Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find...
Variabel, a novel approach and first method designed for rescuing low frequency intra-host variants from Oxford Nanopore Technologies (ONT) data alone. Details about...
A Perfect Trio of Crystallography, Cryo-EM and AlphaFold Reveals Information on...
A team led by Karolinska Institutet used artificial intelligence (AI) and structural biology to learn more about two related proteins that protect the urinary...
Scientists from the University of California Developed a Highly Accurate Algorithm...
A team of international researchers led by the University of California San Diego's Department of Computer Science and Engineering has demonstrated that the La...
Scientists at Garvan Institute Developed a Single Test for Over 50...
Garvan Institute researchers have demonstrated how new genomic sequencing technologies might help individuals with uncommon neurological and neuromuscular conditions avoid a "diagnostic odyssey."
- A...
A Unique Lysin Capable of Killing Multidrug-Resistant Bacteria Discovered by SMART...
Antimicrobial activity of novel lysin Abp013 against Acinetobacter baumannii and Klebsiella pneumoniae has been demonstrated.
Scientists from the Antimicrobial Resistance (AMR) Interdisciplinary Research Group at...
Scientists from the University of Oxford Published Covid-19 Multi-omic Blood Atlas...
In an integrated comparison with influenza and sepsis patients against healthy volunteers, the researchers show a complete multi-omic blood atlas for patients with different...
Different Bacteria Identified in Seconds with ‘Fingerprint’ Machine Learning Technique
A platform for separation-free detection of bacteria in arbitrary medium has been developed by the researchers from Korea Advanced Institute of Science and Technology...
Scientists from Princeton University Developed Artificial Intelligence Based Smartwatch App ‘CovidDeep’...
New software built by Princeton University researchers may determine whether someone is infected with COVID-19 in minutes by combining questions about a person's health...
Targeted Enzymes Knock Down Viral RNA
The team of researchers led by the Technical University of Munich (TUM) was able to destroy the genetic code of SARS-CoV-2 by using particular...
Scientists from Yale University Developed a New Data Analysis Tool ‘Multiscale...
Yale scientists report in the journal Nature Biotechnology this week that a novel data analysis technique they created has uncovered the particular immune cell...
Artificial Intelligence Algorithm Created for ‘Inverse Molecular Designing’ Determines Structure from...
According to recent research published in Nature Communications, a new AI algorithm creates novel compounds based on desired properties.
Researchers are searching for innovative chemicals...
Population-Based Analysis of Over 200,000 People Displays Strong Genetic Relationship with...
Researchers looked at data from over 200,000 people and discovered unusual genetic variations linked to diseases including diabetes and heart failure.
Last year, the UK...
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...
Must Read
Unlocking Chemical Space: TamGen’s Generative AI Approach for Target-Aware Molecule Generation in Drug Discovery
Novel compounds can be discovered in the wide chemical space due to generative drug design that enables one to develop molecules that are effective...
Exploring New Frontiers in SARS-CoV-2 Research with The Virtual Lab
When COVID-19 emerged as a global catastrophe, the scientists had only one goal: to come up with the possible treatments for the virus SARS-CoV-2,...
RhoFold+: Transforming RNA 3D Structure Prediction with Deep Learning
Although RNA 3D structures are important in understanding their functions and in the design of new drugs, their accurate prediction is still a challenge....
Unlocking the Secrets of RNA: How RNA-GPT is Transforming the Way We Explore and...
RNAs are crucial molecules that convey genetic information necessary for life, and they have a big impact on biotechnology and medicine development. However, the...
From Concept to Reality: Efficient Protein Pocket Design with PocketGen
Protein pockets have been an integral part of drug discovery for several years and are also targeted during the design of novel molecules. Pockets...