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A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions

A deep learning-based method for predicting the biophysical and biochemical features of protein-ligand complexes developed by researchers could help discover new drug candidates. Scientists formulate...

SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility

The National Institutes of Health's discovery could lead to new approaches to tackle future SARS-CoV-2 variants. According to a study by experts at the National...

Impact of Antibiotics on the Evolution of Gut Microbiome and Antimicrobial Resistance

Following a single antibiotic course, the researchers discover how gut commensals acquire antimicrobial resistance genes (ARGs). According to the researchers, a single round of...

Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease

Scientists from the University of Helsinki, Broad Institute, and Harvard Medical School have revealed the human genetic epidemiology of the COVID-19 disease caused by...

Top 10 Applications of Artificial Intelligence in Health Care in 2022 and Beyond

The health care industry has always been one of the leaders in using technology to make lives better and more efficient. Artificial intelligence (AI)...

A Smartphone App for Screening Neurological Disease at Home

The RGB selfie camera and the front-facing near-infrared camera equipped for facial recognition can be used to capture an image of the eye. The...

Deep Neural Network Based 3D Reconstruction of Cellular Images to Track Real-Time Response of Tissues to Cancer Therapy

Microscopic imagers may be used in oncology to track and observe cell motions and dynamics, indicating tissues' real-time response to therapy. Scientists from the Department...

Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful Drugs

The widespread use of computational waste-to-value algorithms can speed up the productive reuse of chemicals that would otherwise incur storage or disposal expenses or...

‘SINATRA Pro’ a Computational Pipeline for the Discovery of Biophysical Signatures in Protein Dynamics

A group of scientists jointly proposed SINATRA Pro, a computational system for the extraction of key structural features between two sets of proteins. SINATRA...

​​Scientists Engineered a New Tool to Precisely Switch Gene Expression ‘On’ and ‘Off’

Scientists have developed a new approach for harnessing electrical signals to turn genes on and off. A team led by Imperial College London experts has...

A Systems Genomics Approach to Identify Hidden Genetic Connections for Precision Medicine

A new precision medicine tool 'iSNP' uncovers hidden genetic links that could enhance IBD and other difficult illnesses treatment. A group of scientists and clinicians...

Repurposing FDA Approved Asthma Drug to Block Crucial SARS-CoV-2 Protein

In a new study by scientists from the Indian Institute of Science (IISc), repurposing a drug used to treat asthma and allergies has been...

Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies

An expert scientist affiliated with the Center for Discovery and Innovation and a colleague from Harvard T.H. Chan School of Public Health discussed the...

Scientists from Scripps Research Developed a New Technique ‘CATCH’ to Pinpoint Where Drug Molecules Hit Their Targets in the Body

The new approach, developed by Scripps Research experts, has the potential to speed up the development of numerous novel drugs. Scripps Research scientists have developed...

Scientists Discover a Sensitive Blood Test to Determine if a Pre-Cancerous Condition is Progressing to Malignancy

A test developed by OHSU researchers could help doctors treat cancer earlier when it's more likely to be cured. Scientists discover plasma cell-free RNA profiling,...

Scientists Develop a Machine Learning Model to Predict the Evolution of an Epidemic Accurately

Machine learning algorithms can provide precise forecasting of virus propagation during pandemics. This method eliminates human bias and assumptions, allowing for a more accurate...

FDA-Approved Drugs Repurposing for Treating Alzheimer’s Disease using Hierarchical Cluster Analysis of Behavioral Profiles

Scientists from Brown University identified the novel usage of FDA-approved drugs by cluster analysis of behavioral profiles for the treatment of neurodegenerative disorders by...

Artificial Intelligence Enables Physicians to Better Evaluate the Effectiveness of Bladder Cancer Treatment

Consultation with a machine learning tool helped providers determine more accurately whether patients had a complete response to chemotherapy. Scientists from the University of Michigan...

‘BioCRNpyler’ – A Python Package to Build, Manage and Explore Intricate Biochemical Models

Scientists from the California Institute of Technology, United States, have developed a python package, 'BioCRNpyler', to build, manage, and explore intricate biochemical models. BioCRNpyler...

Scientists Identify New Factors that Can Predict Breast Cancer Recurrence

Scientists at Georgetown Lombardi Comprehensive Cancer Center have uncovered genetics and other characteristics that can predict if a woman is at risk of breast...

Scientists Develop a Deep Learning Model ‘CAESAR’ to Connect High-Resolution 3-Dimensional Chromatin Organization With Epigenomics

Researchers from the University of Michigan, USA, developed a deep learning model, CAESAR (Chromosomal structure And EpigenomicS AnalyzeR), to predict nucleosome-resolution 3D chromatin contact...

Single Cell RNA Sequencing Determines 16 Distinct Cell Populations in a Key Brain Area for Substance Use Disorders

The University of Alabama in Birmingham researchers have found 16 unique cell populations in a complex part of the midbrain known as the ventral...

Scientists Analyze the Promising Role of Prostate Cancer’s New Molecular Biomarkers: From Coding and Non-Coding Genes to Artificial Intelligence Techniques

The scientists from Unidad de Investigación Biomédica en Cáncer, México, looked at numerous facets of prostate cancer, including new molecular markers linked to diagnosis,...

Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes

Antibiotic-degrading microbes could help avoid opportunistic infections and reduce antibiotic resistance. Antibiotic-induced changes in the gut microbiota have been linked to a variety of metabolic...

Protein Function and Properties Characterization Using Language Models

In recent years, deep learning algorithms have shown promise in identifying protein function and extracting complex sequence-structure-function correlations.  Scientists from Middle East Technical University and...

DGCyTOF: Deep Learning with Graphic Cluster Visualisation Model for Predicting Cell Types from Single-Cell Mass Cytometry Data

Researchers from The Ohio State University utilized deep-learning classification and hierarchical stable-clustering approaches to predict cell types from single-cell mass cytometry data. The DGCyTOF...

First Cell Transcriptomic Atlas of a Non-Human Primate Completed by an International Team Led by BGI

Researchers from BGI-Research, in collaboration with scientific research teams from China, Germany, Italy, Singapore, Spain, Sweden, and the United Kingdom, published the world's first...

Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms 

The World Health Organization (WHO) appraises that 700,000 individuals now die yearly because of antibiotic resistance and anticipates that this number will surpass 10...

The Reproducibility Crisis – Robot Scientist ‘Eve’ Finds a Lack of Reproducibility in the Breast Cancer Literature

Scientists from the University of Cambridge have used a medley of automated text analysis and the 'robot scientist - Eve' to semi-automate the procedure...

Glyco-Decipher – A New Glycoproteomics Analysis Tool for Sensitive Deciphering of Protein Glycosylation

A team of scientists led by Prof. YE Mingliang from the Dalian Institute of Chemical Physics (DICP) of the Chinese Academy of Sciences (CAS)...

IBM Scientists Introduce Principles of Synaptic Integration in the Development of Deep Neural Networks

The IBM Research - Zurich, scientists proposed a novel biologically-inspired optimizer for artificial and spiking neural networks that consolidate key standards of synaptic plasticity...

A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified by Scientists

To estimate cell-to-cell heterogeneity in non-Markovian signaling systems, mathematicians from The Korea Advanced Institute of Science and Technology (KAIST) and Institute for Basic Science...

Vanderbilt University Researchers have Developed a Novel Method to Target Potentially Undiscovered Beneficial Therapeutic Chemicals

A project coordinated by a group of researchers from the Eichman lab and the Evolutionary Studies Initiative on the research of chemical compounds produced...

Scientists Revealed the First Complete, Gapless Human Genome Sequence ‘T2T-CHM13’

An international group of scientists has finally published the whole human genome sequence. The new reference genome fills in gaps left by previous versions,...

Tiny Bacterial Nonribosomal Peptide Synthetases Could Aid in the Development of Novel Medicines

Researchers from McGill University collaborated with the Canadian Light Source (CLS) at the University of Saskatchewan to unlock the full potential of small biological...

Scientists Developed a New Improved Prime Editor in Plants to Produce Resistant and Improved Crops

Scientists from GAO Caixia's team at the Chinese Academy of Sciences' Institute of Genetics and Developmental Biology (IGDB) with collaborators have introduced Engineered Plant...

A Deep Learning Model ‘Af2complex’ for Predicting Protein Complex Structures and Protein-Protein Interactions

Scientists from the Center for the Study of Systems Biology, Atlanta, in collaboration with Georgia Institute of Technology, Atlanta, and Oak Ridge National Laboratory,...

Scientists Discover the Landscape of Receptor-Mediated Precision Cancer Combination Therapy through a Single-Cell Perspective

Scientists from the National Cancer Institute, Bethesda, and the University of Maryland have developed a computational tool to determine gene-target combinations for personalized cancer...

A New Tool ‘FORALL’ for Profiling Multi-Omics and Drug Response in Childhood Acute Lymphoblastic Leukemia

In a report published in Nature Communications, researchers from the Department of Oncology-Pathology at Karolinska Institutet, Sweden established a cell line resource dataset and...

Scientists Design a Whole-Genome Risk Prediction of Common Diseases in the Human Preimplantation Embryos

Preimplantation genetic testing (PGT) of embryos fertilized in-vitro has been proposed as a strategy to diminish transmission of common diseases; in any case, a...

Scientists Discovered ‘Junk DNA’ as the Key to Controlling Fear

Scientists from the University of Queensland found, a bit of "junk DNA" could be the key to eradicating fear-related memories in persons suffering from...

Scientists Developed a Computational Tool ‘CellTrek’ for Spatial Mapping of Single-Cell Data Within Tissues

'CellTrek' can accurately map single cells in diverse tissue types to resolve their spatial organization. The tool identifies the location of particular cell types...

Scientists Found a New Pathway Through Which Tumor Cells Transfer Genetic Material to Other Cells in Their Microenvironment, Leading Cancer to Spread

Crislyn D'Souza-Schorey, the Morris Pollard Professor in the Department of Biological Sciences, and collaborators discovered that DNA "cargo" is transported in tiny informational sacs...

Scientists Developed an Algorithm for Biometric Identification of People By their Heartbeat

According to a study undertaken by the Universidad Carlos III de Madrid (UC3M) and the Shahid Rajaee Teacher Training University of Iran, the heartbeat...

Scientists Develop a Model to Show How Antibodies Move Like a Playing Child While Navigating Pathogen Surfaces

A new study reveals how antibodies choose which antigens to bind to while navigating the surface of pathogens such as coronaviruses. Scientists from KTH...

Advanced Algorithm REMI for Reconstruction of Codependent Cellular Interactions in Lung Adenocarcinoma

Stanford University researchers have created a graph-based algorithm for reconstructing interactomes and identifying clinically important cell-cell interactions. The algorithm can be used to create...

Scientists Developed a Hybrid Machine Learning/Deep Learning Based Covid-19 Severity Prediction Model to Support Clinical Decision Making

Scientists from Fondazione Poliambulanza Istituto Ospedaliero, Italy, developed a hybrid machine learning/deep learning model to classify patients in two outcome categories, non-ICU, and ICU....

Scientists from the University of Helsinki Developed a Computational Platform ‘ScType’ for Fully Automated and Super Quick Identification of Cell-Type

The researchers developed a computational platform ScType, which empowers a completely mechanized and super quick cell-type distinguishing proof-dependent exclusively upon given scRNA-seq information, alongside...

Computer Scientists from Rice University Develop a Program ‘Variabel’ to Find ‘Low-Frequency’ Variants in Sequence Data

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 Important Human Antibacterial Proteins

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 ‘La Jolla Assembler (LJA)’ to Scale-up Complete Genome Assembly

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 Genetic Diseases, Cutting Diagnosis Time from Decades to Days

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 Researchers

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 (COMBAT) that Identifies Illness Severity and Specificity Markers

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’ for COVID-19 Detection

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 PHATE’ that Reveals Significant Covid-19 Clues

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 Function

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 Multiple Cardiometabolic Diseases and Traits

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 World Record For Completing DNA Sequencing in Just Five Hours and Two Minutes

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 Drug-Resistance Mechanism

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 Metabolic Regulation

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 Cells Work

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 from Genomic Sequence Data

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 Nature

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 Cancer Treatment

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 Formulas From Research Papers

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 – ‘Dynamo’

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 Enabled Binder Prediction

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 Artificial Intelligence Enabled ‘Deep Docking’

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 in Real-Time

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 Helmholtz Centre Munich, Germany, provide CellRank, a method for single-cell fate mapping in a variety of circumstances where the direction is unclear,...

HyperAttentionDTI: Combining Sequence-Based Deep Learning with an Attention Mechanism for Drug-Protein Interaction Prediction

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 metabolises and grows like a biological...

Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine New Coronavirus Species

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 Samples

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 Approach ‘Perturb-seq’

Scientists from Broad Institute of MIT and Harvard, discovered an approach to study functional implications of the millions of mutations linked to cancer by...

EMBL’s Scientists Modeled Molecular Complexes Inside Cells at Atomic Resolution Using Modern Software and Cryo-electron Tomography

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...

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 Complex Biological Systems

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 Protein Movement

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...

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