Bioinformatics | Genomics | News | NGS | OMICS | Sequencing | Trending

Scientists from Seven Bridges Genomics Show how Utilizing Population-Specific Genome Graphs Improves High-throughput Sequencing Data Analysis
ByTanveen Kaur August 10, 2022August 11, 2022

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 the current human genome reference’s inadequacy in representing the varied genetic information from various human populations and its incapability to maintain the same level of accuracy for non-European ancestries, graph-based…

Read More Scientists from Seven Bridges Genomics Show how Utilizing Population-Specific Genome Graphs Improves High-throughput Sequencing Data Analysis
Bioinformatics | Computational Models | Drug Discovery | Infectious Diseases | News | Trending | Virus

Scientists Propose a Computational Approach for Predicting HIV Combination Therapies to Prevent Viral Escape and Rebound
ByDr. Tamanna Anwar August 9, 2022October 22, 2026

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 broadly neutralizing antibodies (bNAbs) which may aid in the treatment of HIV while reducing the possibility that the virus will evolve to “escape” treatment. The study published in the journal eLife…

Read More Scientists Propose a Computational Approach for Predicting HIV Combination Therapies to Prevent Viral Escape and Rebound
Bioinformatics | Corona Virus | COVID-19 | News | Paper Summary | Structural Biology | Trending

Scientists Recognize Extended Continuous Similarity Indices as a Novel Tool to Study the Conformational Diversity in Molecular Dynamics Simulation
ByTanveen Kaur August 8, 2022August 8, 2022

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 application of the extended continuous similarity indices to describe the conformational diversity in a set of structures. A fundamental approach to molecular modeling and computational design for the investigation of the…

Read More Scientists Recognize Extended Continuous Similarity Indices as a Novel Tool to Study the Conformational Diversity in Molecular Dynamics Simulation
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
Bioinformatics | Corona Virus | COVID-19 | Deep Learning | Drug Discovery | Health | Infectious Diseases | News | Paper Summary | Structural Biology | Trending

Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
BySrishti Sharma August 6, 2022October 22, 2026

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 life cycle. Scientists from National Research Centre, Egypt, targeted Endoribonuclease, which is one of the crucial non-structural proteins since it is responsible for processing viral RNA to escape detection by the…

Read More Hierarchical Structure-based Virtual Screening Targeting SARS-CoV-2 Endoribonuclease
Bioinformatics | Health | News | OMICS | Paper Summary | Transcriptomics | Trending

Unveiling Specific Functions of Novel lncRNA Gm20743 using Whole-transcriptome Landscape of Diabetes-related Sarcopenia
ByTanveen Kaur August 5, 2022August 5, 2022

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 2 diabetes mellitus raises the risk of sarcopenia, which is characterized by decreased muscle mass, strength, and function, although the specific process is yet unknown. RNA whole-transcriptome sequencing and informatics…

Read More Unveiling Specific Functions of Novel lncRNA Gm20743 using Whole-transcriptome Landscape of Diabetes-related Sarcopenia
Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Trending

A Deep Unsupervised Language Model ‘ProtGPT2’ for Protein Design
BySrishti Sharma August 4, 2022August 4, 2022

Scientists from the University of Bayreuth, Germany, introduced ProtGPT2, a language model for protein design trained on the protein space that generates de novo protein sequences following the principles of natural ones. ProtGPT2-sequences predicted using AlphaFold result in well-folded, non-idealized structures. ProtGPT2 generates sequences in a fraction of seconds and has open source access. Novel…

Read More A Deep Unsupervised Language Model ‘ProtGPT2’ for Protein Design
Bioinformatics | Data Science | News | Paper Summary | Tools | Trending

Graph Based Visualization and Analysis of High Dimensional Data Using the Platform ‘Graphia’
ByTanveen Kaur August 3, 2022August 3, 2022

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 from research on cells, genes, proteins, and metabolites. A brand-new visual analytics platform called Graphia was developed especially for network-based analysis of enormous and complicated data, such as the vast volumes…

Read More Graph Based Visualization and Analysis of High Dimensional Data Using the Platform ‘Graphia’
AI | Algorithm | Bioinformatics | News | Paper Summary | Tools | Trending

DeepBacs: A Deep Learning Approach to Analyze Bacterial Microscopy Images
BySrishti Sharma August 2, 2022August 2, 2022

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 future researchers to explore the prospective deep learning (DL) applications and employ pre-trained models in their research on a designated platform. Microbiology, the study of microorganisms and their community, is a…

Read More DeepBacs: A Deep Learning Approach to Analyze Bacterial Microscopy Images
Bioinformatics | Data Science | News | Trending

SAMchain – A Blockchain Technology for Storing and Analyzing Genomes
ByTanveen Kaur August 1, 2022August 1, 2022

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 genetic variants. Major initiatives are being made to integrate genome sequencing into clinical practice regularly. Finding workable solutions for data ownership and integrity is a significant hurdle. Blockchain offers answers to…

Read More SAMchain – A Blockchain Technology for Storing and Analyzing Genomes
AI | Algorithm | Bioinformatics | Database | Drug Discovery | News | Structural Biology | Tools | Trending

Deepmind’s AlphaFold Predicted the Structures of all the Proteins Known to Science, Expanding the AlphaFold DB by Over 200x
ByDr. Tamanna Anwar July 30, 2022October 22, 2026

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 cataloged proteins available to the scientific community for free and without restrictions. It has been a year since AlphaFold was made available for free worldwide distribution and AlphaFold Protein Structure Database…

Read More Deepmind’s AlphaFold Predicted the Structures of all the Proteins Known to Science, Expanding the AlphaFold DB by Over 200x
AI | Algorithm | Bioinformatics | Cancer Research | Computational Models | Deep Learning | Health | Neural Network | News | Paper Summary | Trending

Scientists Develop Digital Pathology Models without Human Intervention by Integrating Clinical Healthcare Data with AI
ByTanveen Kaur July 29, 2022November 11, 2022

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 cancer diagnostics model developed in the study for empowering digital pathology limits the human effort to a minimum. Deep learning algorithms’ improved performance and the digitization of healthcare operations are opening…

Read More Scientists Develop Digital Pathology Models without Human Intervention by Integrating Clinical Healthcare Data with AI
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
Bioinformatics | Database | Genomics | News | NGS | Sequencing | Trending

The UK Biobank Released the Largest Set of Whole Genome Sequences Together with Population Genetics and Trait Association Studies for 150,119 Individuals
ByTanveen Kaur July 26, 2022November 11, 2022

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 and 585,040,410 single-nucleotide polymorphisms, or 7.0 percent of all potential single-nucleotide polymorphisms in humans. A thorough and trustworthy characterization of both sequences and phenotypic variation is necessary to gain a thorough…

Read More The UK Biobank Released the Largest Set of Whole Genome Sequences Together with Population Genetics and Trait Association Studies for 150,119 Individuals
AI | Bioinformatics | Biomedical Engineering | Computational Models | Data Science | Health | Machine Learning | News | Trending

Advanced AI in Brain Imaging Captures Dynamic Mental Illness Markers
ByDr. Tamanna Anwar July 25, 2022July 25, 2022

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 result in early detection. For a recent study published in Nature Scientific Reports, a team of seven scientists from Georgia State University created a sophisticated computer program to sift through enormous…

Read More Advanced AI in Brain Imaging Captures Dynamic Mental Illness Markers
Biomedical Engineering | Featured | Health | News | Trending

Scientists Device a Biosensor Integrated ‘Smart Necklace’ to Track Health Status Through Sweat
ByDr. Tamanna Anwar July 24, 2022December 28, 2022

A biosensor integrated smart necklace has been successfully tested by scientists from the Ohio State University and the University of Wisconsin, Madison, that could one day use the chemical biomarkers in sweat to identify changes in a person’s health. A team presented a wireless, battery-free biochemical sensor that could detect the blood sugar or glucose…

Read More Scientists Device a Biosensor Integrated ‘Smart Necklace’ to Track Health Status Through Sweat
Bioinformatics | Cancer Research | News | Paper Summary | Trending

AACR Project GENIE – An International Pancancer Project Strengthening Precision Medicine
ByTanveen Kaur July 23, 2022December 28, 2022

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 well as connects cancer researchers from around the world. The AACR Project GENIE is known to be an international pan-cancer registry with the objective to illuminate cancer research and clinical consideration…

Read More AACR Project GENIE – An International Pancancer Project Strengthening Precision Medicine
AI | Bioinformatics | Biomedical Engineering | Health | Infectious Diseases | Machine Learning | News | Tools | Trending

AI-Based Early Warning System for Sepsis Prevents Thousands of Deaths
ByDr. Tamanna Anwar July 22, 2022November 9, 2022

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 and progresses rapidly. Early diagnosis and treatment of sepsis are associated with better patient outcomes. Early warning systems based on machine learning may shorten the diagnosis time, but only a few…

Read More AI-Based Early Warning System for Sepsis Prevents Thousands of Deaths
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Genomics | News | NGS | Paper Summary | Sequencing | Trending

Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance of SARS-CoV-2 Genomic Variants in Wastewater
ByTanveen Kaur July 21, 2022November 11, 2022

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 (Co-Occurrence adjusted Analysis and Calling). The genomic sequencing, in conjunction with COJAC, can offer population-level estimates of the prevalence and fitness of emerging variants from wastewater samples earlier and on the basis…

Read More Scientists Devised a Bioinformatics Method ‘COJAC’ for Early Detection and Surveillance of SARS-CoV-2 Genomic Variants in Wastewater
Biotech | Cancer Research | Drug Discovery | News | Trending

Replication Stalling and Recovery within Repetitive DNA Plays a Role in the Onset of Cancer
ByDr. Tamanna Anwar July 20, 2022October 22, 2026

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 cancer. Repeated DNA is a significant potential source of endogenous replication stress and has shown how the eukaryotic replisome can handle challenging sequences. The research demonstrates how non-coding DNA might obstruct…

Read More Replication Stalling and Recovery within Repetitive DNA Plays a Role in the Onset of Cancer
Bioinformatics | Cancer Research | Deep Learning | News | Transcriptomics | Trending

SpaceFlow – A Deep Learning Framework to Integrate Spatiotemporal Information in Analyzing Spatial Transcriptomic Data
ByTanveen Kaur July 19, 2022November 11, 2022

Scientists from the University of California Irvine introduced SpaceFlow, which, by the utilization of spatially regularized deep graph networks, combines expression similarity with geographical information to provide spatially-consistent low-dimensional embeddings. Applications of SpaceFlow show evolving lineage in data on heart development and tumor-immune interactions in data on human breast cancer. The simultaneous integration of cell…

Read More SpaceFlow – A Deep Learning Framework to Integrate Spatiotemporal Information in Analyzing Spatial Transcriptomic Data
AI | Algorithm | Bioinformatics | Computational Models | Health | News | Trending

Novel ‘Fuzzy’ AI Algorithms to Help Patients with Memory Loss
ByDr. Tamanna Anwar July 18, 2022July 18, 2022

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 that uses the novel algorithm to aid those with memory loss has also been developed by the associate professor in the Faculty of Applied Science & Engineering’s Edward S. Rogers…

Read More Novel ‘Fuzzy’ AI Algorithms to Help Patients with Memory Loss
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | News | Structural Biology | Trending

Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
ByTanveen Kaur July 16, 2022November 11, 2022

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, suggesting a single mode of action. Understanding the molecular distinctions of emerging SARS-CoV-2 variants is essential because they raise questions about the capacity to endure the Covid-19 pandemic. Using crystallographic structures…

Read More Contact Perturbation Analysis of the SARS-CoV-2 Delta Variant Singular Interface Dynamics
Bioinformatics | Cancer Research | Chronic Diseases | Drug Discovery | Health | News | Structural Biology | Trending

A Novel Protein Structure ‘SHOC2-MRAS-PP1C (SMP) Complex’ Offers ways to Target RAS-Pathway Proteins in Cancer
ByDr. Tamanna Anwar July 15, 2022October 22, 2026

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 binding sites for cancer drugs. One of the most well-known causes of cancer is RAS gene mutations, which result in tumor formation in about 25% of cancer patients. Broad Institute of…

Read More A Novel Protein Structure ‘SHOC2-MRAS-PP1C (SMP) Complex’ Offers ways to Target RAS-Pathway Proteins in Cancer
Bioinformatics | Health | Metabolomics | News | Trending

Untargeted Metabolomics – A Novel Technique for Identifying a Vast Number of Compounds Obtained from the Food we Eat
ByTanveen Kaur July 13, 2022November 11, 2022

How much of our body chemistry is related to what we eat can be determined through untargeted metabolomics by comparing blood or stool samples to a reference database of foods. A team of international scientists, led by investigators at the University of California San Diego, introduced untargeted metabolomics – a new method to determine the…

Read More Untargeted Metabolomics – A Novel Technique for Identifying a Vast Number of Compounds Obtained from the Food we Eat
AI | Bioinformatics | Drug Discovery | News | OMICS | Paper Summary | Tools | Trending

PandaOmics: An AI-Enabled Biological Target Discovery Platform Used to Identify Amyotrophic Lateral Sclerosis Therapeutic Targets
ByTanveen Kaur July 12, 2022October 22, 2026

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) and central nervous system samples from public datasets. The discovery of novel therapy regimens is urgently needed for the severe neurological disease amyotrophic lateral sclerosis, which has unclear pathophysiology. Here, the…

Read More PandaOmics: An AI-Enabled Biological Target Discovery Platform Used to Identify Amyotrophic Lateral Sclerosis Therapeutic Targets
Bioinformatics | Deep Learning | Neural Network | News | Structural Biology | Trending

Identification of Physiological and Adventitious Metal-Binding Sites in Protein 3D Structures Using a Deep Neural Network-Based Classifier
ByTanveen Kaur July 9, 2022November 9, 2022

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 3D structure of metalloproteins. The Protein Data Bank contains at least one metal ion in 38% of protein structures. Not all of these metal sites, nevertheless, have biological significance. Protein-metal complexes…

Read More Identification of Physiological and Adventitious Metal-Binding Sites in Protein 3D Structures Using a Deep Neural Network-Based Classifier
Bioinformatics | Cancer Research | News | Paper Summary | Structural Biology | Trending

Scientists Identify Cancer Triggers that may Lead to Targeted Drug Therapies in Fighting Variety of Cancers
ByTanveen Kaur July 8, 2022November 9, 2022

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 plant-microbe biology to a cancer trigger in humans, the knowledge that had puzzled scientists for decades. The research findings were reported in Nature Communications Biology, which provides a new route for creating…

Read More Scientists Identify Cancer Triggers that may Lead to Targeted Drug Therapies in Fighting Variety of Cancers
AI | Bioinformatics | Deep Learning | Health | Infectious Diseases | News | Trending

AI-Powered Innovative Bacterial Colony Detection System Using a Thin-Film Transistor (TFT) Array – A Technology Often Seen in Mobile Phone Displays
ByDr. Tamanna Anwar July 7, 2022July 7, 2022

A research team led by Professor Aydogan Ozcan from the Electrical and Computer Engineering Department at the University of California, Los Angeles (UCLA) and colleagues have developed an artificial intelligence (AI) powered innovative bacterial colony detection system using a thin-film transistor (TFT) array, which is a widely used technology in mobile phones and other displays….

Read More AI-Powered Innovative Bacterial Colony Detection System Using a Thin-Film Transistor (TFT) Array – A Technology Often Seen in Mobile Phone Displays
AI | Bioinformatics | Corona Virus | COVID-19 | Health | Infectious Diseases | News | Tools | Trending

The Pandemic Readiness Platform ‘IDentif.AI-x’ for Rapid Prioritization of Effective COVID-19 Combination Therapy Regimens
ByTanveen Kaur July 6, 2022November 9, 2022

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 rapid prioritization of COVID-19 optimized combination therapy regimens. By combining a prospective, experimental validation of multi-drug efficacy on a SARS-CoV-2 live virus and Vero E6 assay with a quadratic optimization workflow,…

Read More The Pandemic Readiness Platform ‘IDentif.AI-x’ for Rapid Prioritization of Effective COVID-19 Combination Therapy Regimens
AI | Algorithm | Bioinformatics | Cancer Research | Deep Learning | Health | Neural Network | News | Tools | Trending

TranSalNet – AI System that Simulates Human Vision Holds Potential Application in Cancer Detection
ByDr. Tamanna Anwar July 5, 2022December 28, 2022

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 is most likely to gaze. The researchers claim that the unique method more accurately simulates human vision than any previous system based on human brain mechanics and its ability to discriminate…

Read More TranSalNet – AI System that Simulates Human Vision Holds Potential Application in Cancer Detection
Bioinformatics | Cancer Research | News | NGS | Sequencing | Trending

NT-seq – A New Sequencing Technique for Genome-Wide Mapping of Different Types of DNA Methylation
ByDr. Tamanna Anwar July 3, 2022July 3, 2022

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 in Escherichia coli and Helicobacter pylori genomes were reliably detected by NT-seq, which may also be utilized to find de novo methylation motifs. NT-seq offers a quick and effective way for genome-wide mapping of different…

Read More NT-seq – A New Sequencing Technique for Genome-Wide Mapping of Different Types of DNA Methylation
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
Bioinformatics | Infectious Diseases | News | NGS | Sequencing | Tools | Trending

Computer Scientists from Rice University Develop a Software ‘Emu’ for Accurate Microbial Community Profiling
ByDr. Tamanna Anwar July 1, 2022July 1, 2022

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. According to results generated from simulated datasets and mock communities, Emu is capable of accurate microbial community profiling while obtaining fewer false positives and false negatives than alternative approaches, When determining…

Read More Computer Scientists from Rice University Develop a Software ‘Emu’ for Accurate Microbial Community Profiling
Algorithm | Bioinformatics | Computational Models | Machine Learning | News | Tools | Trending

Scientists Develop a Novel GPU-based Machine Learning Model to Discover Human Brain Connectivity
ByDr. Tamanna Anwar June 30, 2022July 1, 2022

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 brain regions. The researchers present “Regularized, Accelerated, Linear Fascicle Evaluation (ReAl-LiFE)”, a GPU-based execution of a state-of-the-art streamline pruning algorithm (LiFE), which achieves >100× speedups over previous CPU-based implementations. The ReAl-LiFE…

Read More Scientists Develop a Novel GPU-based Machine Learning Model to Discover Human Brain Connectivity
Bioinformatics | Chronic Diseases | News | NGS | RNA-Seq | Trending

Single-Cell Map of Heart Failure Provides Insights into Novel Potential Therapeutic Targets and Biomarkers
ByDr. Tamanna Anwar June 29, 2022June 29, 2022

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 increasingly important public health issue because it comprises a diverse range of clinical characteristics that are all related to reduced heart contractile function. By performing single-nucleus RNA sequencing on nearly…

Read More Single-Cell Map of Heart Failure Provides Insights into Novel Potential Therapeutic Targets and Biomarkers
Bioinformatics | News | NGS | RNA-Seq | Sequencing | Trending

TAS-Seq – A New Sensitive, and Powerful Single-Cell RNA Sequencing Technique Surpasses Competition
ByDr. Tamanna Anwar June 28, 2022June 28, 2022

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 biology and medicine. However, the limitations of scRNA-seq methods include the potential for inaccurate cell composition analysis and the ineffectiveness of complementary DNA (cDNA) amplification, which is the process by which…

Read More TAS-Seq – A New Sensitive, and Powerful Single-Cell RNA Sequencing Technique Surpasses Competition
AI | Bioinformatics | Cancer Research | Cell | News | Tools | Trending

PICASSO Technique Helps Scientists Visualize Biological Molecules into Technicolor
ByDr. Tamanna Anwar June 27, 2022December 28, 2022

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 in a single imaging round without using any reference emission spectra. For a wide spectrum of researchers, the PICASSO technique offers a multiplexed imaging tool with great accessibility and accuracy. According…

Read More PICASSO Technique Helps Scientists Visualize Biological Molecules into Technicolor
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
Bioinformatics | Cancer Research | Network Modeling | News | Trending

Scientists Integrate Genome Mining with PAN Genome Analysis to Discover the Potential of Bacterial Compounds and Genes Linked to Colon Cancer-Causing Toxin
ByDr. Tamanna Anwar June 24, 2022July 2, 2022

Scientists from the Technical University of Denmark (DTU) and the University of California San Diego present a systems biology workflow that integrates genome mining with a detailed pangenome analysis for detecting genes associated with a particular biosynthetic gene clusters (BGCs). The study will help find novel secondary metabolites, comprehend their physiological functions better, and find…

Read More Scientists Integrate Genome Mining with PAN Genome Analysis to Discover the Potential of Bacterial Compounds and Genes Linked to Colon Cancer-Causing Toxin
Bioinformatics | Cancer Research | News | Structural Biology | Trending

Scientists Unravel How DNA Double Helix Structure is Opened to Allow DNA Replication
ByDr. Tamanna Anwar June 23, 2022June 23, 2022

Scientists at the Francis Crick Institute have uncovered how the DNA double helix structure is opened to allow DNA replication. The research could pave the way for additional investigations to understand this mechanism better, particularly how it can go wrong in conditions like cancer. Scientists have struggled to comprehend how the two strands of DNA…

Read More Scientists Unravel How DNA Double Helix Structure is Opened to Allow DNA Replication
Bioinformatics | News | Trending

Scientists Discover a New Mechanism for Endoplasmic Reticulum Sorting of LRR Receptor Kinases in Arabidopsis
ByDr. Tamanna Anwar June 22, 2022June 22, 2022

Scientists from the Chinese Academy of Sciences’ Institute of Genetics and Developmental Biology (IGDB) have discovered a new mechanism that protects the endoplasmic reticulum (ER) sorting of Leucine-Rich Repeat Receptor Kinases (LRR-RKs) in Arabidopsis cells. In eukaryotic cells, protein sorting in the secretory pathway is critical for cellular compartmentalization and homeostasis. The endoplasmic reticulum is…

Read More Scientists Discover a New Mechanism for Endoplasmic Reticulum Sorting of LRR Receptor Kinases in Arabidopsis
AI | Bioinformatics | Cancer Research | Genomics | News | Paper Summary | Trending

Scientists Used a Netflix-Style Algorithm to Create Blueprint of Cancer Genomes
ByTanveen Kaur June 20, 2022November 9, 2022

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 international team of researchers led by Dr. Nischalan Pillay (UCL Cancer Institute) and Dr. Ludmil Alexandrov (University of California, San Diego) used AI to identify 21 frequent faults in the…

Read More Scientists Used a Netflix-Style Algorithm to Create Blueprint of Cancer Genomes
Bioinformatics | News | Trending | Virus

Supercomputing Helps Discover Weaknesses in HIV-1 Virus Capsid
ByDr. Tamanna Anwar June 19, 2022June 19, 2022

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 into white blood cells, where it delivers its genetic payload and hijacks the cell’s transcription machinery, which produces copies of viral RNA and new HIV-1 viruses. Though, many details remain unclear….

Read More Supercomputing Helps Discover Weaknesses in HIV-1 Virus Capsid
Bioinformatics | Cancer Research | News | NGS | RNA-Seq | Trending

Repurposing Progesterone Altering Drug to Diminish the Risk of Severe Triple Negative Breast Cancer
ByDr. Tamanna Anwar June 18, 2022December 28, 2022

According to new research headed by University College London experts existing drugs that affect the impact of the hormone progesterone, such as mifepristone, have been found to reduce the risk of severe triple negative breast cancer in women with a BRCA1 gene mutation. In premenopausal women, breast cancer is the main cause of death. Progesterone…

Read More Repurposing Progesterone Altering Drug to Diminish the Risk of Severe Triple Negative Breast Cancer
AI | Bioinformatics | Cancer Research | Deep Learning | News | Paper Summary | Trending

Disease Prognosis Using Deep Learning and H&E Images – Emerging Tool for Clinical Trial Optimization
ByTanveen Kaur June 17, 2022September 2, 2022

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 via computational methodology. For treatment choices and disease outcome monitoring, it is highly clinically relevant to understand the variables that affect a cancer patient’s prognosis. The use of whole slide images…

Read More Disease Prognosis Using Deep Learning and H&E Images – Emerging Tool for Clinical Trial Optimization
Bioinformatics | Genomics | News | Paper Summary | Tools | Trending

Scientists Develop a New Computational Tool ‘Grit’ to Identify Upstream Transcription Factor Binding Sites More Accurately
ByTanveen Kaur June 16, 2022June 16, 2022

Scientists from Yangtze University, Jingzhou, China developed a computational tool, “Grit,” to identify the upstream transcription factor binding sites in orthologous genes by the utilization of mixed Student’s t-test statistics. The transcription factor (TF) regulates the transcription of DNA to messenger RNA or mRNA by binding to upstream sequence motifs. Distinguishing the locations of known…

Read More Scientists Develop a New Computational Tool ‘Grit’ to Identify Upstream Transcription Factor Binding Sites More Accurately
Drug Discovery | Infectious Diseases | News | Trending

Scientists Elucidate How Bacteria Communicate Their Way To Causing Infection
ByDr. Tamanna Anwar June 15, 2022October 22, 2026

Scientists at Oregon State University revealed how bacteria communicate their way to causing infection. The researchers discovered proteins that prevent a bacterial cell from being misled by its own communications, allowing it to wait for group communication instead. The research highlights the functional importance of antiactivators in the maintenance of group-level signaling and tests long-held…

Read More Scientists Elucidate How Bacteria Communicate Their Way To Causing Infection
Bioinformatics | Cancer Research | Drug Discovery | News | NGS | RNA-Seq | Structural Biology | Trending

Scientists Synthesize a New Molecule with the Ability to Kill a Broad Spectrum of Hard-to-Treat Cancers
ByDr. Tamanna Anwar June 14, 2022October 22, 2026

Scientists have developed ERX-41, a potent therapeutic drug with a well-defined molecular target (Lysosomal Acid Lipase, LAL) and mechanism of action (disruption of protein folding and production of ER stress) that could be useful in the treatment of patients with multiple solid cancers (Hard to Treat Cancers). Scientists from the University of Texas, Dallas synthesized…

Read More Scientists Synthesize a New Molecule with the Ability to Kill a Broad Spectrum of Hard-to-Treat Cancers
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Transcriptome-Wide Association Studies Integrated with 3D Genomic and Epigenomic Data used to Improve Target Gene Discovery and Drug Repurposing
ByTanveen Kaur June 13, 2022October 22, 2026

Scientists from Pennsylvania State University integrated 3D genomic and epigenomic data with transcriptome-wide association studies data to improve gene expression predictions. The researchers propose an integrative method PUMICE that integrates 3D genomic and epigenomic data with expression quantitative trait loci (eQTL) to predict gene expressions more accurately. An extension of the method PUMICE +, also combines transcriptome-wide…

Read More Transcriptome-Wide Association Studies Integrated with 3D Genomic and Epigenomic Data used to Improve Target Gene Discovery and Drug Repurposing

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