Bioinformatics

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 | News
Applying 3D Computational Simulation to Reveal the Secrets of the Genome Structure in the Human Cell Nucleus
ByDr. Tamanna Anwar June 25, 2022July 2, 2022
A research team from Nagoya University in Japan has created a 3-Dimensional computational simulation of the formation of the genome structure in the human cell nucleus. The model is expected to help in understanding cellular regulatory mechanisms and diseases like cancer that modify DNA. Because it influences DNA reading and replication, the three-dimensional shape of…
Read More Applying 3D Computational Simulation to Reveal the Secrets of the Genome Structure in the Human Cell Nucleus
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
Bioinformatics | Health | News | Structural Biology
Scientists Develop Structural 3D Maps of Key Proteins that Go Wrong in Brain Disorders Revealing New Treatment Routes
ByDr. Tamanna Anwar June 21, 2022June 22, 2022
Cold Spring Harbor Laboratory (CSHL) scientist Professor Hiro Furukawa adopts an architectural approach to brain research. He makes structural 3D maps of key proteins that go wrong in brain disorders. Furukawa has focused his research on the NMDA (N-methyl-D-aspartate) receptor, a protein involved in learning and memory. The N-methyl-D-aspartate receptors (NMDARs) are primarily found in…
Read More Scientists Develop Structural 3D Maps of Key Proteins that Go Wrong in Brain Disorders Revealing New Treatment Routes
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
Bioinformatics | COVID-19 | Drug Discovery | Gene Expression | Genomics | GWAS | Machine Learning | News | OMICS | Paper Summary | Trending
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
Bioinformatics | Data Science | Featured | Genomics | News | NGS | Sequencing | Tools | Trending
Scientists Use CRISPR Technology and Perturb-seq to Map Every Human Gene to its Function
ByDr. Tamanna Anwar June 11, 2022June 18, 2022
Scientists from Whitehead Institute and collaborators used Perturb-seq, a single-cell sequencing technology, to link every expressed gene in the human genome to its function in the cell, offering a free resource for other researchers that can be accessed via the internet. The Human Genome Project was a huge undertaking that aimed to sequence every single…
Read More Scientists Use CRISPR Technology and Perturb-seq to Map Every Human Gene to its Function
Bioinformatics | Drug Discovery | Machine Learning | Network Modeling | Neural Network | News | Paper Summary | Trending
Scientists Develop a Novel Probabilistic Generative Model ‘RaptGen’ for Aptamer Generation
ByDr. Tamanna Anwar June 10, 2022October 22, 2026
Scientists from the Graduate School of Advanced Science and Engineering at Waseda University, Japan, developed RaptGen, a variational autoencoder for in silico aptamer generation. RaptGen takes advantage of a profile hidden Markov model decoder to address motif sequences efficiently. The model could accelerate nucleic-acid-based therapeutics. Nucleic acid aptamers are created by an in vitro molecular evolution…
Read More Scientists Develop a Novel Probabilistic Generative Model ‘RaptGen’ for Aptamer Generation
Bioinformatics | Chronic Diseases | Computer Vision | Health | Machine Learning | News | Precision Medicine | Tools | Trending
Scientists Develop a New Computer Vision Model with Improved Proficiency to Differentiate Rheumatoid Arthritis from Osteoarthritis in Damaged Joint Tissue
ByDr. Tamanna Anwar June 9, 2022June 18, 2022
Hospital for Special Surgery (HSS) researchers in New York City have developed a computer vision tool that effectively identifies rheumatoid arthritis (RA) from osteoarthritis (OA) in joint tissue collected from patients who had total knee replacements (TKR). The findings show that the new computer vision model with improved proficiency to differentiate rheumatoid arthritis from osteoarthritis…
Read More Scientists Develop a New Computer Vision Model with Improved Proficiency to Differentiate Rheumatoid Arthritis from Osteoarthritis in Damaged Joint Tissue
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
Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending
ColabFold: A Freely Accessible Protein Folding Tool for Accelerated Prediction of Protein Structures and Complexes
ByTanveen Kaur June 8, 2022February 5, 2024
Scientists have developed ColabFold, an open-source software to accelerate the prediction of protein structures as well as complexes by integrating fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. ColabFold offers a sped-up prediction of protein structures and complexes by consolidating the fast homology search of MMseqs2 with AlphaFold2 or RoseTTAFold. The 40−60-overlap quicker search…
Read More ColabFold: A Freely Accessible Protein Folding Tool for Accelerated Prediction of Protein Structures and Complexes
Bioinformatics | Computational Models | Health | Machine Learning | News | Proteomics | Trending
Scientists Discover New Mass Spectrometry-Based Proteomics Method For Early Detection of Liver Diseases
ByDr. Tamanna Anwar June 7, 2022October 22, 2026
Through mass spectrometry-based proteomics, a German-Danish research team led by Matthias Mann has developed a new screening tool to identify alcohol-related liver disorders at an early stage. Taking two or three drinks every day may put your liver in trouble. Researchers have developed a new tool that uses proteomics and machine learning to predict whether…
Read More Scientists Discover New Mass Spectrometry-Based Proteomics Method For Early Detection of Liver Diseases
Bioinformatics | Cancer Research | Computational Models | Drug Discovery | News | Trending
Scientists Develop a Novel Approach for Early Disease Diagnosis Using DNA Droplets
ByDr. Tamanna Anwar June 6, 2022October 22, 2026
Scientists at Tokyo Tech have produced computational DNA droplets that can recognize specific patterns in tumor biomarker microRNA sequences by merging the technologies of DNA droplets and DNA computing. When integrated into biomolecular robots and artificial cells, the technology will have potential applications in cancer diagnosis, drug resistance analysis, and residual tumor detection. DNA droplets…
Read More Scientists Develop a Novel Approach for Early Disease Diagnosis Using DNA Droplets
Bioinformatics | Cancer Research | Chemoinformatics | Machine Learning | News | Structural Biology
A New Computer Simulation Coupled with Machine Learning Cracked the Mechanism of Cancer Drug Resistance
ByDr. Tamanna Anwar June 5, 2022June 18, 2022
A team led by the University of Maryland utilizes machine learning to explain why a “wonder drug” may not work in all patients. Understanding how mutations cause a medicine to become ineffective is a huge issue. The mechanism by which mutations produce drug resistance is frequently discussed solely in terms of thermodynamics. The case where…
Read More A New Computer Simulation Coupled with Machine Learning Cracked the Mechanism of Cancer Drug Resistance
AI | Bioinformatics | Cancer Research | Infectious Diseases | News | Tools
An Automated AI-Based Software ‘TrackMate v7’ for Tracking Things in Bioimages
ByDr. Tamanna Anwar June 4, 2022June 18, 2022
Scientists from Akademi University, Turku, Finland, and Pasteur Institute, Paris, France have developed a new software TrackMate v7 that may allow tracking things in photos. The technology, which is based on artificial intelligence, will serve as a catalyst for future discoveries in the biological sciences. Object tracking, or following objects across time, is a critical…
Read More An Automated AI-Based Software ‘TrackMate v7’ for Tracking Things in Bioimages
Cancer Research | Drug Discovery | News | Structural Biology | Trending
Scientists Discover How Protein Production is Regulated to Keep the Cells Healthy
ByDr. Tamanna Anwar June 1, 2022October 22, 2026
Scientists from Cold Spring Harbor Laboratory (CSHL) have discovered a key process which shows how protein production is regulated to keep the cells healthy. Scientists believe that this mechanism is common in many different species and that it could one day aid in the creation of new microRNA-based medical therapeutics. Proteins are made in cells…
Read More Scientists Discover How Protein Production is Regulated to Keep the Cells Healthy
Bioinformatics | Cancer Research | News | NGS | Paper Summary | Precision Medicine | Trending
PGDx Elio Tissue Complete – An Automated and FDA-Approved Clinical Genomics Assay for Comprehensive Genomic Profiling of Human Cancer
ByTanveen Kaur May 30, 2022November 9, 2022
PGDx Elio tissue complete, which the FDA has approved for the analysis of 505 cancer-related genes, will enable the development of more effective precision oncology treatment options. The researchers from Personal Genome Diagnostics Inc. (PGDx) explain the developmental and analytical validation processes of the PGDx elio tissue complete test. It is an automated NGS-based approach…
Read More PGDx Elio Tissue Complete – An Automated and FDA-Approved Clinical Genomics Assay for Comprehensive Genomic Profiling of Human Cancer
Antibiotic Resistance | Biotech | Drug Discovery | News | Trending
Scientists Identify New Mechanism in Small Peptide that Shows Huge Potential to Treat Antibiotic-Resistant Bacteria
ByDr. Tamanna Anwar May 28, 2022October 22, 2026
Scientists used neutrons to learn more about how aurein 1.2, an antimicrobial peptide (AMP) that attacks bacteria’s membranes, kills antibiotic-resistant bacteria. The research will be crucial in identifying and developing more efficient and cost-effective AMPs. Antibiotic drugs have saved countless lives by preventing and treating bacterial infections since the discovery of penicillin more than 90…
Read More Scientists Identify New Mechanism in Small Peptide that Shows Huge Potential to Treat Antibiotic-Resistant Bacteria
AI | Bioinformatics | Deep Learning | News | RNA-Seq | Trending
Scientists Employ RNA Velocity and Deep Learning to Study Gene Regulation Dynamics During Cell Cycle
ByTanveen Kaur May 27, 2022November 9, 2022
Scientists have developed DeepCycle, a deep learning approach combined with RNA velocity to reveal cell cycle gene regulation. This methodology is particularly appropriate to study the interplay of the cell cycle with pluripotency and cell reprogramming. The method could lead to the discovery of cell-cycle dysregulated mechanisms in malignancies, as well as prospective therapeutic targets. Even…
Read More Scientists Employ RNA Velocity and Deep Learning to Study Gene Regulation Dynamics During Cell Cycle
Bioinformatics | Corona Virus | COVID-19 | Covid-19 News | Drug Discovery | News | Structural Biology | Trending
Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
ByDr. Tamanna Anwar May 26, 2022October 22, 2026
Controlling the spread of the highly contagious disease and protecting human health requires developing new medications that stay effective against growing COVID-19 variations. After spending more than two years studying SARS-CoV-2, the virus that causes COVID-19, the researchers at the Department of Energy’s (DOE) Oak Ridge National Laboratory (ORNL) are designing and testing small-molecule antivirals…
Read More Scientists Develop Hybrid Molecules by Drug Repurposing in an Effort to Design New Drugs to Treat Covid-19
AI | Bioinformatics | Drug Discovery | Facts | Machine Learning | Trending
The Future of Medicine is Here: Top Tech Transforming Drug Discovery
ByAnjali Soni May 24, 2022October 22, 2026
The advent of technological advances such as artificial intelligence (AI), machine learning (ML), automation, robotics, etc., has accelerated the pace of drug discovery as well as the constancy maintained by the automated procedure reduces human errors and provides improved data quality. The goal of drug discovery and development is to bring new medicines to patients…
Read More The Future of Medicine is Here: Top Tech Transforming Drug Discovery
Bioinformatics | Genomics | News | Sequencing | Trending | Virus
First Draft of Monkeypox Virus Genome Sequenced from Current Outbreak Patient
ByDr. Tamanna Anwar May 24, 2022June 18, 2022
In a quest to understand why the monkeypox virus, which is a less lethal relative of smallpox, has infected so many people around the world, the scientists have sequenced its genome. The first draft genome sequence of the monkeypox virus was released recently, derived from a swab of a confirmed case of the current outbreak….
Read More First Draft of Monkeypox Virus Genome Sequenced from Current Outbreak Patient
AI | Algorithm | Bioinformatics | Deep Learning | Health | Machine Learning | News | Paper Summary | Tools
Scientists Develop a Machine Learning Algorithm that uses Electronic Health Records to Predict Mental Health Crisis
ByTanveen Kaur May 23, 2022December 28, 2022
Scientists from Koa Health and Birmingham and Solihull Mental Health NHS Foundation Trust developed a machine learning model that uses electronic health records to detect the risk of a mental health crisis in patients over 28 days. The machine-learning algorithm continuously monitors patients for the possibility of a mental health crisis using anonymized electronic health…
Read More Scientists Develop a Machine Learning Algorithm that uses Electronic Health Records to Predict Mental Health Crisis
Bioinformatics | News | NGS | RNA-Seq | Sequencing | Trending
Resistance Genes Identified can Predict Response to Arthritis Treatment and Lays Foundation for Future Drug Development
ByDr. Tamanna Anwar May 22, 2022June 18, 2022
Researchers from the Queen Mary University of London have shown that molecular profiling of diseased joint tissue can significantly impact whether specific medication treatments will work to treat rheumatoid arthritis (RA) patients. The researchers also discovered certain genes linked to resistance to most available medications, a condition known as refractory illness, which could lead to…
Read More Resistance Genes Identified can Predict Response to Arthritis Treatment and Lays Foundation for Future Drug Development
Algorithm | Bioinformatics | Genomics | Machine Learning | News | NGS | Sequencing | Tools | Trending
‘BWA-MEME’ – Machine Learning-Based Short Read Alignment Algorithm to Speed up DNA Sequencing
ByDr. Tamanna Anwar May 21, 2022June 18, 2022
The algorithm is the first full-fledged machine learning-based short read alignment algorithm to speed up DNA sequencing, that efficiently uses learned indices to solve the exact match search issue for efficient seeding. The human genome is made up of a whole set of DNA that is around 6.4 billion letters long. Reading the entire genome…
Read More ‘BWA-MEME’ – Machine Learning-Based Short Read Alignment Algorithm to Speed up DNA Sequencing
Bioinformatics | Cancer Research | Computational Models | Gene Expression | Machine Learning | News | OMICS | Paper Summary | Trending
Scientists Develop a Machine Learning-Based Framework to Identify Shared and Disease-Specific Host Gene-Microbiome Associations Across Human Diseases
ByTanveen Kaur May 20, 2022December 28, 2022
Scientists from the University of Minnesota, Minneapolis, USA, with their collaborators, developed a machine learning framework for a multi-omic integration to identify the shared and disease-specific host gene microbiome associations across human diseases. They identified the associations between gut microorganisms and host genes that portray shared as well as disease explicit patterns. While gut microbiome…
Read More Scientists Develop a Machine Learning-Based Framework to Identify Shared and Disease-Specific Host Gene-Microbiome Associations Across Human Diseases
Bioinformatics | Blog | Education | Facts | Featured | Learn Bioinformatics
What is Bioinformatics?
ByDr. Tamanna Anwar May 19, 2022January 6, 2024
Today’s sequencing technologies are growing more advanced and producing larger and larger volumes of data in the range of exa- and zettabytes. Advanced algorithms and applications developed in bioinformatics are becoming increasingly vital in answering the underlying biological concerns of interpreting such massive amounts of data on a big scale. In this article, let’s see…
Read More What is Bioinformatics?
AI | Bioinformatics | Cancer Research | Deep Learning | Machine Learning | News | Paper Summary | Tools | Trending
‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer
ByTanveen Kaur May 18, 2022November 9, 2022
CancerVar leverages machine learning frameworks to evaluate the potential relevance of somatic cancer mutations in terms of cancer diagnosis, prognosis, and targetability, in addition to simply discovering them. Researchers at Children’s Hospital of Philadelphia (CHOP) developed CancerVar, a novel machine learning empowered tool to interpret somatic variants in cancer. CancerVar can be accessed either as…
Read More ‘CancerVar’ – A New Machine Learning Empowered Tool to Interpret Somatic Variants in Cancer
AI | Bioinformatics | Biomedical Engineering | Machine Learning | News | Trending
Enzyme Engineered by Structure-Based Machine Learning Degrades Plastic Waste in Hours to Days
ByDr. Tamanna Anwar May 17, 2022June 18, 2022
A team of scientists and engineers at the University of Texas at Austin created an enzyme that could break down environmentally damaging polymers in hours to days instead of centuries. The breakthrough discovery published in Nature could help to tackle one of the world’s most important environmental issues: how to deal with the billions of…
Read More Enzyme Engineered by Structure-Based Machine Learning Degrades Plastic Waste in Hours to Days
Biotech | News | Structural Biology | Trending
Researchers Puzzled by the Structure of Key Protein Implicated in Cell Division
ByDr. Tamanna Anwar May 16, 2022June 18, 2022
Researchers from the Max Planck Institute reveal the first 3D image of the CCAN protein complex and highlight basic questions about the development of artificial chromosomes. At the heart of human cell division are hundreds of proteins. Understanding how our genetic material is reproduced and transmitted down through generations requires understanding the 3D structure of…
Read More Researchers Puzzled by the Structure of Key Protein Implicated in Cell Division
Bioinformatics | Deep Learning | Neural Network | News | Paper Summary | Tools | Trending
‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks
ByTanveen Kaur May 16, 2022November 9, 2022
Scientists formulate a deep learning framework, DeepRank, for the data mining of 3D protein-protein interfaces. They demonstrated the efficiency and readiness of DeepRank on two unique difficulties in structural biology. 3D structures of protein complexes give essential data to decipher biological processes at the molecular scale. The huge measure of experimentally and computationally resolved protein-protein…
Read More ‘DeepRank’ – A Deep Learning Framework for Data Mining Protein-Protein Interfaces Using 3D Convolutional Neural Networks
AI | Bioinformatics | Computational Models | Covid-19 News | Deep Learning | Machine Learning | Neural Network | News | Paper Summary | Structural Biology | Trending
A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
ByTanveen Kaur May 14, 2022November 9, 2022
A deep learning-based method for predicting the biophysical and biochemical features of protein-ligand complexes developed by researchers could help discover new drug candidates. Scientists formulate novel parallel graph neural networks for decoding protein-ligand interactions. This methodology can serve as an interpretable and explainable artificial intelligence (AI) tool for predicted activity, potency, and biophysical properties of…
Read More A Novel Parallel Graph Neural Networks Based Method for Decoding Protein-Ligand Interactions
Bioinformatics | Biotech | Corona Virus | COVID-19 | Covid-19 News | News | Trending
SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
ByDr. Tamanna Anwar May 13, 2022June 18, 2022
The National Institutes of Health’s discovery could lead to new approaches to tackle future SARS-CoV-2 variants. According to a study by experts at the National Institutes of Health, unlike other SARS-CoV-2 variants, the Delta variant can bind to copies of itself, generating larger aggregations, or clumps, of virus particles. According to the researchers, this connecting…
Read More SARS-CoV-2 Delta Variant’s Unique Binding Leads to High Transmissibility
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
Bioinformatics | COVID-19 | Covid-19 News | Drug Discovery | News | Paper Summary
Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease
ByTanveen Kaur May 12, 2022October 22, 2026
Scientists from the University of Helsinki, Broad Institute, and Harvard Medical School have revealed the human genetic epidemiology of the COVID-19 disease caused by SARS-CoV-2. The study indicates that the genetic association studies have been particularly fast in conveying new genetic signals underlying COVID-19 severity and disease susceptibility and can advance the treatment significantly. Human…
Read More Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease
AI | Bioinformatics | Biomedical Engineering | Blog | Cancer Research | Education | Facts | Featured | Health | Machine Learning | Trending
Top 10 Applications of Artificial Intelligence in Healthcare
ByAnjali Soni May 11, 2022December 28, 2022
Top 10 Applications of Artificial Intelligence in Healthcare in 2022 and Beyond The healthcare industry has always been one of the leaders in using technology to make lives better and more efficient. Artificial intelligence (AI) in healthcare has started to enter the market, but it’s not just used as an additional tool — it’s transforming…
Read More Top 10 Applications of Artificial Intelligence in Healthcare

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Bioinformatics

Applying 3D Computational Simulation to Reveal the Secrets of the Genome Structure in the Human Cell Nucleus

Scientists Develop Structural 3D Maps of Key Proteins that Go Wrong in Brain Disorders Revealing New Treatment Routes

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

A New Computer Simulation Coupled with Machine Learning Cracked the Mechanism of Cancer Drug Resistance

An Automated AI-Based Software ‘TrackMate v7’ for Tracking Things in Bioimages

Scientists Develop a Machine Learning Algorithm that uses Electronic Health Records to Predict Mental Health Crisis

What is Bioinformatics?

Scientists Revealed the Human Genetic Epidemiology of the COVID-19 Disease

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