Deep Mutational Learning Determines the Impact of SARS-CoV-2 Receptor Binding Domain...
It is highly likely that the COVID-19 pandemic will last longer due to the continuous evolution of SARS-CoV-2 and the emergence of variants that...
Top Five Data Science Technologies Transforming Cancer Research
Cancer is a disease that affects millions of people worldwide. According to the World Health Organization (WHO), cancer is the second leading cause of...
Epitope-Evaluator: A Shiny/R-based Web Tool for Interactively Analysing Predicted T-cell Epitopes
T-cell epitopes are predicted based on amino acid sequences of proteins from different MHC alleles using multiple immunoinformatic tools. Many of these tools produce...
Self-supervised Deep Learning Algorithm “Cytoself” Provides High-Resolution Features of Protein Subcellular...
Understanding cellular architecture requires understanding the diversity and complexity of protein localization. The present study aims to introduce cytoself, a deep-learning approach that allows...
Clinical Validation of Deep Learning Algorithm to Simplify Lung Cancer Radiotherapy...
Nearly half of the cases of the most common cancer worldwide, lung cancer, are treated with radiation therapy (RT). RT planning is a time-consuming,...
Kyoto University Scientists Integrated Probability Algorithms within a Pocket-sized Sequencing Device...
Scientists at Kyoto University introduced two new approaches that could help better distinguish RNA modifications affecting how genetic code is read using sequencing technology.
The...
UCI Scientists Track Transposable Elements ‘Parasitic Genes’ in the Search for...
Scientists at the University of California, Irvine, provide new insights into "parasitic genes" or transposable elements. Despite accounting for more than half of human...
MIT’s Artificial Intelligence Model Detects Parkinson’s Disease from Nocturnal Breathing Patterns
Scientists from MIT developed a device resembling a Wi-Fi router that employs a neural network to detect the presence and severity of the most...
Interactome of the Dementia Protein ‘Tau Protein’ Reveals its Role in...
According to new research from Flinders University, the tau protein, which plays a critical role in the development of Alzheimer's disease, is also involved...
MIT Researchers used Multicellular Interface Patterning Based on 4-bit Adhesion Logic...
A research team led by the professors at MIT and the University of Arizona has developed an experiment-theory platform for programming bacterial systems to...
A Comparative Analysis of Artificial Intelligence Approaches for Personalized Medicine Reveals...
A study at Rutgers University of dozens of artificial intelligence (AI) software programs used in precision medicine to prevent, diagnose, and treat disease discovered...
Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole...
Scientists from the Central South University, China, developed a novel Tumor Treating Fields 'TTFields' system named "CL-301A" and showcase its efficacy in the suppression...
Genebass – A New Online Resource that Links Rare Genetic Variants...
Researchers at the Broad Institute of MIT and Harvard have developed Genebass, a free online browser that will assist other researchers and clinicians studying...
Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s...
A research team at Seoul National University (SNU) developed deep learning technology that can more accurately predict a cancer patient's survival rate.
According to the...
Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out...
Universitas Gadjah Mada, Indonesia, scientists developed a low-cost, non-invasive method to rapidly sniff out COVID-19 by using an electronic nose named "GeNose C19".
The method...
Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
Scientists from The City University of New York present a protocol for collecting and analyzing data for KBG syndrome that emphasizes the use of...
Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis...
Scientists from the Swiss Institute of Bioinformatics devise a workflow known as Single Cell Analysis mRNA Pipeline, 'scAmpi,' for providing complete functionality to scRNA-seq data...
A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the...
A tumor is a complex tissue of cancerous cells associated with a heterogeneous cellular microenvironment. Using single-cell sequencing, tumor cells can be molecularly characterized....
iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and...
The University of Cincinnati scientists introduce iLINCS, an integrative web-based platform for analyzing OMICS data and markers of cellular disturbances. The user-friendly interfaces of...
Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
Scientists present an interpretable, loosely guided, multimodal deep learning strategy for cancer prognosis, which also investigates the use of multimodal interpretability to describe how...
Meta’s AI Protein Structure Prediction Model ‘ESMFold’ Predicts as Accurately and...
Researchers at Meta AI developed an artificial intelligence (AI) model that can precisely predict entire atomic protein structures from a single sequence of a...
Modeling New Mutational Spaces with Machine Learning
From cancer and autoimmune diseases to allergies and neurodegenerative diseases, antibody therapeutics are being used to treat human conditions. Molecular properties of antibodies, such...
A Dual-plasmid System Based on Gene Editing Tools Boosts DNA Digital...
The Chinese Academy of Sciences researchers introduced a dual-plasmid editing system that enhances DNA digital storage. The study strongly encourages the use of DNA-based...
Scientists from Seven Bridges Genomics Show how Utilizing Population-Specific Genome Graphs...
Seven Bridges Genomics, USA, scientists demonstrate an approach for iteratively augmenting tailored genome graphs for targeted populations on whole-genome samples of African ancestry.
Due to...
Teixobactin Kills Bacteria by Attacking the Cell Envelope in Two Ways
The development of new mechanisms for antibiotics is essential to combating antimicrobial resistance. With its unique chemical scaffold, Teixobactin is a new class of...
Scientists Propose a Computational Approach for Predicting HIV Combination Therapies to...
Scientists from the University of Washington, the Max Planck Institute for Dynamics and Self-Organization, and the University of Cologne carefully formulated combination therapies from...
Scientists Recognize Extended Continuous Similarity Indices as a Novel Tool to...
Scientists from the University of Florida, US, and the Research Centre for Natural Science, Hungary, developed a new frame selection algorithm, "ECS-MeDiv," as an...
Scientists Discover a Novel Two-step Mechanism the Antibiotic ‘Teixobactin’ uses to...
The University of Utrecht scientists have uncovered a novel mechanism for how drugs eradicate antibiotic-resistant bacteria. Teixobactin, an antibiotic, kills bacteria by destroying their...
Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
Since the first appearance of SARS-CoV-2, a number of in silico methods have been employed to discover possible drugs that can target the viral...
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,...
Must Read
Solving a Long-Standing Genomics Bottleneck: KAIST Proposes AI-Powered Strategy for Gene Function Prediction
KAIST and UCSD researchers proposed AI-driven strategies for microbial gene function discovery, addressing the long-standing bottleneck where many microbial genes remain uncharacterized despite advances...
AI-Powered Metagenomics: How MetagenBERT Predicts Disease From Raw DNA Sequences
Researchers from Sorbonne University and Dauphine University, France, introduced MetagenBERT, a Transformer-based framework for disease prediction directly from raw metagenomic DNA without relying on...
ToposBio Unveils Topos-1: An All-Atom Foundation Model for Intrinsically Disordered Proteins
Intrinsically disordered proteins (IDPs) are proteins that are central to neurodegenerative diseases and aggressive cancers like prostate cancer, have been considered ‘undruggable’ as structures...
CleaveNet Enables Scalable and Targeted Protease Substrate Design for Diagnostics and Therapeutics
Scientists from MIT and Microsoft Research present CleaveNet, an AI-based pipeline that merges predictive and generative modeling for end-to-end peptide (short protein) design. By...
Advancing Peptide Therapeutics with PeptiVerse’s Unified Prediction Framework
Researchers at the University of Pennsylvania developed PeptiVerse, a single platform that predicts drug-related properties of therapeutic peptides using either amino acid sequences or...