Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil,...
Antimicrobial resistance (AMR) may be reservoired in intensive livestock farms, posing a threat to surrounding communities. The gut microbiome of livestock, workers, and their...
Mathematical Modeling Bridges Chromatin Architecture with Potential in Genome Medicine
Scientists from the University of Michigan employed hypergraph theory, utilizing long sequence reads to map genome-wide multi-ways to identify chromatin architecture within the human...
Accelerating the Discovery of New Drugs with AI-based Screening Methods
The researchers from the University of Central Florida identified promising drug candidates using an AI-based tool, "AttentionSiteDTI," that uses natural language to model drug-target...
Meet “ProteinMPNN,” A Robust Deep Learning-based Protein Sequence Design Algorithm
Predicting protein structure has been revolutionized by machine learning over the past two years. A similar breakthrough in protein design has now been reported...
Microbiome Data Analysis using Differential Abundance Methods – A Benchmark Study
In order to perform an extensive benchmarking of the known tools for differential abundance analysis, the researchers from the University of Padova used a...
CheXzero: A Tool to Identify Pathologies from Unannotated Chest X-ray Images...
The new tool "CheXzero" improves clinical AI design by overcoming the major hurdle of labeling datasets for model training.
Scientists at Harvard Medical School and...
DeepFold: A Fast and Accurate Method for Ab Initio Protein Structure Prediction using...
Scientists from the University of Michigan developed an open-source program, DeepFold, to quickly construct accurate protein structure models from deep learning-based potentials.
In spite...
Vanderbilt University Researchers Suggest a New Mechanism for the Lipid Transporter
New research from Vanderbilt University suggests that a protein involved in the production of high-density lipoprotein (HDL) works differently than previously believed.
High-density lipoproteins (HDL)...
Researchers at Tufts use Artificial Intelligence to Improve Tuberculosis Treatments
A challenge to tuberculosis treatment regimen design is the need to combine three or more antibiotics. The study shows how machine learning can provide...
MIT Biologists Develop a New Computational Approach to Gain Insights into...
The computational analysis of proteins reveals that many repetitive sequences are shared across proteins and show similarities in species from bacteria to humans.
MIT biologists...
Microsoft and Novo Nordisk Collaborate to Accelerate Drug Discovery and Development...
Novo Nordisk, a leading global healthcare company headquartered in Denmark, has entered into a new strategic collaboration with Microsoft Corp. to accelerate drug discovery...
Scientists Develop an Artificial Intelligence Tool that Could Reduce the Side...
It may be possible for clinicians to use artificial intelligence to identify patients who are most prone to experiencing harmful side effects when taking...
Scientists Develop an Improved Method for Detecting Myeloma Bone Disease using...
Scientists have developed a new CT technique using artificial intelligence (AI) to spot multiple myeloma-related bone diseases, using lower radiation doses than conventional CT,...
A New AI Model can Detect COVID-19 Cases by Analyzing Changes...
A deep learning model based on voice data from crowd-sourced audio samples detects COVID-19 cases by analyzing subtle vocal changes.
At an international congress of...
Researchers at Mount Sinai Determined the Crystal Structure of the SARS-CoV-2...
Researchers at Mount Sinai have solved the high-resolution crystal structure of a critical enzyme of SARS-CoV-2, leading to the development of new antivirals. This...
Cancer Omics Data Analysis Simplified with a Graphical Interface-driven Bioinformatics Pipeline...
Researchers from the Indian Institute of Technology, Madras, present iCOMIC, a tool for quickly analyzing genomic data. With iCOMIC, users can analyze whole genome...
Scientists Construct a Single-cell Level Cross-species Cell Landscape by Integrating Over 2.6...
Life is based on individual cells. Landscape dynamics across species have not been compared despite extensive efforts to characterize cellular heterogeneity. A large number...
MVsim – A Toolset for Simulating Complex Molecular Interactions Could Improve...
MVsim is a new application suite that enables the quantification, design, and mechanistic evaluation of multivalent binding interactions. It can be used to simulate...
Machine Learning Reveals How Bacterial Population Growth is Linked to the...
University of Tsukuba researchers used machine learning to discover that differentiation in decision-making factors for the lag, growth, and saturation phases of bacterial population...
Scientists Introduce an Automated Pipeline ‘Galaxy-SynBioCAD’ for Synthetic Biology Design and...
A toolshed for synthetic biology, metabolic engineering, and industrial biotechnology is available through the Galaxy-SynBioCAD portal. Using the tools and workflows available on the...
What is DNA Sequencing?
DNA sequencing is the process of determining the order of nucleotides (the building blocks of DNA) A, T, G, and C in a strand...
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...
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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...