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Scientists Have Discovered a New Process of Learning and Memory

Scientists Have Discovered a New Process Implicated in Learning and Memory

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Researchers from the Rockefeller University, United States revealed that FMRP, a protein that has been linked to fragile X syndrome, intellectual impairment, and some...
Examples of Spatial Mapping of Histone Modifications

Mapping the Development of Cell Types and Tissues

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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

COVID-19 Phytochemical Drug Discovery with High-Resolution Computational Docking and Machine Learning...

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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'

Virtual Screening of Ultra-Large Chemical Libraries Accelerated up to 100-Fold with...

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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...
Scanning electron micrograph of HIV-1

Cells Hosting HIV Tracked Using a Mathematical Model

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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...
Synthetic DNA

Top 7 Applications of Synthetic DNA in Information Technology

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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...
Rhopilema_esculentum_MBA750px

Reassembling the Chromosomes of Earth’s First Creatures

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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 (CKG)

Interpreting Clinical Proteomics Data With A Knowledge Graph

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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...
Omicron’s Mechanism of Escaping Antibodies Revealed

Network Based Computer Modeling Revealed Omicron’s Mechanism of Escaping Antibodies

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According to a computational study carried out by researchers at MIT, several mutations in the virus' spike protein enable it to dodge antibodies that...
MIT_Protein-Docking-01-PRESS_0

Artificial Intelligence Model Predicts in Seconds How Two Proteins Will Bind...

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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

CellRank: A Tool for Directed Single-Cell Fate Mapping

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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...
Medicine capsules global health with geometric pattern digital r

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

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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

Simulation of a Living Cell Enabled with NVIDIA GPUs

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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...
New RNA viruses

Cloud Computing Helps Researchers Identify Over 100,000 RNA Viruses Including Nine...

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A team of scientists led by a former University of British Columbia (UBC) postdoctoral researcher in medical genetics discovered over ten times the number...
New Technique for Microbiome Sequencing

A New Sequencing Technique Developed for Low-Biomass, Degraded, or Contaminated Microbiome...

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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)....
landing-therapeutic-genes

Safely Inserting Therapeutic Genes into the Human DNA

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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...
Perturb-seq for mutations in single cancer cell

Expanding the View of how Mutations Impact Cells with a High-throughput...

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Scientists from the Broad Institute of MIT and Harvard discovered an approach to studying the functional implications of the millions of mutations linked to...
NPC-journey-thumbnail1000x600

EMBL’s Scientists Modeled Molecular Complexes Inside Cells at Atomic Resolution Using...

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To better comprehend the function of cells, scientists examine how different components of a cell – from single molecules to several organelles – work...
DNA valve controlling molecular processes along DNA

‘Valves in DNA’ Created to Shape the Flow of Biological Information

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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

‘Lab on a Chip’ for Measuring Protein-DNA Interactions

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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...
Scientists applied supercomputing and new deep learning technologies for Genome-Scale Protein Structure and Function Prediction.

Genome-Scale Protein Structure and Function Prediction with High-Performance Computing Toolkit

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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...
Modeing Protein Fitness

Modeling Protein Fitness Using Evolutionary and Assay-Labeled Data

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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...

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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 Prediction with a New Model Mapped 500 Previously Unsolved Proteins

Structure Modeling with a New Method Mapped 500 Previously Unsolved Proteins

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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

The Earth BioGenome Project Steadily Started Sequencing Genomes

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A worldwide endeavor to map the genomes of all life on Earth (plants, animals, fungi, and other microbes) is entering a new phase as...
Illustration of DNA Fluorescent Nanoantenna (Caitlin Monney)

Nanoantenna – The World’s Smallest Antenna Created Using DNA to Monitor...

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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...
3D medical background with heart

Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk...

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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...
Microbiome

Metagenomics of Human Skin Microbiome Identifies New Bacteria and Viruses

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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 Drug Discovery

Deep Learning Based DNA and RNA Binding Sites Prediction for Accelerated...

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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

Multi-omics Data Visualization and Chromosomes Annotation with an R Package “ChromoMap”

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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...
Diagnostics of bronchial asthma with AI

Early Stage Bronchial Asthma Diagnosis with Artificial Intelligence

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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...
Predicting pregnancy health and preeclampsia using RNA sequencing from a single blood sample

Pregnancy Health and Preeclampsia Prediction Using RNA Sequencing from a Single...

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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...
Artificial intelligence brain

AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain

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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

Transforming DNA-Repair Visualization by Machine Learning Coupled High-Throughput Microscopy

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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 identifies Atherosclerosis potential therapeutic targets

Evaluating gene expression in single cells with a novel computational approach...

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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

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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 that can block Omicron variant of Covid-19 identified

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Antibodies have been found that neutralize Omicron and other coronavirus strains by targeting areas that stay largely unchanged as the virus mutates have been...

Cryobioprinting a technique for printing frozen and complex structures uses bioink...

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A newly introduced technique takes bioprinting -; where the ink of cells does printing, layer by layer, forming a structure -; to a whole...

Predicting Gene Expression From DNA Sequence Using AI

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Interpreting gene expression from the DNA sequence is one of the most challenging problems in genome biology. Decoding DNA sequence with the help of...
SARS-CoV-2 mechanism

SARS-CoV-2 Mechanism of Evading Immune System Revealed

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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,...

Must Read

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

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G protein-coupled receptors (GPCRs) are essential membrane proteins with dynamic conformations that are also major targets for drug development and discovery. However, designing protein...
Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

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Hundreds of scientists come together through collaborative efforts to accomplish a shared goal during scientific discovery processes. Current workflows generate research independently, yet they...
MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

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Recent years have witnessed significant advancements in the fields of artificial intelligence (AI) and machine learning (ML), catalyzing a revolution in cheminformatics and drug...
Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

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There are more than 100 NMR relaxation datasets in the Biological Magnetic Resonance Data Bank (BMRB), which show an observable motion in µs-ms. NMR...
A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

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Advancements in precision medicine have long promised a future where treatments are tailored to individual genetic profiles. However, despite significant progress in genomics, the...