Bioinformatics

AI | Antibiotic Resistance | Bioinformatics | Drug Discovery | Infectious Diseases | News | Paper Summary | Trending

Fighting Superbugs with Smart Design: AI-Generated Antimicrobial Peptides Show Promise
ByAnchal Negi February 21, 2025October 22, 2026

Imagine a future where deadly bacterial infections can be easily defeated with custom-designed antimicrobial peptides (AMPs). Thanks to artificial intelligence (AI), that future might not be so far away! A team of researchers from Shandong University has made a groundbreaking discovery using AI to generate powerful new AMPs. Their work, published in Science Advances, showcases…

Read More Fighting Superbugs with Smart Design: AI-Generated Antimicrobial Peptides Show Promise
AI | Bioinformatics | News | Paper Summary | Tools | Trending

Google Launches AI Co-Scientist: A Virtual Partner for Smarter and Faster Research Powered by Gemini 2.0
ByDeotima Chakraborty February 21, 2025October 22, 2026

Researchers from Google present AI Co-scientist, a multi-agent AI system developed with Gemini 2.0 as a virtual scientific collaborator to speed up scientific and biomedical discoveries and assist scientists in coming up with new ideas and research plans. A multi-agent artificial intelligence system designed to serve as a collaboration tool for scientists is known as…

Read More Google Launches AI Co-Scientist: A Virtual Partner for Smarter and Faster Research Powered by Gemini 2.0
AI | Bioinformatics | Genomics | LLM | Paper Summary | Trending

How Directed Evolution and Machine Learning Enhance Genotype to Phenotype Mapping
ByDeotima Chakraborty February 17, 2025October 22, 2026

It is essential to connect sequence variation to phenotypic effects to effectively utilize huge genomic datasets. Here, researchers describe a unique method for characterizing spontaneously evolved variations of a rice immune receptor by integrating protein language modeling with directed evolution. The rice immunological receptor Pik-1 was designed to avoid detection by existing Pik-1 alleles by…

Read More How Directed Evolution and Machine Learning Enhance Genotype to Phenotype Mapping
AI | Bioinformatics | News | Paper Summary | Proteomics | Trending

How Proteins Know Where to Go: MIT’s ProtGPS Predicts Protein Localization with High Accuracy
ByAnchal Negi February 13, 2025October 22, 2026

In a groundbreaking study from the Whitehead Institute for Biomedical Research and MIT’s Computer Science and Artificial Intelligence Laboratory, researchers have uncovered a hidden layer of biological organization—protein sequences contain codes that determine their precise location within a cell. This study introduces ProtGPS, an AI-driven model that predicts and manipulates protein localization with unprecedented accuracy….

Read More How Proteins Know Where to Go: MIT’s ProtGPS Predicts Protein Localization with High Accuracy
Big Data | Bioinformatics | Genomics | News | Paper Summary | Tools | Trending

doubletrouble: A Comprehensive R Package for Gene Duplication Detection and Classification
ByDeotima Chakraborty February 9, 2025October 22, 2026

A major factor in evolution, genome duplications have different effects on the expression, function, and regulation of genes. However, multiple duplication modes make it difficult to detect and categorize duplicated genes because of antiquated or useless instruments. Here, scientists from Ghent University, University of Pretoria, and Nanjing Agricultural University introduce doubletrouble, an R/Bioconductor program that…

Read More doubletrouble: A Comprehensive R Package for Gene Duplication Detection and Classification
AI | Bioinformatics | Genomics | LLM | News | Paper Summary | Tools | Trending

Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework
ByAnchal Negi February 5, 2025October 22, 2026

In the ever-evolving field of bioinformatics, automation has become a necessity for handling complex genomic data efficiently. A recent study by researchers at Hong Kong University of Science and Technology, China, presents BioMaster, a multi-agent system designed to streamline bioinformatics workflows. Integrating specialized AI agents, BioMaster enhances automation, error handling, and data validation, making it…

Read More Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework
AI | Bioinformatics | Molecular Dynamics | News | Paper Summary | Structural Biology | Tools | Trending

MDGEN: Unlocking New Frontiers in Molecular Dynamics with Generative AI
ByDeotima Chakraborty January 29, 2025October 22, 2026

As a paradigm for developing adaptable multi-task surrogate models of MD from data, researchers from the Massachusetts Institute of Technology present generative modeling of molecular trajectories. Researchers demonstrate how such generative models can be tailored to a variety of tasks, including forward simulation, transition path sampling, and trajectory upsampling, by conditioning on carefully selected frames…

Read More MDGEN: Unlocking New Frontiers in Molecular Dynamics with Generative AI
Bioinformatics | Genomics | News | NGS | OMICS | Paper Summary | Tools | Trending

Visualizing Omics Data Made Easy with DataColor’s 600+ Parameters
ByDeotima Chakraborty January 27, 2025October 22, 2026

The display of many types of data with different orders of magnitude is a critical challenge in the rapid development of high-throughput omics technologies. Researchers from Hainan University and Sun Yat-Sen University present DataColor, a comprehensive software solution that has been painstakingly developed to address this issue and to close this gap. DataColor is an…

Read More Visualizing Omics Data Made Easy with DataColor’s 600+ Parameters
Bioinformatics | Data Science | Genomics

Top 30 Python Libraries Used in Bioinformatics
ByNeermita Bhattacharya January 24, 2025October 22, 2026

Bioinformatics sits at the fascinating intersection of biology, computer science, and data analysis, with Python as a powerful language that drives groundbreaking research and computational discoveries. As biological datasets continue to grow exponentially in complexity and size, researchers and computational biologists increasingly rely on Python’s robust ecosystem of specialized libraries to process genomic data, analyze…

Read More Top 30 Python Libraries Used in Bioinformatics
AI | Bioinformatics | News | Paper Summary | PLM | Proteomics | Structural Biology | Trending

Exploring the Uncharted: How FoldTuned Language Models Reveal Hidden Sequence-Structure Insights
ByDeotima Chakraborty January 22, 2025October 22, 2026

The study of the entire protein sequence-structure map has historically been hampered by the combinatorial scale of amino acid sequence space. The wide unexplored landscape of far-from natural sequences that appear to have escaped evolution but are consistent with the principles of biophysics is not yet known. Experimental methods such as directed evolution are not…

Read More Exploring the Uncharted: How FoldTuned Language Models Reveal Hidden Sequence-Structure Insights
AI | Bioinformatics | Neural Network | News | Paper Summary | Proteomics | Tools | Trending

Quantum-Si Unveils ProteoVue™ to Unlock New Frontiers in Protein Variant Detection with Next-Generation Protein Sequencing
ByDeotima Chakraborty January 16, 2025October 22, 2026

Single-molecule Next-Generation Protein Sequencing (NGPS) provides a powerful alternative to mass spectrometry for analyzing protein variants, allowing detailed identification of proteoforms and amino acid changes at the individual molecule level. New data analysis techniques and bioinformatic tools must be developed to handle the unusual data type produced by NGPS. Here, scientists from Quantum-Si introduce ProteoVue™,…

Read More Quantum-Si Unveils ProteoVue™ to Unlock New Frontiers in Protein Variant Detection with Next-Generation Protein Sequencing
AI | Bioinformatics | Chemoinformatics | Drug Discovery | News | Paper Summary | Tools

25 New Compounds: How Scripps Research Uses Computer Modeling to Transform Drug Discovery
ByAnchal Negi January 15, 2025October 22, 2026

In an extraordinary feat of chemical synthesis, chemists from Scripps Research have produced 25 picrotoxane molecules. This groundbreaking work combines cutting-edge computational modeling and innovative laboratory techniques to navigate the complex pathways of these functionally dense molecules. Their findings, published in Nature, not only shed light on picrotoxane chemistry but also push the boundaries of…

Read More 25 New Compounds: How Scripps Research Uses Computer Modeling to Transform Drug Discovery
AI | Bioinformatics | Deep Learning | News | Paper Summary | Protein Design | Structural Biology | Trending

University of Washington Researchers Revolutionize Beta-Barrel and Transmembrane Nanopore Design Using Deep Learning Tools
ByDeotima Chakraborty January 11, 2025October 22, 2026

A team of researchers from the University of Washington has made significant strides in protein design by addressing long-standing challenges in creating beta-barrel structures. Using advanced deep learning tools, including RoseTTAFold-based design techniques, the team successfully developed transmembrane nanopores with conductances ranging from 200 to 500 pS. This innovative approach combines the precision of parametric…

Read More University of Washington Researchers Revolutionize Beta-Barrel and Transmembrane Nanopore Design Using Deep Learning Tools
Bioinformatics | Biotech | Data Science | Statistics | Trending

10 Days Hands-on Skill Development Training Program on R for Bioinformatics – 16 Jan to 29 Jan 2025
ByCBIRT January 10, 2025October 22, 2026

R is a powerful and versatile programming language widely used in biological data analysis for its robust statistical capabilities and extensive library of tools tailored for data visualization, manipulation, and modeling. In the realm of biology, where datasets are often complex and multidimensional, R provides an efficient platform for analyzing genomic sequences, protein structures, ecological…

Read More 10 Days Hands-on Skill Development Training Program on R for Bioinformatics – 16 Jan to 29 Jan 2025
AI | Bioinformatics | Deep Learning | Drug Discovery | Gene Expression | News | Paper Summary | Tools | Trending

Generating Hit-Like Molecules with Gx2Mol: A Deep Dive into Gene Expression and Drug Discovery
ByDeotima Chakraborty January 10, 2025October 22, 2026

Even though SMILES and molecular graphs have been used in earlier research, drug reactions in biological systems, such as genes and proteins, are frequently disregarded in the de novo production of hit-like compounds. In this study, scientists from Nagoya University and Kyushu Institute of Technology, Japan, provide Gx2Mol, a deep generative model that creates molecular…

Read More Generating Hit-Like Molecules with Gx2Mol: A Deep Dive into Gene Expression and Drug Discovery
AI | Antibiotic Resistance | Big Data | Bioinformatics | Drug Discovery | Genomics | LLM | News | Protein Design | Structural Biology | Trending

Top 10 Bioinformatics Breakthroughs of 2024!
ByDr. Tamanna Anwar January 1, 2025October 22, 2026

In 2024, bioinformatics has once again proven to be a cornerstone of innovation, driving discoveries that are reshaping our understanding of life at a molecular level. Did you know that the number of genetic variants uncovered this year alone surpassed expectations by millions? These breakthroughs are paving the way for revolutionary applications in healthcare, drug…

Read More Top 10 Bioinformatics Breakthroughs of 2024!
AI | Bioinformatics | Genomics | News | Trending

Top 5 AI Trends Bioinformaticians Need to Know in 2025
ByDr. Tamanna Anwar December 27, 2024October 22, 2026

As we approach 2025, the integration of artificial intelligence (AI) into bioinformatics is set to transform the field dramatically. Bioinformaticians must stay abreast of several key trends that will shape research methodologies, data analysis, drug discovery, and personalized medicine. Here are the top AI trends to watch that will significantly impact bioinformatics in the coming…

Read More Top 5 AI Trends Bioinformaticians Need to Know in 2025
AI | Bioinformatics | News | Paper Summary | Systems Biology | Trending

Building the Virtual Cell: AI’s Next Frontier in Biology
ByAnchal Negi December 25, 2024October 22, 2026

Artificial Intelligence-powered Virtual Cells (AIVCs) are an exciting new cell-equivalent system. As the name states, AIVCs utilize complex algorithms of artificial intelligence to simulate all structural and functional characteristics of an actual biological cell. In a more advanced form, this technology is expected to revolutionize biomedical research paradigms. Creating digital clones of complex biological systems…

Read More Building the Virtual Cell: AI’s Next Frontier in Biology
AI | Bioinformatics | News | Paper Summary | RNA-Seq | Tools | Trending

FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq
ByAnchal Negi December 21, 2024October 22, 2026

In genomics, the conventional approach for explaining any gene expression is to cross-analyze bulk RNA sequencing (RNA-seq) data. However, as researchers, more often than not, start collaborating across different institutions, the problem of sharing sensitive information and keeping up with privacy concerns has become more apparent. To address this issue, Boris Muzellec, Ulysse Marteau-Ferey, and…

Read More FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq
Bioinformatics | Genomics | News | NGS | Paper Summary | Tools | Trending

Streamlining Copy Number Variation Discovery: How CNV-Finder is Changing Genomics
ByAnchal Negi December 20, 2024October 22, 2026

A prevailing challenge in genomics still revolves around the comprehension of structural variants, one of which is copy number variation (CNV). To undertake the task of conquering this challenge, researchers from the National Institutes of Health, along with others, have developed a groundbreaking software known as CNV Finder. This deep-learning-based software assists in CNV identification and aids in redefining…

Read More Streamlining Copy Number Variation Discovery: How CNV-Finder is Changing Genomics
AI | Bioinformatics | News | Paper Summary | Protein Design | Structural Biology | Tools | Trending

Unlocking Protein Design with PLAID: A Sequence-Centric Generative Model for All-Atom Structures
ByDeotima Chakraborty December 18, 2024October 22, 2026

The potential influence of generative models for protein design is drawing the attention of the scientific world. However, there are numerous modalities that mediate protein activity, and it is still difficult to generate multiple modalities at once. A technique for multimodal protein synthesis called PLAID (Protein Latent Induced Diffusion) has been proposed by researchers from…

Read More Unlocking Protein Design with PLAID: A Sequence-Centric Generative Model for All-Atom Structures
AI | Bioinformatics | Deep Learning | LLM | Molecular Dynamics | News | Paper Summary | Trending

Harnessing AI for Molecular Discovery: The Promise of Molecular Dynamics Language Models
ByDeotima Chakraborty December 14, 2024October 22, 2026

Although molecular dynamics (MD) simulations provide accurate representations of the motion of molecular systems, molecular biology and materials science are challenged by the computational demands of these simulations. Since deep learning techniques have proven successful in many domains, it is unclear if they can be used to improve the effectiveness of MD simulations. Researchers from…

Read More Harnessing AI for Molecular Discovery: The Promise of Molecular Dynamics Language Models
AI | Bioinformatics | Genomics | GWAS | News | Paper Summary | Tools | Trending

The G2PT Model: Bridging the Gap Between Genotype and Phenotype Using Hierarchical Transformers
ByAnchal Negi December 11, 2024October 22, 2026

Gaining insight into the peculiar relationship between the genes we possess and the characteristics they express is undoubtedly one of the most intriguing quests in biology. Understanding the relationship between genotype and phenotype can benefit medicine, agriculture, and evolutionism. Researchers from the University of California at San Diego have offered a compelling solution to this problem…

Read More The G2PT Model: Bridging the Gap Between Genotype and Phenotype Using Hierarchical Transformers
AI | Bioinformatics | COVID-19 | Drug Discovery | LLM | News | Paper Summary | Trending

Exploring New Frontiers in SARS-CoV-2 Research with The Virtual Lab
ByAnchal Negi November 28, 2024October 22, 2026

When COVID-19 emerged as a global catastrophe, the scientists had only one goal: to come up with the possible treatments for the virus SARS-CoV-2, which was quickly changing its form. Now, scientists appear to be harnessing the potential of artificial intelligence (AI) to explore unexplored territories in science. One such approach introduced by Stanford University…

Read More Exploring New Frontiers in SARS-CoV-2 Research with The Virtual Lab
AI | Bioinformatics | Deep Learning | LLM | News | Paper Summary | Structural Biology | Tools | Trending

RhoFold+: Transforming RNA 3D Structure Prediction with Deep Learning
ByDeotima Chakraborty November 28, 2024October 22, 2026

Although RNA 3D structures are important in understanding their functions and in the design of new drugs, their accurate prediction is still a challenge. Structural flexibility makes computational predictive efforts even more problematic because of the scarcity of experimental input. In this study, researchers from The Chinese University of Hong Kong, Harvard University, Fudan University,…

Read More RhoFold+: Transforming RNA 3D Structure Prediction with Deep Learning
AI | Bioinformatics | Drug Discovery | LLM | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

How BALM is Redefining Binding Affinity Prediction for Unseen Targets and Drugs
ByAnchal Negi November 18, 2024October 22, 2026

In the fast-paced world of drug discovery, one of the most crucial aspects is understanding protein-ligand interactions. With the correct algorithms for predicting protein-ligand interactions, effective drug candidates may be recognized much more quickly than through traditional approaches involving costly testing. Researchers from the University of Edinburgh proposed BALM, which stands for Binding Affinity Learning…

Read More How BALM is Redefining Binding Affinity Prediction for Unseen Targets and Drugs
AI | Bioinformatics | LLM | News | Tools | Trending

EPBDxDNABERT-2: A Multi-Modal Deep Learning Model for Enhanced Transcription Factor DNA Binding Prediction
ByDeotima Chakraborty November 17, 2024October 22, 2026

It has been demonstrated that there is a functional correlation between transcriptional activity, thermodynamic stability, DNA breathing, and transcription factor (TF) binds. The researchers created the multi-modal deep learning model EPBDxDNABERT-2, which is based on the Extended Peyrard-Bishop-Dauxois (EPBD) nonlinear DNA dynamics model, to determine the exact link between TF binding and DNA breathing. With…

Read More EPBDxDNABERT-2: A Multi-Modal Deep Learning Model for Enhanced Transcription Factor DNA Binding Prediction
AI | Big Data | Bioinformatics | Data Analysis | Education | News | OMICS | Proteomics | Trending

The Future of Bioinformatics: Building Expertise for Data-Driven Discovery
ByDr. Tamanna Anwar November 15, 2024October 22, 2026

In an era where biological data grows exponentially, bioinformatics has emerged as a vital interdisciplinary field that combines biology, computer science, mathematics, and statistics. With breakthroughs in next-generation sequencing (NGS), genome editing, and personalized medicine, the demand for bioinformatics professionals has skyrocketed. At its core, bioinformatics helps us make sense of complex biological data, identify…

Read More The Future of Bioinformatics: Building Expertise for Data-Driven Discovery
Bioinformatics | News | Paper Summary | RNA-Seq | Sequencing | Trending

New Bacterial Anti-Viral Defense System Revealed: How mRNA Alteration Stops Infection
ByAnchal Negi November 12, 2024October 22, 2026

As biologists have noticed, evolution has modified both bacteria and bacteriophages (i.e., viruses of bacteria), making them more complex on a smile’s molecular level. Weissman and his colleagues, Vassalo, Doering, Laub, and Michael (2007), made progress in resolving this molecular ‘cold war’ through this study, which was based on primary research performed at the Massachusetts…

Read More New Bacterial Anti-Viral Defense System Revealed: How mRNA Alteration Stops Infection
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

RAPIDDOCK: Revolutionizing Drug Discovery with Transformer-Based High-Speed Molecular Docking
ByDeotima Chakraborty November 6, 2024October 22, 2026

Small molecule drug discovery could be revolutionized by molecular docking tools. Still, current molecular docking methods are slow to screen targets, leading to missed candidates and unexpected side effects in clinical trials, despite the potential benefits of this approach. Researchers from the University of Warsaw and others present RAPIDDOCK, an effective transformer-based model for blind…

Read More RAPIDDOCK: Revolutionizing Drug Discovery with Transformer-Based High-Speed Molecular Docking
AI | Bioinformatics | Gene Expression | Machine Learning | News | Trending

Turning Genes On and Off: AI-Designed DNA Switches Revolutionize Gene Regulation
ByNeermita Bhattacharya November 3, 2024October 22, 2026

In this day and age, artificial intelligence is everywhere; it’s omnipresent. It is utilized in healthcare, finance, entertainment, IoT, agriculture, marketing, cybersecurity, and so much more! In this article, we dive into the innovative ways researchers have found to integrate AI with genomics. The possibility of tuning the expression of certain genes in organisms has…

Read More Turning Genes On and Off: AI-Designed DNA Switches Revolutionize Gene Regulation
AI | Bioinformatics | News | Paper Summary | Proteomics | Tools | Trending

Meet BioFunctional: A Comprehensive Tool for KEGG Pathway and Gene Ontology Analysis
ByAnchal Negi October 24, 2024October 22, 2026

In the field of biological research, understanding the relationship between different biological components and their function is complicated. Functional analysis, a part of computational biology, actually sheds some light on the relations between things. Yet, the steps of taking functional expression data and interpreting and visualizing them can be quite unwieldy and lengthy. To meet…

Read More Meet BioFunctional: A Comprehensive Tool for KEGG Pathway and Gene Ontology Analysis
AI | Bioinformatics | Drug Discovery | LLM | News | Paper Summary | Trending

InstructBioMol: Empowering Researchers to Design Biomolecules through AI and Human Collaboration
ByDeotima Chakraborty October 19, 2024October 22, 2026

Drug discovery, synthetic biology, and enzyme engineering are all dependent on the ability to comprehend and create biomolecules, such as proteins and tiny molecules. Recent advances in Artificial Intelligence (AI) have brought biomolecular research to a new level of precision in biomolecular design and prediction. However, a significant divide still exists between the computational prowess…

Read More InstructBioMol: Empowering Researchers to Design Biomolecules through AI and Human Collaboration
AI | Bioinformatics | Deep Learning | News | Paper Summary | PPI | Structural Biology | Trending

Computing the Human Interactome: A Deep Dive into Protein Interactions
ByAnchal Negi October 16, 2024October 22, 2026

A recent study by a team of researchers has made significant strides in unraveling this complex puzzle of human interaction. The human interactome encompasses all the protein-protein interactions (PPIs) that are essential for protein function and remains an outstanding challenge. It is critical to understand these interactions to understand disease pathology and new effective interventions….

Read More Computing the Human Interactome: A Deep Dive into Protein Interactions
AI | Bioinformatics | Genomics | GWAS | News | Paper Summary | Tools | Trending

Understanding FlexLMM: A Nextflow Framework for Genome-Wide Association Studies
ByNeermita Bhattacharya October 14, 2024October 22, 2026

Genome-wide association Studies (GWAS) consider sequencing the DNA of a person and then comparing it with a population to find genetic markers associated with a disease or trait, and this is why they have become an integral part of modern genomics. However, the ongoing development of GWAS has led to the growth of problems associated…

Read More Understanding FlexLMM: A Nextflow Framework for Genome-Wide Association Studies
Bioinformatics | Genomics | Metagenomics | News | OMICS | Paper Summary | Precision Medicine

Meet metagWGS: A Flexible Workflow for Comprehensive Metagenomic Data Processing
ByDeotima Chakraborty October 12, 2024October 22, 2026

An increasing number of studies employ metagenomic analyses to investigate the taxonomy and function of microorganism communities. In many microbial research, one typical job is to retrieve metagenome-assembled genomes (MAGs) by binning contigs from metagenomic data. Yet, during this procedure, a substantial amount of information is lost. It is, therefore, essential to have functional and…

Read More Meet metagWGS: A Flexible Workflow for Comprehensive Metagenomic Data Processing
AI | Bioinformatics | News | Structural Biology

The Protein Revolution: 2024 Nobel Prize in Chemistry Pioneers Protein Design and AI-Powered Predictions
ByDr. Tamanna Anwar October 10, 2024October 22, 2026

In a groundbreaking announcement that has sent ripples through the scientific community, the Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize in Chemistry to three visionaries who have revolutionized our understanding and manipulation of proteins – the fundamental building blocks of life. The Laureates: Architects of Protein Innovation These innovators haven’t just…

Read More The Protein Revolution: 2024 Nobel Prize in Chemistry Pioneers Protein Design and AI-Powered Predictions
AI | Bioinformatics | Drug Discovery | Learn Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending

MedChem Game: Gamifying Drug Discovery with AI on Your Android
ByNeermita Bhattacharya October 3, 2024October 22, 2026

Improved computational tools and artificial intelligence significantly improve drug discovery. This process has automated activities like molecular docking and predictive modeling to discover candidates for drugs with enhanced efficiency and a better prospect of correct predictions. Thus, several cheminformatics tools are currently untouchable for those without relevant specialized expertise. What if there was a way…

Read More MedChem Game: Gamifying Drug Discovery with AI on Your Android
Bioinformatics | Genomics | News | Paper Summary | Sequencing | Transcriptomics | Trending

Expansion in situ Genome Sequencing: A New Tool for Studying Nuclear Abnormalities
ByAnchal Negi October 1, 2024October 22, 2026

The investigation of nuclear anomalies and how they influence the regulation of genes warrants analysis of various cellular functions and diseases. The researchers from MIT, Harvard, and the University of California San Francisco describe a new approach, Expansion in situ Genome Sequencing (ExIGS), that allows, for the first time, to unravel the relationship between nuclear…

Read More Expansion in situ Genome Sequencing: A New Tool for Studying Nuclear Abnormalities
Bioinformatics | Education | Featured | Tools | Trending

Top 5 Laptops for Bioinformatics
ByDr. Tamanna Anwar September 29, 2024October 22, 2026

Bioinformatics is a rapidly growing field that blends biology, computer science, and data analysis to make sense of biological data. This field is growing fast. The right laptop can boost your productivity, whether you work with sequencing data, run simulations, or create new computational tools. This post will look at the top 5 laptops for…

Read More Top 5 Laptops for Bioinformatics
AI | Bioinformatics | Cell | News | Paper Summary | Trending

The Future of Cell Modeling: Building Virtual Cells with Artificial Intelligence
ByDeotima Chakraborty September 27, 2024October 22, 2026

One of the most important concepts in biology is the cell, which is perhaps the smallest unit of life. This understanding and identifying the underlying causes of the disease depend on accurate cell modeling. New possibilities for modeling cells are presented by recent developments in artificial intelligence (AI) and the capacity to produce massive amounts…

Read More The Future of Cell Modeling: Building Virtual Cells with Artificial Intelligence
Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Tools | Trending

Unveiling Druggable Pockets with PocketVec: A Comprehensive Approach with Binding Site Descriptors
ByDeotima Chakraborty September 24, 2024October 22, 2026

Target-based drug development depends heavily on characterizing druggable pockets, which are protein areas with the capacity to bind organic small molecules. Nevertheless, the process of obtaining pocket descriptors is complex, and the effectiveness of current approaches is frequently restricted. Researchers present PocketVec, a method for creating pocket descriptors by virtually screening lead-like compounds inversely. PocketVec…

Read More Unveiling Druggable Pockets with PocketVec: A Comprehensive Approach with Binding Site Descriptors
Bioinformatics | News | Paper Summary | Trending

WikiPathways 2024: A Next-Generation Pathway Database
ByAnchal Negi September 23, 2024October 22, 2026

WikiPathways is an open-access biological pathway database that was first launched in 2007. It is still being developed and updated by a group of researchers at the Broad Institute and the University of California in San Francisco. PathwayWiki is an activity that includes building and editing models of pathways by researchers from every corner of…

Read More WikiPathways 2024: A Next-Generation Pathway Database
AI | Bioinformatics | Foundation Model | News | Paper Summary | Protein Design | Structural Biology | Tools | Trending

ProteinBench: Unveiling the True Potential of Protein Foundation Models
ByDeotima Chakraborty September 18, 2024October 22, 2026

A notable progress in protein prediction and generative tasks, such as 3D structure prediction, protein design, and conformational dynamics, has been made in recent years with the rapid development of protein foundation models. Nevertheless, the lack of a consistent evaluation methodology means that the potential and constraints of these models are still little understood. Researchers…

Read More ProteinBench: Unveiling the True Potential of Protein Foundation Models
Bioinformatics | Biotech | News | Paper Summary | Structural Biology | Trending

A DNA Damage Repair Superhero ‘DdrC’
ByAnchal Negi August 24, 2024October 22, 2026

A recent study published in Nucleic Acids Research has unveiled a critical role played by DdrC. The researchers found out that it can work as a repairer of damages and also a preventer of the same. It acts like a sentry patrolling DNA for damage signs. Researchers have been fascinated by Deinococcus radiodurans for some…

Read More A DNA Damage Repair Superhero ‘DdrC’
Bioinformatics | Computational Models | Machine Learning | News | Paper Summary | Proteomics | Trending

Oxford Researchers Breakthrough in Predicting Protein Function from Sequence Alone Using Statistics-Informed Graph Networks
ByDeotima Chakraborty August 17, 2024October 22, 2026

Understanding the complex mechanisms behind many essential biological activities is essential for developing new drugs and has broad ramifications in the disciplines of biotechnology, medicine, and drug development. Still, about 200 million proteins are uncharacterized, and computational attempts foresee annotations of different quality, mostly depending on protein structural information. Here, scientists describe a method for…

Read More Oxford Researchers Breakthrough in Predicting Protein Function from Sequence Alone Using Statistics-Informed Graph Networks
Bioinformatics | Genomics | News | OMICS | Paper Summary | Tools | Trending

Unraveling the Pangenome: Pangene Graphs Enables Comprehensive Gene Content Analysis Across Diverse Organisms
ByNeermita Bhattacharya August 8, 2024October 22, 2026

In genomics, we need to understand the gene content of an organism to understand its true biology. This is essential for large eukaryotic genomes, such as the human genome, which encompasses approximately 20,000 protein-coding genes. Currently, tools have been developed to identify gene content changes in bacterial genomes, but none apply to the human pangenome….

Read More Unraveling the Pangenome: Pangene Graphs Enables Comprehensive Gene Content Analysis Across Diverse Organisms
Bioinformatics | Drug Discovery | Molecular Dynamics | News | Paper Summary | Structural Biology | Tools | Trending

The Future of Pharma: How Quantum Computing Could Revolutionize Drug Discovery
ByAnchal Negi August 2, 2024October 22, 2026

Scientists from Tencent Quantum Lab and China Pharmaceutical University, China, introduced an innovative hybrid quantum computing pipeline developed to address the challenges of real-world drug discovery. This new approach is expected to transform the pharmaceutical industry by reducing the time to develop drugs and enhancing therapeutic success. The need to create up-to-date medications for intricate…

Read More The Future of Pharma: How Quantum Computing Could Revolutionize Drug Discovery
AI | Bioinformatics | Biotech | Machine Learning | News | Paper Summary | Trending

Turning Trash into Treasure: Machine Learning’s Magic Touch on Waste
ByNeermita Bhattacharya July 31, 2024October 22, 2026

Machine learning (ML) is revolutionizing biological waste treatment, addressing long-standing challenges in process stability and product quality. ML’s crucial role in optimizing anaerobic digestion, composting, and insect farming enables more efficient renewable energy production and nutrient recovery. This breakthrough application of AI technologies promises to transform waste management, potentially leading to more sustainable and productive…

Read More Turning Trash into Treasure: Machine Learning’s Magic Touch on Waste
Bioinformatics | Infectious Diseases | News | Paper Summary | Structural Biology | Trending | Virus

Avian Flu’s Shifting Landscape: What 65 Years of H5 Data Tell Us
ByAnchal Negi July 31, 2024October 22, 2026

Scientists from the University of North Carolina at Charlotte (UNC Charlotte) recently employed an advanced computational technique on the H5N1 virus and its interaction with existing antibodies to analyze 65 years of H5 data. Avian influenza, or H5N1 influenza as often called, has long been a concern for poultry farmers and public health officials. H5N1…

Read More Avian Flu’s Shifting Landscape: What 65 Years of H5 Data Tell Us

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Bioinformatics

Top 30 Python Libraries Used in Bioinformatics

25 New Compounds: How Scripps Research Uses Computer Modeling to Transform Drug Discovery

Meet metagWGS: A Flexible Workflow for Comprehensive Metagenomic Data Processing

The Protein Revolution: 2024 Nobel Prize in Chemistry Pioneers Protein Design and AI-Powered Predictions

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