
Researchers from MIT have developed a machine-learning model that can predict how two proteins bind, not in hours or minutes but just in a few seconds. Scientists may be able to use this machine-learning model to speed up the development of new drugs. Antibodies, which are small proteins generated by the immune system, can bind…
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 unclear, such as regeneration, reprogramming, and disease. During numerous biological processes, cells go through state transitions in a highly asynchronous manner. Single-cell RNA sequencing (scRNA-seq) successfully captures the heterogeneity that comes…
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 predicting drug-target interactions. In today’s world of biomedicine, drug discovery and repurposing are highly valued. Drug–target interactions (DTIs) are an essential part of drug discovery and repurposing. However, finding DTIs in…
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 cell. Researchers present a whole-cell fully dynamical kinetic model that replicates the physical and chemical characteristics at a particle scale of a minimal living cell-JCVI-syn3A. The study of the simplest living…
A team of scientists led by a former University of British Columbia (UBC) postdoctoral researcher in medical genetics discovered over ten times the number of RNA viruses previously thought to exist, including many novel coronavirus species. By re-analyzing all publicly accessible RNA sequencing data, the researchers were able to make the finding. They established a…
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). It allows high-resolution disclosure of a microbiome’s whole ‘landscape’ of species, even from low-biomass, damaged, or polluted samples. The ‘microbiome‘ is referred to a community of microorganisms (bacteria, fungi, protists, and…
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 and cell treatments safer, more efficient, more predictable. According to the researchers, “genomic safe harbors (GSHs)” could enhance the efficacy, persistence, and predictability of future gene and cell therapies that are…
Scientists from the Broad Institute of MIT and Harvard discovered an approach to studying the functional implications of the millions of mutations linked to cancer by pooling Perturb-seq and measuring the impact of TP53 and KRAS variants on RNA profiles in single cancer cells. Precision medicine entails predicting how specific genetic variants affect a patient’s…
To better comprehend the function of cells, scientists examine how different components of a cell – from single molecules to several organelles – work in synchronization. They studied individual molecules using classic structural biology tools, honing individual atoms. However, this method yields only static photographs of molecules in most circumstances. Instead, the scientists used cryo-electron…
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 into how information is encoded in DNA and new tools for developing sustainable biotechnologies, in the research published in the journal Nature Communications. Transcriptional terminators tell RNA polymerases (RNAPs) when…
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 control single molecules using light to study biological systems. In a paper published in Nature Communications, Michelle Wang, the James Gilbert White Distinguished Professor in Physical Sciences in the College of…
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 deep learning technologies (Google’s DeepMind) to anticipate the structures and functions of an organism’s whole proteome. The deep learning-based algorithms developed by the team predict protein structure and function from DNA…
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 term that includes a wide range of protein properties, such as stability, enzyme activity, and ligand binding. Models of protein fitness based on machine learning typically learn from either unlabeled,…
Scientists from the University of Oklahoma and University of California at Berkeley have developed a framework iDIRECT (Inference of Direct and Indirect Relationships with Effective Copula-based Transitivity) for disentangling direct and indirect relationships in association networks. Despite the importance of networks in understanding the behavior and features of complex systems, recreating networks from large-scale experimental…
Pathogens employ virulence factors called effectors, which are critical for their survival. Homology modeling is one of the most extensively used approaches; however, it necessitates the usage of templates of solved effector structures, and solving all of them is far too difficult. There are just too many effector proteins encoded in pathogen genomes for each…
A worldwide endeavor to map the genomes of all life on Earth (plants, animals, fungi, and other microbes) is entering a new phase as it proceeds from pilot studies to full-scale production sequencing. The Earth BioGenome Project (EBP) has entered a new phase, as evidenced by a group of articles published this week in Proceedings…
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 typically 20,000 times smaller than human hair. A new DNA-based fluorescent nanoantenna will monitor the structural change of proteins over time. Results may go a long way to helping scientists better…
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 attack in standard clinical practice is difficult. Cardiovascular risk factors and scores are commonly used to predict the chance of a heart attack, especially in individuals with suspected coronary artery…
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 is essential for skin health and illness, and studying its makeup might help us better understand skin-related diseases. Researchers employed metagenomics to create new human skin microbiome reference genomes. Data…
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 molecules. Scientists from Skoltech’s iMolecule group have created an artificial intelligence-driven approach, “BiteNetN,” to identify sites on the structures of DNA or RNA molecules where drug compounds may bind. The drug-binding…
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 for any genome assembly. ChromoMap provides customizable displays that allow for the comparison of data individually connected with each strand of a specific chromosome, as well as homologous chromosomes of any…
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 the audio file data, including respiratory sound records from healthy and asthmatic patients. The AI-based method developed for bronchial asthma diagnostics predicts with a high accuracy rate: “sensitivity of 89.3%, specificity…
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 that necessitates significant changes in maternal physiology that are currently unknown. Due to ethical limitations, research into human pregnancy is limited, and existing animal models are of little utility. Pre-eclampsia…
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 fly’s brain cells. The researchers utilized deep learning to discover how certain sections of DNA influence neuronal identity from birth to adulthood. The Nature study will likely boost AI-driven biomedical research,…
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 Centre have created novel methods for seeing DNA repair in detail, using machine learning and high-throughput microscopy, and have discovered new repair proteins. The results might open the path for…
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 have discovered new potential therapeutic targets to treat atherosclerosis and coronary artery disease. The research will assist other scientists in evaluating single-cell genetic data more efficiently as a result of this…
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 may be used to reveal recurring patterns. spiralize is an R package that offers a generic solution for displaying data on spirals. It has many graphics functions that allow users to…
Antibodies have been found that neutralize Omicron and other coronavirus strains by targeting areas that stay largely unchanged as the virus mutates have been discovered. The findings, published in the journal Nature, might aid in the development of vaccines and antibody therapies that are effective not only against Omicron but also against additional variants that…
A newly introduced technique takes bioprinting -; where the ink of cells does printing, layer by layer, forming a structure -; to a whole new and icy level. “Cryobioprinting” is a process that employs bioink embedded in cells to print intricate frozen structures that may be readily stored for later use, according to researchers at…
Interpreting gene expression from the DNA sequence is one of the most challenging problems in genome biology. Decoding DNA sequence with the help of “Artificial Intelligence” to predict phenotypes from molecular to organismal level is needed in the next phase of genome biology research. Google’s DeepMind in collaboration with Alphabet’s Calico have introduced neural network…
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, US. According to researchers from Japan and the United States, an important biochemical pathway connected to an immune complex termed MHC class I is knocked out by SARS-CoV-2 in order to…
| Cookie | Duration | Description |
|---|---|---|
| cookielawinfo-checkbox-analytics | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics". |
| cookielawinfo-checkbox-functional | 11 months | The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional". |
| cookielawinfo-checkbox-necessary | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary". |
| cookielawinfo-checkbox-others | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other. |
| cookielawinfo-checkbox-performance | 11 months | This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance". |
| viewed_cookie_policy | 11 months | The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data. |
