Unveiling Specific Functions of Novel lncRNA Gm20743 using Whole-transcriptome Landscape of Diabetes-related...
Scientists perform the whole-transcriptome RNA sequencing and informatics of diabetes-induced sarcopenia model of db/db mice to illustrate the specific function of novel lncRNA Gm20743.
Type...
Decoding Scene Prediction by the Human Brain and its Confidence During...
Kyoto University scientists have discovered that they can decode from brain activity the subjects' capacities to forecast their placements and scenes within the labyrinth,...
A Deep Unsupervised Language Model ‘ProtGPT2’ for Protein Design
Scientists from the University of Bayreuth, Germany, introduced ProtGPT2, a language model for protein design trained on the protein space that generates de novo...
Graph Based Visualization and Analysis of High Dimensional Data Using the...
Scientists from the University of Edinburgh developed an open-source platform, 'Graphia', for the graph-based visualization and analysis of the high dimensional data being produced...
DeepBacs: A Deep Learning Approach to Analyze Bacterial Microscopy Images
Scientists from University College London demonstrate the use of various cutting-edge artificial neural networks to analyze images of bacterial microscopy. The approach will help...
SAMchain – A Blockchain Technology for Storing and Analyzing Genomes
Scientists from Yale University developed a novel private blockchain network by employing layered database indexing for the storage of reference-aligned next-generation sequencing reads and individual...
Deepmind’s AlphaFold Predicted the Structures of all the Proteins Known to...
The AlphaFold Protein Structure Database, created by DeepMind and EMBL's European Bioinformatics Institute (EMBL-EBI), makes AI-enabled predictions of the 3D structures of nearly all...
Scientists Develop Digital Pathology Models without Human Intervention by Integrating Clinical...
Scientists unleash the potential of digital pathology data by training computer-aided diagnosis models and making use of convolutional neural networks without human annotations. The...
“Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
Scientists from the Weizmann Institute resolved the mystery of how RNA molecules get to their intended destinations.
Each cell in our body receives instructions from...
An ‘Elegant’ Mechanism of Antibiotic Resistance in Golden Staph Revealed by...
Scientists from the University of New South Wales have discovered a complex system for adaptability in Staphylococcus aureus that has led to the identification and characterization...
The UK Biobank Released the Largest Set of Whole Genome Sequences...
Scientists discuss the study of 150,119 people's whole genomes from the UK Biobank, which is a group of high-quality variants that includes 58,707,036 indels...
Advanced AI in Brain Imaging Captures Dynamic Mental Illness Markers
In order to better prevent and cure debilitating ailments including Alzheimer's disease, schizophrenia, and autism, new research at Georgia State University's TReNDS Center may...
Scientists Device a Biosensor Integrated ‘Smart Necklace’ to Track Health Status...
A biosensor integrated smart necklace has been successfully tested by scientists from the Ohio State University and the University of Wisconsin, Madison, that could...
AACR Project GENIE – An International Pancancer Project Strengthening Precision Medicine
The American Association for Cancer Research (AACR) Project GENIE serves as a worldwide precision medicine knowledge base with ever-increasing implications for clinical decision-making as...
AI-Based Early Warning System for Sepsis Prevents Thousands of Deaths
The new AI-based technology developed by the scientists at Johns Hopkins University recognizes patients susceptible to sepsis, which is otherwise notoriously hard to detect...
Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance...
Using read pairs with several SARS-CoV-2 variant-specific signature mutations as a reliable signal of low-frequency variants, scientists develop the bioinformatics technique known as COJAC...
Replication Stalling and Recovery within Repetitive DNA Plays a Role in...
Scientists have discovered that repetitive DNA sequences or non-coding DNA, thought to be harmless and inactive, may play a role in the onset of...
SpaceFlow – A Deep Learning Framework to Integrate Spatiotemporal Information in...
Scientists from the University of California Irvine introduced SpaceFlow, which, by the utilization of spatially regularized deep graph networks, combines expression similarity with geographical...
Novel ‘Fuzzy’ AI Algorithms to Help Patients with Memory Loss
Like our brains, a new computer program created by Parham Aarabi of the University of Toronto can store and retrieve information strategically.
An experimental tool...
A Geometric Deep-Learning Model ‘EquiBind’ the Fastest Computational Molecular Docking Model
MIT researchers have developed a geometric deep-learning model, EquiBind, which is 1,200 times faster than one of the fastest computational molecular docking models currently...
Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
Scientists demonstrate that L452R and T478K mutations in the Delta variant interact synergistically with nearby residues to cause significant alterations in the spike/ACE2 interface,...
A Novel Protein Structure ‘SHOC2-MRAS-PP1C (SMP) Complex’ Offers ways to Target...
A significant complex of RAS-pathway proteins' structure has been determined by scientists, revealing how known disease-causing mutations result in illness and offering prospective novel...
Untargeted Metabolomics – A Novel Technique for Identifying a Vast Number...
How much of our body chemistry is related to what we eat can be determined through untargeted metabolomics by comparing blood or stool samples...
PandaOmics: An AI-Enabled Biological Target Discovery Platform Used to Identify Amyotrophic...
Scientists use PandaOmics, an AI-driven target identification tool, to examine the expression profiles of direct iPSC-derived motor neurons from Answer Amyotrophic Lateral Sclerosis (ALS)...
‘HistoML’ – A Markup Language based on Semantic Web Technologies for...
Scientists from Xi'an Jiaotong University propose the Histopathology Markup Language (HistoML), a representation language with a flexible syntax and extensible structure, along with a...
Identification of Physiological and Adventitious Metal-Binding Sites in Protein 3D Structures...
Scientists used a deep learning approach to create a 'Deep Neural Network Classifier' that can distinguish between physiologic and accidental zinc-binding sites in the...
Scientists Identify Cancer Triggers that may Lead to Targeted Drug Therapies...
The researchers at the Department of Energy's Oak Ridge National Laboratory have convincingly connected the function of a specific domain of proteins vital in...
AI-Powered Innovative Bacterial Colony Detection System Using a Thin-Film Transistor (TFT)...
A research team led by Professor Aydogan Ozcan from the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA) and...
The Pandemic Readiness Platform ‘IDentif.AI-x’ for Rapid Prioritization of Effective COVID-19...
Scientists from the National University of Singapore and DSO National Laboratories, Singapore develop IDentif.AI-x, a pandemic readiness platform powered by artificial intelligence for the...
TranSalNet – AI System that Simulates Human Vision Holds Potential Application...
Scientists at Cardiff University have developed a state-of-the-art artificial intelligence (AI) system, 'TranSalNet,' which precisely anticipates the regions of an image where a person...
Scientists Use AI to Identify Co-component Signal Transduction Systems in Gut...
Novel discovery by scientists from UT Southwestern University identifies co-component signal transduction systems in gut bacteria that could help fight gastrointestinal infections.
Scientists used artificial...
NT-seq – A New Sequencing Technique for Genome-Wide Mapping of Different...
Baylor College of Medicine researchers introduce a new sequencing technique 'NT-seq' for simultaneously mapping all three forms of DNA methylation. All known methylation motifs...
Developing a New Class of Antibiotics Based on the Understanding of...
Researchers from University Hospital Frankfurt and Goethe University Frankfurt have figured out how bacteria attach to host cells, paving the way to create a...
Computer Scientists from Rice University Develop a Software ‘Emu’ for Accurate...
Emu, an approach that uses an expectation-maximization algorithm to generate taxonomic abundance profiles from full-length 16S rRNA reads profiles microbial populations using common genes....
Scientists Develop a Novel GPU-based Machine Learning Model to Discover Human...
Indian Institute of Science (IISc) researchers have created a novel GPU-based machine learning model to better understand and predict human brain connections across various...
Single-Cell Map of Heart Failure Provides Insights into Novel Potential Therapeutic...
Researchers have discovered molecular fingerprints that lead to biological causes of disease by analyzing individual cardiac cells from heart failure patients.
Heart failure is an...
TAS-Seq – A New Sensitive, and Powerful Single-Cell RNA Sequencing Technique...
The emergence of single-cell RNA sequencing (scRNA-seq) has now made it possible to analyze the internal workings of hundreds of cells at once, revolutionizing...
PICASSO Technique Helps Scientists Visualize Biological Molecules into Technicolor
Scientists from the Korea Advanced Institute of Science and Technology propose the PICASSO technique, which enables more than 15-color imaging of spatially overlapping proteins...
High-Resolution Cryo-EM Structure of Type IV Secretion System Offers New Hope...
A group of researchers from UCL and Birkbeck has discovered a novel strategy to help limit the spread of antibiotic resistance, which has the...
Applying 3D Computational Simulation to Reveal the Secrets of the Genome...
A research team from Nagoya University in Japan has created a 3-Dimensional computational simulation of the formation of the genome structure in the human...
Scientists Integrate Genome Mining with PAN Genome Analysis to Discover the...
Scientists from the Technical University of Denmark (DTU) and the University of California San Diego present a systems biology workflow that integrates genome mining...
Scientists Unravel How DNA Double Helix Structure is Opened to Allow...
Scientists at the Francis Crick Institute have uncovered how the DNA double helix structure is opened to allow DNA replication. The research could pave...
Scientists Discover a New Mechanism for Endoplasmic Reticulum Sorting of LRR...
Scientists from the Chinese Academy of Sciences' Institute of Genetics and Developmental Biology (IGDB) have discovered a new mechanism that protects the endoplasmic reticulum...
Scientists Develop Structural 3D Maps of Key Proteins that Go Wrong...
Cold Spring Harbor Laboratory (CSHL) scientist Professor Hiro Furukawa adopts an architectural approach to brain research. He makes structural 3D maps of key proteins...
Scientists Used a Netflix-Style Algorithm to Create Blueprint of Cancer Genomes
The algorithms that track users' Netflix viewing habits could soon be used to track cancer development in order to direct doctors in managing cancer.
An...
Supercomputing Helps Discover Weaknesses in HIV-1 Virus Capsid
There's still a lot to discover about how the HIV-1 virus affects human cells. Scientists believe it gets past our immune system's defenses and...
Repurposing Progesterone Altering Drug to Diminish the Risk of Severe Triple...
According to new research headed by University College London experts existing drugs that affect the impact of the hormone progesterone, such as mifepristone, have...
Disease Prognosis Using Deep Learning and H&E Images – Emerging Tool...
Scientists used hematoxylin and eosin (H&E) images with a deep learning approach to predict disease outcomes, an emerging technique for the improvement of clinical trials...
Scientists Develop a New Computational Tool ‘Grit’ to Identify Upstream Transcription...
Scientists from Yangtze University, Jingzhou, China developed a computational tool, "Grit," to identify the upstream transcription factor binding sites in orthologous genes by the...
Scientists Elucidate How Bacteria Communicate Their Way To Causing Infection
Scientists at Oregon State University revealed how bacteria communicate their way to causing infection. The researchers discovered proteins that prevent a bacterial cell from...
Must Read
45 Days Hands-on Skill Development Summer Training/Internship on “From Base Pairs to Big Data:...
Are you ready to transform your understanding of bioinformatics and gain hands-on experience with cutting-edge tools and technologies? The Centre of Bioinformatics Research & Technology...
Vision Transformers: A New Era in Protein-Ligand Affinity Prediction
Predicting how tightly a drug molecule (ligand) binds to its protein target is a cornerstone of modern drug discovery. Yet, this task remains a...
Building Better Models: How AI and Experimentation Shape GPCR Research in AlphaFold Era
The GPCR Dock competitions are a set of community-wide evaluations of ligand docking and computational structural modeling for G protein-coupled receptors, a key class...
Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design
In a recent breakthrough in AI-driven drug discovery, researchers from Pfizer, AstraZeneca, and Chalmers University unveiled a new generative framework called FLOWR, designed to...
Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development
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...