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Scientists Discover TB’s Metabolic “Control Switch” — A New Target for Tuberculosis Drugs
BySaniya Sayyed July 13, 2026October 22, 2026

The interdisciplinary team, spanning researchers from the University of Surrey, Imperial College London, IISc, and others, discovered Virulence Associated Dikinase (VadK), which evolved from pyruvate phosphate dikinase to histidine kinase. It regulates the methylcitrate cycle used by Mycobacterium tuberculosis to process energy sources from host lipids. Without ΔvadK mutants, the TB bacteria failed to grow…

Read More Scientists Discover TB’s Metabolic “Control Switch” — A New Target for Tuberculosis Drugs
AI | AMR Alert | Bioinformatics | Machine Learning | News | Paper Summary | Trending

Can Machine Learning Forecast Antibiotic Resistance Trends Across the Globe?
BySaniya Sayyed June 30, 2026October 22, 2026

Antimicrobial resistance (AMR) has quietly become one of the defining health crises of our time, undermining the effectiveness of life-saving medicines and putting decades of medical progress at risk. Drug-resistant infections already claim more than 1 million lives each year and contribute to nearly 5 million deaths globally, with projections pointing to a staggering 39 million…

Read More Can Machine Learning Forecast Antibiotic Resistance Trends Across the Globe?
AI | AMR Alert | Bioinformatics | Drug Discovery | Foundation Model | Infectious Diseases | LLM | News | Paper Summary | Tools | Trending

Harnessing Foundation Model for Antimicrobial Peptide Design: A New Frontier in AI-led Scientific Discovery
ByDeotima Chakraborty July 27, 2024October 22, 2026

Recent advances in chemistry, material science, and biological research have been greatly aided by large language models (LLMs), which act as flexible foundation models for various downstream predictive or generative tasks. A team of researchers from Zhejiang University and with their collaborators in China proposed an LLM-based foundation model technique called AMP-Designer as a quick…

Read More Harnessing Foundation Model for Antimicrobial Peptide Design: A New Frontier in AI-led Scientific Discovery
AMR Alert | Antibiotic Resistance | Bioinformatics | Genomics | Infectious Diseases | News | NGS | Paper Summary | Sequencing | Trending

Can Real-Time Genomics Change the Game of Detecting Antibiotic Resistance?
ByAnchal Negi July 19, 2024October 22, 2026

Antibiotic resistance is increasing as a global problem, meaning previously effective treatments for bacterial infections have ceased to work. It is vital to accurately identify the antibiotic resistance profile of an infection to choose the right antibiotic and improve patient outcomes. In Germany, researchers from the Technical University of Munich (TUM) are exploring this possibility…

Read More Can Real-Time Genomics Change the Game of Detecting Antibiotic Resistance?
AMR Alert | Antibiotic Resistance | Biotech | Drug Discovery | Infectious Diseases | Medical Informatics | News | Paper Summary | Trending

Outsmarting the Malaria Parasite: SMART Researchers Decode the Mystery of Drug Resistance Mechanism
ByAnshika Gupta June 4, 2024October 22, 2026

Artemisinin, which is used as a cure for malaria, has remained an effective drug in managing the disease over the years. However, the recent activity arising from Plasmodium falciparum resistant to artemisinin, an important vital compound used in malaria treatment, is one of the most significant challenges threatening global health. Recent research published in Nature…

Read More Outsmarting the Malaria Parasite: SMART Researchers Decode the Mystery of Drug Resistance Mechanism
AMR Alert | Antibiotic Resistance | Bioinformatics | Drug Discovery | News | Trending

Oxford Researchers Develop Game-changing Small Molecule to Suppress the Evolution of Antibiotic Resistance
ByAnshika Gupta June 2, 2024October 22, 2026

Antibiotic resistance is one of the most pressing challenges in modern medicine. As bacteria evolve to withstand our best treatments, once-manageable infections are becoming increasingly difficult, if not impossible, to treat. Among the most notorious of these resistant bacteria are those that resist quinolone antibiotics, a critical class used to treat a variety of infections….

Read More Oxford Researchers Develop Game-changing Small Molecule to Suppress the Evolution of Antibiotic Resistance
AI | AMR Alert | Antibiotic Resistance | Bioinformatics | Deep Learning | Infectious Diseases | LLM | News | Paper Summary | Proteomics | Trending

Turning the Tide Against Antibiotic Resistance: Protein-BERT’s Accurate and Interpretable Predictions
ByAnchal Negi May 13, 2024October 22, 2026

Scientists from Waseda University and Hitachi, Ltd., Japan, developed a novel approach for predicting antibiotic resistance genes (ARGs) resistance mechanisms using Protein-BERT, a protein language model based on deep learning. This model excels at predicting resistance for genes with low similarity to known sequences. By analyzing biologically relevant features like conserved residues and binding sites,…

Read More Turning the Tide Against Antibiotic Resistance: Protein-BERT’s Accurate and Interpretable Predictions
AI | AMR Alert | Bioinformatics | Drug Discovery | News | Paper Summary | Trending

AI vs. Superbugs: A New Generative AI Model ‘SyntheMol’ Designs Powerful Antibiotics to Fight Resistant Bacteria
ByDeotima Chakraborty March 25, 2024October 22, 2026

AI is being used to find novel antibiotics for bacteria resistant to pandemics; however, the currently used techniques have serious drawbacks. While generative models design molecules—which are difficult to synthesize—property prediction models, which assess molecules individually, have difficulty scaling to enormous chemical spaces. The generative model SyntheMol, which creates readily synthesizable chemicals from a chemical…

Read More AI vs. Superbugs: A New Generative AI Model ‘SyntheMol’ Designs Powerful Antibiotics to Fight Resistant Bacteria
AMR Alert | Big Data | Bioinformatics | Genomics | News | Paper Summary | Sequencing

Meet ggCaller: A Fast and Accurate Solution for Pangenome Annotation and Clustering
ByPrachi Khare October 25, 2023October 25, 2023

Pangenomic annotation is critical for understanding the bacterial genomic variety and depends on recognizing core and accessory genes through gene prediction and clustering. These are vital for characterization and epidemiological examinations. Accessory genes tracked down in unambiguous subsets are related to attributes like antimicrobial opposition, harmfulness, and immunization escape. Current techniques include quality forecast and…

Read More Meet ggCaller: A Fast and Accurate Solution for Pangenome Annotation and Clustering
AI | AMR Alert | Bioinformatics | Drug Discovery | News | Paper Summary | Trending

From Algorithms to Antibiotics: Harnessing Artificial Intelligence in the Search for Antimicrobial Peptides
ByAditi Sarkar August 27, 2023October 22, 2026

Faculties of the Mathematics Department at the University of Warsaw, Poland, have presented a review of the past two years progress of Artificial Intelligence (AI)-mediated approaches to boost Antimicrobial Peptide (AMP) designing-related research works, which are absolutely necessary to overcome the global health hazard manifested by the upsurge of antibiotic-resistant pathogens. The review article offers…

Read More From Algorithms to Antibiotics: Harnessing Artificial Intelligence in the Search for Antimicrobial Peptides
AI | AMR Alert | Antibiotic Resistance | Bioinformatics | Drug Discovery | Health | Infectious Diseases | Machine Learning | News | Trending

Artificial Intelligence: The New Weapon in the Fight Against Infectious Diseases
ByDr. Tamanna Anwar August 12, 2023October 22, 2026

Infectious diseases have been a persistent challenge to public health despite significant advancements in various scientific disciplines. The emergence of viruses resistant to drugs, the frequency of pathogen outbreaks, and the ongoing danger of pandemics underline the urgent need for new and effective treatments. Addressing these challenges requires the combined efforts of multiple disciplines, and…

Read More Artificial Intelligence: The New Weapon in the Fight Against Infectious Diseases
AI | AMR Alert | Antibiotic Resistance | Bioinformatics | Drug Discovery | Machine Learning | News | Trending

AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
ByDr. Tamanna Anwar May 27, 2023May 27, 2023

A groundbreaking study conducted by scientists from MIT and McMaster University has unveiled a revolutionary artificial intelligence-based antibiotic that effectively eliminates a specific strain of bacteria often associated with drug-resistant infections. If it receives approval for patient usage, the newly developed antibiotic has the potential to significantly contribute to the battle against Acinetobacter baumannii, a…

Read More AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections
AMR Alert | Antibiotic Resistance | Bioinformatics | Health | Infectious Diseases | Metagenomics | News | Paper Summary | Trending

Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
ByMahi Sharma October 5, 2022January 8, 2024

Scientists from A*STAR’s Genome Institute of Singapore (GIS) discovered that carbapenemase-producing Enterobacteriaceae (CPE) could hide out among gut bacteria in asymptomatic humans. Long-term research to understand microbiome ecology within the population suggests visible shifts in microbial pathways assisting in the colonization of Enterobacteriaceae favoring CPE (Carbapenemase-producing Enterobacteriaceae ) infections. The study provides imperative insight into…

Read More Understanding the Population Dynamics for AMR Burden due to Carbapenemase-producing Enterobacteriaceae in Gut Microbiome
AMR Alert | Bioinformatics | Infectious Diseases | Machine Learning | Metagenomics | News | NGS | Paper Summary | Trending

Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil, and Livestock
BySrishti Sharma September 27, 2022September 27, 2022

Antimicrobial resistance (AMR) may be reservoired in intensive livestock farms, posing a threat to surrounding communities. The gut microbiome of livestock, workers, and their households, as well as microbial communities in carcasses and soil, were investigated using shotgun metagenome sequencing, machine learning (ML), and culture-based methods at a poultry farm in China. In this study,…

Read More Scientists Investigated Microbial Communities and Resistomes in Relation to Interconnected Humans, Soil, and Livestock
AMR Alert | Bioinformatics | Drug Discovery | Infectious Diseases | News | Structural Biology | Trending

Scientists Discover a Novel Two-step Mechanism the Antibiotic ‘Teixobactin’ uses to Kill Antibiotic-Resistant Bacteria
ByDr. Tamanna Anwar August 7, 2022October 22, 2026

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 cell membrane and preventing the formation of their cell walls, according to research published in the peer-reviewed journal Nature. The new understandings might make it possible to create potent antibiotics that…

Read More Scientists Discover a Novel Two-step Mechanism the Antibiotic ‘Teixobactin’ uses to Kill Antibiotic-Resistant Bacteria
AMR Alert | Antibiotic Resistance | Bioinformatics | Infectious Diseases | News | RNA-Seq | Sequencing | Trending

An ‘Elegant’ Mechanism of Antibiotic Resistance in Golden Staph Revealed by a New Tool
ByDr. Tamanna Anwar July 27, 2022July 27, 2022

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 of multi-drug resistance mechanisms as well as the development of new lines of antibiotic defense. The remedy for methicillin-resistant S. aureus infections depends on the effectiveness of the last-line antibiotics such as vancomycin….

Read More An ‘Elegant’ Mechanism of Antibiotic Resistance in Golden Staph Revealed by a New Tool
AMR Alert | Bioinformatics | Cell | Drug Discovery | Health | Infectious Diseases | News | Trending

Developing a New Class of Antibiotics Based on the Understanding of how Bacteria Adhere to Host Cells
ByDr. Tamanna Anwar July 2, 2022October 22, 2026

Researchers from University Hospital Frankfurt and Goethe University Frankfurt have figured out how bacteria attach to host cells, paving the way to create a new class of antibiotics. The initial and most significant step in the development of infectious diseases is always the attachment of bacteria to host cells. Infectious pathogens use this adhesion first…

Read More Developing a New Class of Antibiotics Based on the Understanding of how Bacteria Adhere to Host Cells
AMR Alert | Antibiotic Resistance | Bioinformatics | Infectious Diseases | News | Trending

High-Resolution Cryo-EM Structure of Type IV Secretion System Offers New Hope for Fighting Antibiotic Resistance
ByDr. Tamanna Anwar June 26, 2022July 2, 2022

A group of researchers from UCL and Birkbeck has discovered a novel strategy to help limit the spread of antibiotic resistance, which has the potential to have a huge worldwide impact on millions of people’s lives. The groundbreaking study, which was published in Nature, revealed for the first time the structure of the transport mechanism…

Read More High-Resolution Cryo-EM Structure of Type IV Secretion System Offers New Hope for Fighting Antibiotic Resistance
AMR Alert | Antibiotic Resistance | Bioinformatics | Infectious Diseases | News | NGS

Scientists Discover Superbug Develops Drug-Resistance to ‘last Resort’ Antibiotic Fast
ByDr. Tamanna Anwar June 9, 2022June 18, 2022

New research from University of Oxford revealed that superbug Pseudomonas develops resistance to a common ‘last-resort’ antibiotic much faster than expected. Recent research published in Cell Reports this week shows how populations of the bacterium Pseudomonas react to treatment with Colistin, a ‘last resort’ antibiotic for patients with multidrug-resistant infections. Antibiotics are essential for human health because they help…

Read More Scientists Discover Superbug Develops Drug-Resistance to ‘last Resort’ Antibiotic Fast
AMR Alert | Antibiotic Resistance | News | Paper Summary | Tools

Scientists Develop a Mathematical Model to Predict the Efficiency of Phage Therapy Against Pathogenic Bacteria
ByTanveen Kaur May 25, 2022November 9, 2022

Scientists from Inserm, Université Sorbonne Paris Nord, and Université Paris-Cité at the IAME Laboratory, with their collaborators at Institut Pasteur and the Paris Public Hospitals Group (AP-HP), develop an in silico model in combination with in vivo phage therapy data to highlight vital parameters for increasing the efficiency of pneumonia treatment. The clinical (re)development of…

Read More Scientists Develop a Mathematical Model to Predict the Efficiency of Phage Therapy Against Pathogenic Bacteria
AMR Alert | Antibiotic Resistance | Bioinformatics | Metagenomics | News | NGS | Sequencing | Trending

Impact of Antibiotics on the Evolution of Gut Microbiome and Antimicrobial Resistance
ByDr. Tamanna Anwar May 13, 2022June 18, 2022

Following a single antibiotic course, the researchers discover how gut commensals acquire antimicrobial resistance genes (ARGs). According to the researchers, a single round of antibiotics may be enough to drive ARG acquisition and occurrence in gut commensals throughout the duration of a mammalian lifetime. Antibiotics are frequently used to treat infections and ensure surgical treatments…

Read More Impact of Antibiotics on the Evolution of Gut Microbiome and Antimicrobial Resistance
AI | Algorithm | AMR Alert | Chemoinformatics | Drug Discovery | Health | News

Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful Drugs
ByDr. Tamanna Anwar May 7, 2022October 22, 2026

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 even pose environmental risks. Scientists from the Ulsan Institute of Science and Technology, Republic of Korea, have developed an innovative strategy to repurpose waste chemicals into usable products using artificial intelligence…

Read More Artificial Intelligence Based ‘Waste-to-Valuable’ Algorithm for Repurposing Chemical Wastes into Useful Drugs
AMR Alert | Antibiotic Resistance | COVID-19 | Covid-19 News | Drug Discovery | Paper Summary | Precision Medicine

Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
ByTanveen Kaur May 1, 2022October 22, 2026

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 challenges and priorities in the anti-tuberculosis treatment strategies and drug development. The study published in Nature Reviews Microbiology this week suggests that the preclinical and clinical anti-tuberculosis treatment methodologies depicted in…

Read More Benefits and Challenges of ‘One-Size-Fits-All’ Anti-Tuberculosis Treatment Strategies
AMR Alert | Antibiotic Resistance | Biomedical Engineering | Drug Discovery | Featured | Health | News | Trending

Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes
ByDr. Tamanna Anwar April 19, 2022October 22, 2026

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 and inflammatory illnesses, as well as an increased risk of subsequent infections and the development of antibiotic resistance. Scientists from Massachusetts Institute of Technology designed and evaluated the in vivo…

Read More Engineered Bacteria Prevent Antibiotics from Harming the Beneficial Gut Microbes
AMR Alert | Antibiotic Resistance | Bioinformatics | Computational Models | Machine Learning | News | Paper Summary | Precision Medicine | Tools | Trending

Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
ByTanveen Kaur April 13, 2022November 9, 2022

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 million every year by 2051. Stanford University scientists developed machine learning models that predict antibiotic susceptibility patterns (personalized antibiograms) using electronic health record data. Personalized empiric antibiotic subscription with personalized antibiograms…

Read More Machine Learning-Driven Antibiotic Selection Model that Predicts Personalized Antibiograms
AMR Alert | Antibiotic Resistance | Bioinformatics | Cancer Research | Neural Network | News | Precision Medicine | Trending

A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified by Scientists
ByTanveen Kaur April 9, 2022November 9, 2022

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 (IBS), Korea, devised a Bayesian inference approach. The approach could aid in the development of treatments that kill pathogenic or cancerous cells. Recognizing the source of cell-to-cell variability in cell signaling…

Read More A Major Source of Cell-to-Cell Variability in Cell Signaling Dynamics Identified by Scientists
AMR Alert | Bioinformatics | Drug Discovery | News | Phylogenetic Analysis | Trending

Vanderbilt University Researchers have Developed a Novel Method to Target Potentially Undiscovered Beneficial Therapeutic Chemicals
ByDr. Tamanna Anwar April 8, 2022October 22, 2026

A project coordinated by a group of researchers from the Eichman lab and the Evolutionary Studies Initiative on the research of chemical compounds produced by bacteria was just published in mBio. The group was particularly interested in a class of compounds known as natural products. These substances are created by an organism for a specific…

Read More Vanderbilt University Researchers have Developed a Novel Method to Target Potentially Undiscovered Beneficial Therapeutic Chemicals
AMR Alert | Bioinformatics | Biotech | Drug Discovery | Health | News | Structural Biology

Tiny Bacterial Nonribosomal Peptide Synthetases Could Aid in the Development of Novel Medicines
ByDr. Tamanna Anwar April 5, 2022October 22, 2026

Researchers from McGill University collaborated with the Canadian Light Source (CLS) at the University of Saskatchewan to unlock the full potential of small biological machinery that can significantly influence human health. Nonribosomal peptide synthetases (NRPSs), referred to as machines, are large modular enzymes that synthesize secondary metabolites and natural products essential for the production of…

Read More Tiny Bacterial Nonribosomal Peptide Synthetases Could Aid in the Development of Novel Medicines
AI | AMR Alert | Bioinformatics | Machine Learning | News | Structural Biology | Trending

A Perfect Trio of Crystallography, Cryo-EM and AlphaFold Reveals Information on Important Human Antibacterial Proteins
ByDr. Tamanna Anwar March 14, 2022June 18, 2022

A team led by Karolinska Institutet used artificial intelligence (AI) and structural biology to learn more about two related proteins that protect the urinary tract and the gastrointestinal system from bacterial infection. The findings were published in “Nature Structural & Molecular Biology.” “These findings could in principle be explored to develop a decoy alternative to…

Read More A Perfect Trio of Crystallography, Cryo-EM and AlphaFold Reveals Information on Important Human Antibacterial Proteins
AMR Alert | Antibiotic Resistance | Bioinformatics | Biotech | COVID-19 | Covid-19 News | Drug Discovery | Trending

A Unique Lysin Capable of Killing Multidrug-Resistant Bacteria Discovered by SMART Researchers
ByDr. Tamanna Anwar March 10, 2022October 22, 2026

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 the Singapore-MIT Alliance for Research and Technology (SMART), MIT’s research enterprise in Singapore, have discovered Abp013, a novel phage lysin that might be utilized as an antibacterial agent against two…

Read More A Unique Lysin Capable of Killing Multidrug-Resistant Bacteria Discovered by SMART Researchers
AMR Alert | Antibiotic Resistance | Biotech | News | Structural Biology | Trending

Protein Structure of a Small Multidrug Resistance Transporter ‘EmrE’ Suggests the Drug-Resistance Mechanism
ByDr. Tamanna Anwar February 23, 2022June 18, 2022

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 bacterial cells has been identified by MIT researchers. Proteins like this one, discovered in E. coli, are thought to aid in developing antibiotic resistance in bacteria. Multidrug resistance (MDR) is…

Read More Protein Structure of a Small Multidrug Resistance Transporter ‘EmrE’ Suggests the Drug-Resistance Mechanism
AMR Alert | Antibiotic Resistance | Bioinformatics | Drug Discovery | News | Structural Biology

Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance
ByDr. Tamanna Anwar February 22, 2022October 22, 2026

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 (MRSA). The researchers revealed how a single small mutation affects therapeutic efficacy in a study published in PLOS Computational Biology. Antimicrobial resistance is an important public health issue worldwide. New resistance…

Read More Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance
AMR Alert | Antibiotic Resistance | Bioinformatics | Deep Learning | Machine Learning | News | Paper Summary

Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data
BySwati Yadav February 18, 2022November 8, 2022

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 Machine Learning algorithms: logistic regression, random forest, and 1D CNN with the use of a training dataset of 10,575 MTB isolates obtained from 16 countries, where an extended pan-genome reference was…

Read More Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data
AI | AMR Alert | Biotech | Covid-19 News | Health | Machine Learning | News | Trending

Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk of Future Heart Attack
ByDr. Tamanna Anwar January 16, 2022June 18, 2022

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 attack in standard clinical practice is difficult. Cardiovascular risk factors and scores are commonly used to predict the chance of a heart attack, especially in individuals with suspected coronary artery…

Read More Scientists Develop a Model Based on Artificial Intelligence to Predicts Risk of Future Heart Attack
AI | AMR Alert | Bioinformatics | Covid-19 News | Machine Learning | News | OMICS | Trending

AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
ByDr. Tamanna Anwar January 11, 2022June 18, 2022

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 fly’s brain cells. The researchers utilized deep learning to discover how certain sections of DNA influence neuronal identity from birth to adulthood. The Nature study will likely boost AI-driven biomedical research,…

Read More AI Driven Analysis of Cell Diversity in Drosophila melanogaster Brain
AMR Alert | Covid-19 News | Featured | Machine Learning | News | RNA-Seq | Trending

Evaluating gene expression in single cells with a novel computational approach identifies potential therapeutic targets of Atherosclerosis
ByDr. Tamanna Anwar January 10, 2022June 18, 2022

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 have discovered new potential therapeutic targets to treat atherosclerosis and coronary artery disease. The research will assist other scientists in evaluating single-cell genetic data more efficiently as a result of this…

Read More Evaluating gene expression in single cells with a novel computational approach identifies potential therapeutic targets of Atherosclerosis

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AMR Alert

Meet ggCaller: A Fast and Accurate Solution for Pangenome Annotation and Clustering

Scientists Discover Superbug Develops Drug-Resistance to ‘last Resort’ Antibiotic Fast

Scientists Develop a Mathematical Model to Predict the Efficiency of Phage Therapy Against Pathogenic Bacteria

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

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

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

Scientists Discover How Superbugs Employ Mirror Images To Develop Antibiotic Resistance

Scientists Develop a Deep Learning Model for Predicting Tuberculosis Drug Resistance from Genomic Sequence Data

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