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Bioinformatics and computational biology news: new methods, tools and findings from recent research, explained clearly.

Bioinformatics | Cancer Research | Chronic Diseases | Health | News | Paper Summary | Proteomics | Transcriptomics | Trending
Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
ByTanveen Kaur August 21, 2022October 22, 2026
Scientists from the Central South University, China, developed a novel Tumor Treating Fields ‘TTFields’ system named “CL-301A” and showcase its efficacy in the suppression of glioblastoma cell proliferation and induction of cell apoptosis. One of the most dangerous types of brain cancer is glioblastoma. The most recent method of treating glioblastoma (GBM) is called tumor…
Read More Tumor Treating Fields Against Glioblastoma: Identification of Potential Targets through Whole Transcriptome and Proteome Analyses
Bioinformatics | Database | Drug Discovery | Education | GWAS | News | Paper Summary | Trending
Genebass – A New Online Resource that Links Rare Genetic Variants to Human Health and Disease
BySrishti Sharma August 20, 2022October 22, 2026
Researchers at the Broad Institute of MIT and Harvard have developed Genebass, a free online browser that will assist other researchers and clinicians studying specific genes in linking rare genetic variants with disease phenotypes. Genebass represents a genetic analysis of nearly 400,000 people from the UK Biobank and may assist researchers in identifying potential novel therapeutic…
Read More Genebass – A New Online Resource that Links Rare Genetic Variants to Human Health and Disease
Bioinformatics | Cancer Research | Deep Learning | Neural Network | News | Trending
Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s Survival Rate
ByDr. Tamanna Anwar August 19, 2022August 22, 2022
A research team at Seoul National University (SNU) developed deep learning technology that can more accurately predict a cancer patient’s survival rate. According to the research published today in the journal Nature Biomedical Engineering, computational pathology methods for analyzing whole-slide images (WSIs) typically do not take histopathological features from the tumor microenvironment into account. In…
Read More Deep Learning Technology Developed by SNU Researchers Helps Predict Cancer Patient’s Survival Rate
Bioinformatics | Biomedical Engineering | Corona Virus | COVID-19 | Covid-19 News | Health | Infectious Diseases | Machine Learning | News | Paper Summary | Trending
Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
ByTanveen Kaur August 19, 2022August 19, 2022
Universitas Gadjah Mada, Indonesia, scientists developed a low-cost, non-invasive method to rapidly sniff out COVID-19 by using an electronic nose named “GeNose C19”. The method of RT-qPCR, which stands for a reverse transcription-quantitative polymerase chain reaction, has been widely utilized to identify the SARS-CoV-2 virus that causes COVID-19. However, clinicians frequently prefer to use a…
Read More Scientists Introduce ‘GeNose C19’ a Quick Screening Tool for Sniffing Out COVID-19 Based on Exhaled Breath-print Recognition
AI | Bioinformatics | Health | News | Paper Summary | Trending
Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
BySrishti Sharma August 18, 2022August 18, 2022
Scientists from The City University of New York present a protocol for collecting and analyzing data for KBG syndrome that emphasizes the use of videoconference and artificial intelligence (AI). Based on this information, the authors make recommendations for diagnostic and treatment approaches for KBG syndrome. The study reports 25 previously unpublished individuals from 22 families…
Read More Facial Phenotyping using Artificial Intelligence and Videoconferencing for KBG Syndrome
Bioinformatics | Cancer Research | Data Science | News | NGS | RNA-Seq | Trending
Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis from Basics to Clinics
ByTanveen Kaur August 17, 2022August 17, 2022
Scientists from the Swiss Institute of Bioinformatics devise a workflow known as Single Cell Analysis mRNA Pipeline, ‘scAmpi,’ for providing complete functionality to scRNA-seq data analysis. In order to understand tissue composition at the single-cell level, to shed light on disease processes, tumor heterogeneity, and the condition of the immune milieu, single-cell RNA sequencing (scRNA-seq) has…
Read More Scientists Developed a Versatile Pipeline ‘scAmpi’ for Single-cell RNA-seq Data Analysis from Basics to Clinics
Bioinformatics | Cancer Research | Cell | Computational Models | Machine Learning | News | Paper Summary | RNA-Seq | Trending
A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the Single-cell Level
BySrishti Sharma August 16, 2022August 16, 2022
A tumor is a complex tissue of cancerous cells associated with a heterogeneous cellular microenvironment. Using single-cell sequencing, tumor cells can be molecularly characterized. Identifying tumor cells within single-cell or spatial sequencing experiments is particularly challenging due to cell annotation, which assigns cell type or state to each sequenced cell. Ikarus is a machine learning…
Read More A New Machine Learning Algorithm ‘Ikarus’ Identifies Tumor Cells at the Single-cell Level
Bioinformatics | Cancer Research | Computational Models | COVID-19 | Covid-19 News | Drug Discovery | News | OMICS | Paper Summary | Trending
iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and Signatures of Cellular Perturbations
ByTanveen Kaur August 15, 2022October 22, 2026
The University of Cincinnati scientists introduce iLINCS, an integrative web-based platform for analyzing OMICS data and markers of cellular disturbances. The user-friendly interfaces of iLINCS allow for the execution of sophisticated omics signature analyses, mechanism of action analysis, and signature-driven drug repositioning. Only a few systems exist that combine several omics data types, bioinformatics tools,…
Read More iLINCS: An Integrative Web-based Platform for Analysis of OMICS Data and Signatures of Cellular Perturbations
AI | Bioinformatics | Cancer Research | Deep Learning | Health | News | Paper Summary | Trending
Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
ByTanveen Kaur August 14, 2022December 28, 2022
Scientists present an interpretable, loosely guided, multimodal deep learning strategy for cancer prognosis, which also investigates the use of multimodal interpretability to describe how WSI and molecular characteristics affect risk. The objective prognostic models that can be created from histology pictures have shown promise in the quickly evolving field of computational pathology. Most prognostic models,…
Read More Scientists use Multimodal Deep Learning for Pan-Cancer Integrative Histology-Genomic Analysis
AI | Bioinformatics | Deep Learning | Featured | News | Paper Summary | Structural Biology | Tools | Trending
Meta’s AI Protein Structure Prediction Model ‘ESMFold’ Predicts as Accurately and 6x Faster than AlphaFold2
BySrishti Sharma August 13, 2022October 6, 2022
Researchers at Meta AI developed an artificial intelligence (AI) model that can precisely predict entire atomic protein structures from a single sequence of a protein. The use of language model representations to replace the requirement for explicit homologous sequences distinguishes ESMFold from AlphaFold2. As a result of this simplification, ESMFold is significantly faster than the…
Read More Meta’s AI Protein Structure Prediction Model ‘ESMFold’ Predicts as Accurately and 6x Faster than AlphaFold2
Bioinformatics | Deep Learning | Machine Learning | News
Modeling New Mutational Spaces with Machine Learning
BySrishti Sharma August 12, 2022August 12, 2022
From cancer and autoimmune diseases to allergies and neurodegenerative diseases, antibody therapeutics are being used to treat human conditions. Molecular properties of antibodies, such as their high affinities, long half-lives, potent effector functions, and excellent biophysical properties (i.e., high stability and solubility), contribute significantly to the success of antibody therapeutics. Antigen-specific monoclonal antibodies (mAbs) may…
Read More Modeling New Mutational Spaces with Machine Learning
Bioinformatics | Data Science | News | Paper Summary | Trending
A Dual-plasmid System Based on Gene Editing Tools Boosts DNA Digital Storage Potential
BySrishti Sharma August 11, 2022November 23, 2023
The Chinese Academy of Sciences researchers introduced a dual-plasmid editing system that enhances DNA digital storage. The study strongly encourages the use of DNA-based information technology by demonstrating a digital-to-biological information processing approach for highly effective data storage, amplification, and rewriting. In recent years, DNA has gained increasing attention as an information storage medium. A…
Read More A Dual-plasmid System Based on Gene Editing Tools Boosts DNA Digital Storage Potential
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
Antibiotic Resistance | Bioinformatics | Infectious Diseases | News | Paper Summary
Teixobactin Kills Bacteria by Attacking the Cell Envelope in Two Ways
BySrishti Sharma August 9, 2022August 9, 2022
The development of new mechanisms for antibiotics is essential to combating antimicrobial resistance. With its unique chemical scaffold, Teixobactin is a new class of antibiotics that lacks detectable resistance. A precursor of peptidoglycan, lipid II, is targeted by Teixobactin. Teixobactin binds specifically to the sugar moiety of lipid II at its C-terminal enduracididine headgroup, whereas…
Read More Teixobactin Kills Bacteria by Attacking the Cell Envelope in Two Ways
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
AI | Bioinformatics | Health | News | Virtual Reality
Decoding Scene Prediction by the Human Brain and its Confidence During Virtual Reality Maze Exploration
ByDr. Tamanna Anwar August 4, 2022August 4, 2022
Kyoto University scientists have discovered that they can decode from brain activity the subjects’ capacities to forecast their placements and scenes within the labyrinth, as well as the degree of confidence in their predictions, using partial-observation mazes in virtual reality (VR). Imagine a future in which a disaster completely destroys someone’s hometown. How quickly could…
Read More Decoding Scene Prediction by the Human Brain and its Confidence During Virtual Reality Maze Exploration
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
Bioinformatics | Cell | Covid-19 News | Education | News
“Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
ByDr. Tamanna Anwar July 28, 2022July 28, 2022
Scientists from the Weizmann Institute resolved the mystery of how RNA molecules get to their intended destinations. Each cell in our body receives instructions from its DNA, on how to function, in the form of RNA molecules. RNA has lately gained attention as the foundation for cutting-edge COVID-19 vaccines, but fundamental information about this important…
Read More “Zip Codes” Direct RNA Molecules to Reach their Intended Destinations
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
AI | Algorithm | Bioinformatics | Computational Models | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Tools
A Geometric Deep-Learning Model ‘EquiBind’ the Fastest Computational Molecular Docking Model
ByTanveen Kaur July 17, 2022October 22, 2026
MIT researchers have developed a geometric deep-learning model, EquiBind, which is 1,200 times faster than one of the fastest computational molecular docking models currently in use, QuickVina2-W, for effective binding of drug-like substances to proteins. One of the main challenges in drug discovery is to predict the binding properties of a drug-like chemical to a…
Read More A Geometric Deep-Learning Model ‘EquiBind’ the Fastest Computational Molecular Docking Model
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 | Cancer Research | Machine Learning | News | Systems Biology
‘HistoML’ – A Markup Language based on Semantic Web Technologies for Representation and Exchange of Histopathological Information in Pathology Images
ByTanveen Kaur July 10, 2022November 11, 2022
Scientists from Xi’an Jiaotong University propose the Histopathology Markup Language (HistoML), a representation language with a flexible syntax and extensible structure, along with a controlled vocabulary (Histopathology Ontology) to represent semantics in whole-slide images (WSI), to address this challenge using Semantic Web technologies (SW). For cancer research and therapy, the study of histopathological phenotypes is…
Read More ‘HistoML’ – A Markup Language based on Semantic Web Technologies for Representation and Exchange of Histopathological Information in Pathology Images
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
AI | Bioinformatics | Infectious Diseases | Machine Learning | News
Scientists Use AI to Identify Co-component Signal Transduction Systems in Gut Bacteria that Likely Regulates Virulence
ByDr. Tamanna Anwar July 4, 2022December 26, 2023
Novel discovery by scientists from UT Southwestern University identifies co-component signal transduction systems in gut bacteria that could help fight gastrointestinal infections. Scientists used artificial intelligence to identify a new family of enteric bacteria sensing genes that are related by structure and likely function but not genetic sequence. The research, which was published in PNAS,…
Read More Scientists Use AI to Identify Co-component Signal Transduction Systems in Gut Bacteria that Likely Regulates Virulence
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

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Scientists Use AI to Identify Co-component Signal Transduction Systems in Gut Bacteria that Likely Regulates Virulence

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