Fastest DNA Sequencing that Uses AI and Accelerated Computing Sets Guinness...
Stanford University researchers established the record in collaboration with NVIDIA, Oxford Nanopore Technologies, Google, Baylor College of Medicine, and the University of California, Santa...
Simulating Directed Evolution With A New Computational Tool
The researchers from Curtin University, Australia, and the University of Western Australia developed a system to carry out the complete process of directed evolution...
Entire Human Gut Mapped by Scientists at the Single-Cell Resolution
Scientists from the University of North Carolina School of Medicine, led by Scott Magness, Ph.D., sequenced the genes expressed in single cells from human...
Scientists Applied Machine Learning to Predict Therapeutic Response in Gastric Cancer
The researchers at the Mayo Clinic Cancer Center in Florida, in a recent study published in Nature Communications, validate the use of genetic sequencing...
Protein Structure of a Small Multidrug Resistance Transporter ‘EmrE’ Suggests the...
A new research reveals how a protein removes harmful chemicals from bacterial cells.
The structure of a protein that may pump hazardous chemicals out of...
Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance
Scientists from the Duke University with collaborators at the University of Connecticut are aiming to create novel enzyme inhibitors to combat Methicillin-resistant Staphylococcus aureus...
Determining How Proteins Identify Their Binding Partners Inside Cells
Scientists from MIT probed into how proteins recognize and bind to one another, informing drug treatments for cancer.
A single cell, despite its small size,...
INTEGRATE: A Computational Pipeline for Integrating Multi-Omics Data to Characterize Multi-Level...
Scientists at The University of Milan-Bicocca, Milan, Italy, have proposed INTEGRATE, a computational pipeline that incorporates metabolomics and transcriptomics data, by applying constraint-based stoichiometric...
Machine Learning and Artificial Intelligence Based Study Helps Understand How Brain...
Neurons are surprisingly complicated, for something so small, not only because there are billions of them in the brain but also because their function...
Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance...
The Researchers at The University of Chicago, Chicago, developed 24 binary classifiers of MTB drug resistance condition across eight anti-MTB drugs and three different...
Scientists Discovered a New Protein Group that Serves Critical Function in...
Researchers from Göttingen University have found a protein switch that controls enzymes in pathogens. An allosteric lysine–cysteine redox switch with a covalent NOS bridge...
Artificial Intelligence Based Chemotherapy Response Prediction for Better and Personalized Breast...
Scientists from the York University, Toronto, Canada, investigated a novel deep learning-based methodology to predict breast cancer response to neo-adjuvant chemotherapy (NAC) using the...
Image2SMILES – A Transformer Based Neural Network Model for Extracting Chemical...
The researchers from Syntelly — a startup that originated at Skoltech — Lomonosov Moscow State University, and Sirius University present a Transformer-based artificial neural...
Predicting Cell Fates and Genetic Perturbations with a New Computational Tool...
The researchers from MIT Cambridge, USA, and collaborators at the University of Pittsburgh School of Medicine, present DYNAMO - an analytical framework that infers...
Scientists Have Discovered a New Process Implicated in Learning and Memory
Researchers from the Rockefeller University, United States revealed that FMRP, a protein that has been linked to fragile X syndrome, intellectual impairment, and some...
Mapping the Development of Cell Types and Tissues
Researchers at Yale University, in collaboration with Karolinska Institutet in Stockholm, Sweden, have created a technology that allows them to look at epigenetic mechanisms...
COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning...
The researchers at Michigan State University in the United States used extensive structural datasets along with a refined and annotated collection of antiviral phytochemicals...
Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with...
Deep Docking (DD) is artificial intelligence (AI) driven method that provides very economical yet highly reliable access to ultra-large docking. It was developed by...
Cells Hosting HIV Tracked Using a Mathematical Model
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...
Top 7 Applications of Synthetic DNA in Information Technology
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...
Reassembling the Chromosomes of Earth’s First Creatures
According to the latest research published this week in the journal Science Advances, many modern marine invertebrates, such as sponges and jellyfish, contain chromosomes...
Interpreting Clinical Proteomics Data With A Knowledge Graph
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...
Network Based Computer Modeling Revealed Omicron’s Mechanism of Escaping Antibodies
According to a computational study carried out by researchers at MIT, several mutations in the virus' spike protein enable it to dodge antibodies that...
Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind...
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...
CellRank: A Tool for Directed Single-Cell Fate Mapping
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...
HyperAttentionDTI: Combining Sequence-Based Deep Learning with an Attention Mechanism for Drug-Protein...
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...
Simulation of a Living Cell Enabled with NVIDIA GPUs
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...
Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine...
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 New Sequencing Technique Developed for Low-Biomass, Degraded, or Contaminated Microbiome...
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)....
Safely Inserting Therapeutic Genes into the Human DNA
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...
Expanding the View of how Mutations Impact Cells with a High-throughput...
Scientists from the Broad Institute of MIT and Harvard discovered an approach to studying the functional implications of the millions of mutations linked to...
EMBL’s Scientists Modeled Molecular Complexes Inside Cells at Atomic Resolution Using...
To better comprehend the function of cells, scientists examine how different components of a cell – from single molecules to several organelles – work...
‘Valves in DNA’ Created to Shape the Flow of Biological Information
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...
‘Lab on a Chip’ for Measuring Protein-DNA Interactions
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...
Genome-Scale Protein Structure and Function Prediction with High-Performance Computing Toolkit
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...
Modeling Protein Fitness Using Evolutionary and Assay-Labeled Data
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...
iDIRECT – A Framework for Analyzing Network Interactions in Various...
Scientists from the University of Oklahoma and University of California at Berkeley have developed a framework iDIRECT (Inference of Direct and Indirect Relationships with...
Structure Modeling with a New Method Mapped 500 Previously Unsolved Proteins
Pathogens employ virulence factors called effectors, which are critical for their survival. Homology modeling is one of the most extensively used approaches; however, it...
The Earth BioGenome Project Steadily Started Sequencing Genomes
A worldwide endeavor to map the genomes of all life on Earth (plants, animals, fungi, and other microbes) is entering a new phase as...
Nanoantenna – The World’s Smallest Antenna Created Using DNA to Monitor...
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...
Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk...
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...
Metagenomics of Human Skin Microbiome Identifies New Bacteria and Viruses
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...
Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated...
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...
Multi-omics Data Visualization and Chromosomes Annotation with an R Package “ChromoMap”
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...
Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence
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...
Pregnancy Health and Preeclampsia Prediction Using RNA Sequencing from a Single...
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...
AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
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...
Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy
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...
Evaluating gene expression in single cells with a novel computational approach...
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...
spiralize: R package to visualize data on spirals
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...
Must Read
Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists
In the rapidly evolving field of single-cell biology, accurately identifying cell types from complex datasets remains a cornerstone of research. A team of scientists...
Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI
Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them...
Can Machine Learning Finally Crack the Protein Expression Code?
A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question...
AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function
Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable...
From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?
In modern biology, accurately simulating biomolecular interactions is a major difficulty. Our capacity to predict biomolecular complex structures has significantly improved with recent developments...