Machine Learning

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Revolutionizing Antibody Structure-based Design with AntiFold: A Breakthrough in Inverse Folding Technology
ByAnshika Gupta May 18, 2024October 22, 2026

Scientists from the University of Oxford along with the Technical University of Denmark have introduced AntiFold: a specialized model for antibody design that will help in improving sequence recovery in the most important regions and, at the same time, will aid in the zero-shot affinity prediction. It is the antibody structure that is the input,…

Read More Revolutionizing Antibody Structure-based Design with AntiFold: A Breakthrough in Inverse Folding Technology
AI | Bioinformatics | Gene Expression | Machine Learning | News | OMICS | Paper Summary | Tools | Trending

Faster, More Accurate Spatial Omics: How BANKSY Streamlines Data Analysis
ByAnchal Negi May 14, 2024October 22, 2026

Spatial omics involve scientists generating maps of gene expression within tissues as they continue to evolve. This is an extremely important development with significant implications for understanding complex biological processes like disease, development, or response to treatment. However, unlocking these secrets depends on our ability to effectively analyze this data. This is what brings BANKSY…

Read More Faster, More Accurate Spatial Omics: How BANKSY Streamlines Data Analysis
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

Designing Multi-Tasking Drugs: How POLYGON Makes Polypharmacology Easier with Deep Generative Chemistry
ByDeotima Chakraborty May 9, 2024October 22, 2026

Drugs with polypharmacology, or substances that block several proteins, offer a wide range of uses but are challenging to create. To overcome this difficulty, researchers from the University of California San Diego created POLYGON, a generative reinforcement learning-based method for polypharmacology. In order to develop novel molecular structures, POLYGON embeds chemical space and repeatedly samples…

Read More Designing Multi-Tasking Drugs: How POLYGON Makes Polypharmacology Easier with Deep Generative Chemistry
Bioinformatics | Machine Learning | News | Paper Summary | RNA-Seq | Sequencing | Tools | Trending

Deciphering the Future with Decipher: A Computational Pipeline for Single-cell Profile-based Context-specific Mechanistic Insights
ByDeotima Chakraborty May 8, 2024October 22, 2026

The development of single-cell profiling methods has transformed our understanding of the cellular and molecular processes underlying disease states and how they respond to therapy. However, existing computer methods cannot objectively recover known and new mechanistic insights at different levels of biological regulation. Here, researchers from the University of Western Australia and The University of…

Read More Deciphering the Future with Decipher: A Computational Pipeline for Single-cell Profile-based Context-specific Mechanistic Insights
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

ETH Zurich Chemists Unveil DRAGONFLY: New AI Approach for Rapid Drug Design from Protein Structures
ByAnchal Negi April 30, 2024October 22, 2026

Centuries of scientific invention have been driven by the search for new drugs to fight against diseases. Since medicinal plants became valuable sources of medicine from synthetic chemistry, we have consistently improved our capacity to design molecules with therapeutic potential. However, the traditional drug discovery process is time-consuming, costly, and fraught with challenges. It is…

Read More ETH Zurich Chemists Unveil DRAGONFLY: New AI Approach for Rapid Drug Design from Protein Structures
AI | Bioinformatics | Machine Learning | News | Paper Summary | RNA-Seq | Structural Biology | Tools | Trending

Cracking the RNA Inverse Folding Puzzle with RiboDiffusion’s Generative Diffusion Approach
ByAnshika Gupta April 28, 2024October 22, 2026

Molecular biology scientists have been captivated by the complex way RNA folds. A recent study by Beihang and Nanjing University researchers in China introduces the RiboDiffusion model. This new method looks at predicting protein structure at the atomic level and is more advanced than existing methods like StructGNN and GVP-GNN. RiboDiffusion: A Game Changer Designing…

Read More Cracking the RNA Inverse Folding Puzzle with RiboDiffusion’s Generative Diffusion Approach
AI | Big Data | Bioinformatics | Computational Models | Gene Expression | Genomics | Machine Learning | News | OMICS | Paper Summary | RNA-Seq | Tools | Trending

Decoding the Regulatory Landscape with LINGER: A New Era in Gene Regulatory Networks Inference
ByDeotima Chakraborty April 27, 2024October 22, 2026

Despite the difficulties presented by the current methods depending solely on gene expression data, RNA sequencing data has been incorporated into Gene regulatory networks (GRN) inference methods, improving the capacity to learn complicated pathways from a few independent data points. Here, scientists offer LINGER (Lifelong neural network for gene regulation), a machine-learning technique that uses…

Read More Decoding the Regulatory Landscape with LINGER: A New Era in Gene Regulatory Networks Inference
AI | Bioinformatics | Machine Learning | Molecular Dynamics | News | Paper Summary | Tools | Trending

GEMS: DeepMind’s Novel Approach to Accurate Biomolecular Dynamics through Machine-Learned Quantum-Mechanical Force Fields
ByAnchal Negi April 24, 2024October 22, 2026

Think about peering into the intricate world of biomolecules, those complex assemblies that direct the symphony of life. Scientists have long relied on molecular dynamics (MD) simulations to watch them dance, but these often require costly quantum-mechanical calculations to get accurate results. However, a groundbreaking new technique called GEMS (general approach for constructing accurate machine-learned…

Read More GEMS: DeepMind’s Novel Approach to Accurate Biomolecular Dynamics through Machine-Learned Quantum-Mechanical Force Fields
AI | Bioinformatics | Database | Machine Learning | News | Paper Summary | PPI | Structural Biology | Trending

A New Era in Interactomics: Exploring Predictomes, the AlphaFold-Modeled Protein Interaction Database
ByAnchal Negi April 20, 2024October 22, 2026

Imagine a teeming city where proteins are the movers and shakers. Each protein intertwines with others in partnerships that are vital to every cellular process. Nevertheless, unraveling these interactions, which are called protein-protein interactions (PPIs), forms the basis for both biology and drug development. Detecting PPIs has been akin to overhearing hushed conversations in a…

Read More A New Era in Interactomics: Exploring Predictomes, the AlphaFold-Modeled Protein Interaction Database
AI | Bioinformatics | Drug Discovery | Machine Learning | Neural Network | News | Paper Summary | Structural Biology | Trending

Smart Sampling for Smarter Drugs: How Active Learning Boosts Drug Discovery
ByDeotima Chakraborty April 16, 2024October 22, 2026

In computational drug discovery, active learning (AL) is a potent approach that makes it possible to identify the best binders from large chemical libraries. To get the best results, designing a strong AL methodology necessitates an understanding of AL parameters and data set properties. In order to systematically assess the efficacy of machine learning models…

Read More Smart Sampling for Smarter Drugs: How Active Learning Boosts Drug Discovery
AI | Bioinformatics | Covid-19 News | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI
ByDeotima Chakraborty March 21, 2024October 22, 2026

The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in contemporary medicine. Instead, time-consuming animal immunization procedures or library screening techniques are currently used in antibody development. Here, scientists from the University of Washington show that user-specified epitopes can be bound…

Read More Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI
AI | Algorithm | Bioinformatics | Drug Discovery | News | Tools | Trending

Eurofins Discovery Launches DiscoveryAI SAFIRE: A New AI Platform for Drug Discovery
ByDr. Tamanna Anwar March 3, 2024October 22, 2026

The drug discovery process is unduly time-consuming and expensive. Extensive laboratory testing is required to evaluate potential drug candidates for absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties. Compounds that fail to meet acceptable thresholds for these properties may be unsafe or ineffective in humans, leading to high failure rates in clinical trials. But what if…

Read More Eurofins Discovery Launches DiscoveryAI SAFIRE: A New AI Platform for Drug Discovery
AI | Bioinformatics | LLM | Machine Learning | News | Paper Summary | Proteomics | Trending

Unveiling DeepGO-SE: Advancing Protein Function Prediction Leveraging Language Models and GO Knowledge
ByDeotima Chakraborty February 19, 2024October 22, 2026

Gene Ontology is an axiomatic theory that describes the molecular roles, biological processes, and cellular placements of proteins using more than 100,000 axioms. Learning and reasoning skills are necessary for predicting the actions of proteins in order to preserve consistency and take advantage of prior knowledge. It is still difficult to apply all of the…

Read More Unveiling DeepGO-SE: Advancing Protein Function Prediction Leveraging Language Models and GO Knowledge
AI | Bioinformatics | Cancer Research | Genomics | Neural Network | News | Paper Summary | Precision Medicine | Trending

Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma
ByDeotima Chakraborty February 15, 2024October 22, 2026

Patients with recently diagnosed non-differentiated multiple myeloma (NDMM) have a wide range of outcomes, with overall survival (OS) spanning from several months to more than ten years. In this work, the researchers gathered a significant training set and a validation set of NDMM patients with clinical, demographic, genomic, and treatment data for the construction of…

Read More Beyond One-Size-Fits-All: Moffitt Unveils First Individualized Predictive Model for the Treatment of Multiple Myeloma
AI | Bioinformatics | Deep Learning | Gene Expression | Genomics | News | Paper Summary | Trending

Unlocking the Enhancer Code: Deep Learning’s Role in Designing Cell-specific Genetic Switches
ByAnchal Negi February 4, 2024October 22, 2026

Transcriptional enhancers control the spatiotemporal activation of the target genes they regulate by serving as docking stations for various transcription factor combinations. It has been a long goal to Decipher the regulatory logic of an enhancer and comprehend the specifics of how spatiotemporal gene expression is encoded in an enhancer sequence. Researchers from VIB Center…

Read More Unlocking the Enhancer Code: Deep Learning’s Role in Designing Cell-specific Genetic Switches
AI | Bioinformatics | Education | Machine Learning | News | Paper Summary | Proteomics | Trending

Empowering Researchers with ProteomicsML: An Online Oasis of Data Sets and Tutorials for Machine Learning in Proteomics
ByDeotima Chakraborty January 30, 2024October 22, 2026

The laborious aspects of acquiring and curating data sets for machine learning, especially in proteomics-based systems, present unique difficulties because there is a significant amount of data reduction from raw data to machine learning-ready data. In spite of the difficulties with accessibility and repeatability, laboratories frequently employ distinctive and intricate data processing pipelines to maximize…

Read More Empowering Researchers with ProteomicsML: An Online Oasis of Data Sets and Tutorials for Machine Learning in Proteomics
AI | Bioinformatics | Biomarker Discovery | Disease Diagnosis | Genomics | Machine Learning | News | OMICS | Tools | Trending

IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
ByDr. Tamanna Anwar January 27, 2024October 22, 2026

IntelliGenes is a new machine learning pipeline developed by researchers at The State University of New Jersey that integrates multi-genomics, clinical, and demographic data to discover biomarkers for disease prediction with high accuracy. It implements Intelligent Gene (I-Gene) scoring to assess the significance of biomarkers and create individual profiles to understand disease prognosis. IntelliGenes is…

Read More IntelliGenes Unveiled: A New Paradigm for AI-Driven Biomarker Discovery from Multi-genomic Data
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Structural Biology | Tools | Trending

Unveiling the Future of Protein Design: RFdiffusion’s De Novo Revolution
ByDeotima Chakraborty January 26, 2024October 22, 2026

Protein design has seen significant progress, but a comprehensive deep-learning framework for protein design, including de novo binder design and higher-order symmetric architectures, remains unexplored. Diffusion models have shown success in image and language generative modeling but have limited success in protein modeling due to the complexity of protein backbone geometry and sequence-structure relationships. The…

Read More Unveiling the Future of Protein Design: RFdiffusion’s De Novo Revolution
AI | Bioinformatics | Computational Models | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending

Meet ChatDrug: A New ChatGPT-powered Conversational Drug Editing Framework
ByDeotima Chakraborty January 23, 2024October 22, 2026

Drug discovery is one of the many fields where recent developments in conversational large language models (LLMs), like ChatGPT, have shown incredible promise. However, the majority of the work that has already been done is on examining conversational LLMs’ skills with regard to chemical reactions and retrosynthesis. However, there is still much to learn about…

Read More Meet ChatDrug: A New ChatGPT-powered Conversational Drug Editing Framework
AI | Bioinformatics | CRISPR | Machine Learning | News | Paper Summary | Trending

Fighting Pathogens Smarter: How Machine Learning and Data Integration Improves Bacterial CRISPRi Guide Efficiency Prediction
ByAnchal Negi January 19, 2024January 19, 2024

CRISPR interference (CRISPRi) is one of the most widely used CRISPR technologies in bacteria. In this, a catalytically dead Cas protein incapable of DNA cleavage (dCas) is targeted to interfere with the transcription of a gene of choice. Due to complex interactions between guide sequences predicting it accurately remains a challenge. To tackle this problem,…

Read More Fighting Pathogens Smarter: How Machine Learning and Data Integration Improves Bacterial CRISPRi Guide Efficiency Prediction
AI | Bioinformatics | Machine Learning | Neural Network | Neuroscience | News | Paper Summary | Trending

New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning
BySonal Keni January 12, 2024January 11, 2024

One of the biggest challenges in the machine learning space today is the problem of credit assignment: the identification of the components within the information processing pipeline and pinpointing which are responsible for any errors that crop up in the output generated by the algorithm. The common assumption is that the problem is best resolved…

Read More New Principles Underlying Neural Activity Discovered With Startling Implications For Machine Learning
AI | Big Data | Bioinformatics | Genomics | News | Paper Summary | Tools | Trending

Breaking Barriers in Genomic Research: DRAGEN Delivers Accurate Variant Detection in 30 Minutes
ByAnchal Negi January 7, 2024January 7, 2024

Scientists took decades to decode the complex code of DNA, and though we have come a long way, the journey is far from over. The development of DRAGEN sheds light on new unknown secrets, unlocking a deeper understanding of our bodies and nature around us. Illumina has always provided us with the best tools and resources, acting…

Read More Breaking Barriers in Genomic Research: DRAGEN Delivers Accurate Variant Detection in 30 Minutes
Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Unleashing MACE-OFF23: Machine Learning Empowers Transferable Force Field for Organic Molecules
ByDeotima Chakraborty January 4, 2024October 22, 2026

For more than fifty years, biomolecular simulation has been dominated by classical empirical force fields. Despite being extensively employed in biomolecular dynamics, crystal structure prediction, and drug discovery, they typically lack the precision and transferability necessary for predictive modeling. In this paper, researchers from the University of Cambridge introduced MACE-OFF23. A high degree of quantum…

Read More Unleashing MACE-OFF23: Machine Learning Empowers Transferable Force Field for Organic Molecules
Bioinformatics | Disease Diagnosis | Health | Machine Learning | Medical Informatics | News | Paper Summary | Precision Medicine | Proteomics | Trending

Stanford Medicine Scientists Inch Closer to Predicting Which of Our Organs Will Fail First
ByDeotima Chakraborty December 14, 2023December 14, 2023

In a recently published study, Stanford Medicine researchers highlighted age-related problems in humans and showed how aging varies from person to person and between organs within an individual. Researchers used human blood plasma protein levels from particular organs to examine aging in 11 key organs in real people. The approach suggested by the authors offers…

Read More Stanford Medicine Scientists Inch Closer to Predicting Which of Our Organs Will Fail First
AI | Bioinformatics | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

Decoding the Dance of Proteins and Nucleic Acids: Machine Learning Empowers Protein-Nucleic Acid Complexes Prediction with RoseTTAFoldNA
ByDeotima Chakraborty December 3, 2023January 26, 2024

Researchers at the University of Washington, USA, have developed a new AI system called RoseTTAFoldNA that can rapidly and accurately predict the 3D structures of proteins bound to DNA and RNA. The ability to model these protein-nucleic acid complexes has important implications across fields from biomedicine to biotechnology. RoseTTAFoldNA expands on the award-winning protein structure…

Read More Decoding the Dance of Proteins and Nucleic Acids: Machine Learning Empowers Protein-Nucleic Acid Complexes Prediction with RoseTTAFoldNA
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Transforming Fragment-based Drug Design: Stanford’s FRAME Employs Machine Learning to Expand Fragments into Ideal Ligands
BySwasti Tyagi December 1, 2023October 22, 2026

Stanford University researchers developed FRAME (Fragment-Based Molecular Expansion), a machine learning framework that uses three-dimensional structures of interactions between proteins and ligands to facilitate drug design based on ‘fragments.’ Fragments are singular chemical groups that are added to ligands for the purpose of performing lead optimization tasks and improving their properties. Ligands are small molecules…

Read More Transforming Fragment-based Drug Design: Stanford’s FRAME Employs Machine Learning to Expand Fragments into Ideal Ligands
AI | Big Data | Bioinformatics | Genomics | LLM | News | OMICS | Paper Summary | Trending

Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
BySwasti Tyagi November 29, 2023November 29, 2023

Deep learning techniques have had a significant influence on genomics and the sequencing techniques employed in the field due to the exponential advancements in artificial intelligence (AI) and machine learning (ML) during the past ten years. The review article by a team led by researchers from the University of Toronto elucidates the advantages and drawbacks…

Read More Genome LLMs: Revolutionizing Genomics with Transformer-based Large Language Models
AI | Bioinformatics | Health | Machine Learning | Medical Informatics | News | Trending

New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
ByDr. Tamanna Anwar November 24, 2023October 22, 2026

As computing power has exponentially grown, machine learning (ML) techniques have gained immense popularity in healthcare – including predicting outcomes for patients with devastating illnesses like cancer. By estimating survival rates and life expectancy, statistical models help patients and doctors make difficult treatment decisions, weighing benefits against risks. Now, researchers at The University of Texas…

Read More New Machine Learning Technique Predicts Cancer Patient Cure Rates More Accurately
AI | Bioinformatics | Deep Learning | Genomics | News | OMICS | RNA-Seq | Sequencing | Tools | Trending

UCSD’s EUGENe: A New Deep Learning Toolkit to Decode the Regulatory Genome
ByDr. Tamanna Anwar November 22, 2023November 30, 2023

Researchers at the University of California, San Diego, built EUGENe (elucidating the utility of genomic elements with neural nets) – an end-to-end Python toolkit for analyzing genomic sequences using deep learning. EUGENe comprises a collection of modules and sub-packages designed to carry out the essential functions of genomics deep learning. EUGENe aims to enable computational…

Read More UCSD’s EUGENe: A New Deep Learning Toolkit to Decode the Regulatory Genome
Bioinformatics | Genomics | Machine Learning | News | Paper Summary | Sequencing | Trending

Mosaic Variant Calling: Benchmarking Approaches and Unveiling Best Practices
BySwasti Tyagi October 23, 2023October 22, 2023

Scientists from Yonsei University College of Medicine, Republic of Korea, have developed a new benchmark for evaluating mosaic variant calling methods, which are used to detect genetic mutations in individuals. The benchmark will help researchers select the most suitable calling algorithms for their studies and guide developers in improving the accuracy of these methods. The…

Read More Mosaic Variant Calling: Benchmarking Approaches and Unveiling Best Practices
AI | Bioinformatics | Machine Learning | News | Paper Summary | Trending

Machine Learning Modeling Helps Uncover Links Between Gut Microbiome and Heart Failure
BySonal Keni October 22, 2023October 21, 2023

Heart failure is widely recognized as a leading cause of mortality worldwide. Though there have been great strides made in medical technology over the past few decades, heart failure remains widespread, with 64 million people globally suffering from it. Though early symptoms do show up, heart failure is often undetected until it reaches an acute…

Read More Machine Learning Modeling Helps Uncover Links Between Gut Microbiome and Heart Failure
AI | Bioinformatics | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Trending

The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
BySwasti Tyagi October 6, 2023October 22, 2026

In a groundbreaking collaboration spanning IBM Research in Switzerland and the USA, scientists have illuminated the pivotal role of language models (LMs) in molecular discovery. It has been determined that transformer-based architectures are the most popular forms of language models, enabling their widespread use in various domains of science. Due to this, the term ‘scientific…

Read More The Rise of Scientific Language Models: Revolutionizing Molecular Discovery
AI | Bioinformatics | Biomedical Engineering | Health | Machine Learning | News | Paper Summary | Trending

Advancing Continuous Blood Pressure Monitoring: Accurate Measurements with Multichannel Sensing Signals in Wearable Devices
BySonal Keni October 5, 2023October 5, 2023

Hypertension has long been known to be a causative factor for a multitude of medical ailments. Hypertension has further been noticed to have significantly increased in recent years, posing a public health concern. While medical costs and inconvenience may deter potential patients from seeking frequent blood pressure monitoring, new advances in wearable medical devices have…

Read More Advancing Continuous Blood Pressure Monitoring: Accurate Measurements with Multichannel Sensing Signals in Wearable Devices
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | RNA-Seq | Tools | Trending

BigRNA: A Foundation Model for RNA Biology that Revolutionizes Personalized RNA Therapeutics
BySwasti Tyagi October 2, 2023October 2, 2023

A team of researchers at Deep Genomics Inc. developed BigRNA, a foundation model for understanding the biological functions and mechanisms of RNA molecules. Two challenges faced by researchers over the years have been modeling RNA correctly and predicting its features, especially when considering interpreting genetic variations and attempting to formulate personalized therapeutics. By feeding information…

Read More BigRNA: A Foundation Model for RNA Biology that Revolutionizes Personalized RNA Therapeutics
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

Machine Learning Model ‘HASTEN’ Enables Giga-Scale Virtual Screening of Enumerated Chemical Libraries
BySwasti Tyagi September 30, 2023October 22, 2026

A team of researchers utilized HASTEN, a machine-learning (ML) model, to perform virtual screening on ultra-large chemical compound libraries. Several challenges are faced when screening libraries of such large scale, and conventional brute-force docking methods that are usually used have drawbacks, especially for libraries that span nearly a billion compounds. HASTEN is a quick and…

Read More Machine Learning Model ‘HASTEN’ Enables Giga-Scale Virtual Screening of Enumerated Chemical Libraries
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Structural Biology | Trending

Protein Engineering Tournament: A Competition Aiming to Revolutionize Computational Protein Design
BySonal Keni September 29, 2023October 22, 2026

Protein engineering is an emerging field in biological research – the improvement of existing proteins or the creation of new ones in order to improve efficiency or perform new functions has proved to be a field with much potential. Despite advancements in the field making protein engineering a sought-after field for industrial applications, it is…

Read More Protein Engineering Tournament: A Competition Aiming to Revolutionize Computational Protein Design
AI | Antibiotic Resistance | Bioinformatics | Infectious Diseases | Machine Learning | News | Paper Summary | Phylogenetic Analysis | Trending

Machine Learning and Phylogenetic Analysis Join Forces to Predict Antibiotic Resistance in Pathogenic Bacteria
BySonal Keni September 22, 2023January 19, 2024

Tuberculosis has been known to be a significant threat for many years now. Despite the development of a number of preventative strategies and medications, it remains widespread, causing millions of deaths globally every year. Part of the difficulty of adequately responding to and treating tuberculosis is due to the emergence of strains that are resistant…

Read More Machine Learning and Phylogenetic Analysis Join Forces to Predict Antibiotic Resistance in Pathogenic Bacteria
AI | Bioinformatics | Computational Models | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Trending

Meet DRfold: A Novel Method to Predict RNA Tertiary Structures with Unprecedented Accuracy
ByPrachi Khare September 21, 2023October 22, 2026

RNAs are essential components of physiological activities, however, accurately modeling their structures has long posed a challenge due to their complex structures. The National University of Singapore researchers introduced DRfold, an innovative technique to predict RNA complex 3D structures. By simultaneously learning local frame rotations and geometric constraints from experimentally solved RNA structures, DRfold addresses…

Read More Meet DRfold: A Novel Method to Predict RNA Tertiary Structures with Unprecedented Accuracy
AI | Bioinformatics | Deep Learning | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation
ByNeegar Naushaba Iqbal August 23, 2023August 23, 2023

Understanding cellular responses to genetic changes holds vital importance in various biomedical contexts, such as uncovering cancer-related genetic interactions and advancing regenerative medicine. However, the vast number of potential multigene alterations poses a challenge for practical experimentation. In this regard, a novel method called the graph-enhanced gene activation and repression simulator (GEARS) has been introduced…

Read More Stanford’s GEARS: An Innovative Approach to Predicting Transcriptional Outcomes of Multigene Perturbation
AI | Bioinformatics | Machine Learning | News | Paper Summary | Proteomics | Tools | Trending

Tuft’s Researchers Unveil MELISSA: Revolutionizing Protein Function Prediction Through Semi-Supervised Embedding
ByNeegar Naushaba Iqbal August 20, 2023August 29, 2023

Tufts University researchers have developed MELISSA, a groundbreaking approach for predicting protein functions through protein-protein association networks. Existing methods such as Mashup and deepNF employ network diffusion analysis and structure embedding of proteins, respectively, but they neglect to utilize known protein functions directly. Contrarily, MELISSA, a novel approach, incorporates functional labels during the embedding stage….

Read More Tuft’s Researchers Unveil MELISSA: Revolutionizing Protein Function Prediction Through Semi-Supervised Embedding
AI | Bioinformatics | COVID-19 | Covid-19 News | Drug Discovery | News | Paper Summary | SARS-CoV-2 | Structural Biology | Tools | Trending

Brock Researchers Develop AI-Powered Tool ‘DAPTEV’ to Design New Aptamer Drugs for COVID-19
ByNeegar Naushaba Iqbal August 5, 2023October 22, 2026

Traditional drug discovery and development methods are quite expensive, cumbersome, and prone to the biases of experts. A revolution in the field of drug development has emerged in the form of aptamers. Aptamers are single-stranded oligonucleotides (DNA/RNA) capable of binding to biomolecules with high affinity as well as specificity. However, the conventional process of aptamer…

Read More Brock Researchers Develop AI-Powered Tool ‘DAPTEV’ to Design New Aptamer Drugs for COVID-19
AI | Bioinformatics | Cancer | GWAS | Machine Learning | News | Paper Summary | Sequencing | Trending

Beyond Biopsies: Single-Molecule Cell-Free DNA Profiling Fuels Non-Invasive Cancer Screening and Detection
ByNeegar Naushaba Iqbal July 30, 2023July 30, 2023

A new ray of hope for non-invasive cancer detection has emerged. A machine learning algorithm called GEMINI, created by John Hopkins University and Boston University researchers, can effectively diagnose cancer patients using CT scans, even in the early stages (stages I and II), without intrusive treatments like biopsies. This model focuses on the DNA changes…

Read More Beyond Biopsies: Single-Molecule Cell-Free DNA Profiling Fuels Non-Invasive Cancer Screening and Detection
AI | Bioinformatics | COVID-19 | Covid-19 News | Drug Discovery | Machine Learning | News | Proteomics | SARS-CoV-2 | Structural Biology | Trending

AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
ByAditi Sarkar June 24, 2023June 24, 2023

The multi-adaptive Support Vector Machine Learning Algorithm (maSVM) can improve comparisons between binary Protein-Protein interaction datasets gathered in different laboratories and can be utilized to confidently prioritize potential targets for Protein-Protein Interaction (PPI) based drug discovery. The researchers first showed that the automatic classification of large quantitative interaction datasets could be performed with high confidence….

Read More AI-Powered Protein-Protein Interaction Drug Discovery Pipeline Yields a Promising SARS-CoV-2 Inhibitor
AI | Bioinformatics | Cancer Research | Cloud Computing | Data Science | Facts | Featured | Health | Machine Learning | News | Trending

Top Five Data Science Technologies Transforming Cancer Research
ByDr. Tamanna Anwar September 2, 2022October 22, 2026

Cancer is a disease that affects millions of people worldwide. According to the World Health Organization (WHO), cancer is the second leading cause of death globally, after cardiovascular diseases. In 2018, about 9.6 million deaths were reported due to cancer. The WHO estimates that over 1.8 million people died from cancer in 2017. The number…

Read More Top Five Data Science Technologies Transforming Cancer Research
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
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 | 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
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
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
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

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