MIT’s ChromoGen: A Diffusion Model for DNA Sequence to 3D Structure...
Microscopic imaging and high-throughput sequencing methods show that chromatin structures differ greatly between cells, although characterization is still difficult because of the labor-intensive nature...
GenomeOcean: A 4B-Parameter Genome Foundation Model Advancing Metagenomics, Drug Discovery, and...
The field of bioinformatics is witnessing a major transformation with the development of genome foundation models. In a recent study conducted by researchers from...
How Directed Evolution and Machine Learning Enhance Genotype to Phenotype Mapping
It is essential to connect sequence variation to phenotypic effects to effectively utilize huge genomic datasets. Here, researchers describe a unique method for characterizing...
How Proteins Know Where to Go: MIT’s ProtGPS Predicts Protein Localization...
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...
doubletrouble: A Comprehensive R Package for Gene Duplication Detection and Classification
A major factor in evolution, genome duplications have different effects on the expression, function, and regulation of genes. However, multiple duplication modes make it...
dnaSORA: The AI Model Making Human Genome Reading as Simple as...
Understanding the human genome is often compared to deciphering an ancient, complex language with three billion characters. While AI has made great strides in...
Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework
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...
Revolutionizing Cancer Diagnosis and Treatment: The Transformative Role of AI in...
Artificial intelligence is revolutionizing the diagnosis, treatment, and treatment of cancer. AI overcomes the drawbacks of traditional diagnostic methods by increasing accuracy to optimize...
NuFold: A Revolutionary Leap in RNA Tertiary Structure Prediction
RNA, often overshadowed by its protein counterpart, plays an essential role in the molecular machinery of life. Predicting RNA’s three-dimensional (3D) structure is a...
MDGEN: Unlocking New Frontiers in Molecular Dynamics with Generative AI
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...
Enhancing Drug Discovery with NRGSuite-Qt: A PyMOL Plugin for Virtual Screening...
Drug discovery and protein engineering are some of the most challenging aspects of cutting-edge scientific research. It is also a field that holds great...
Visualizing Omics Data Made Easy with DataColor’s 600+ Parameters
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....
From Complexity to Simplicity: BATCHIE’s Role in Uncovering Cancer Drug Synergies
Combination therapies have emerged as a new strategy in the battle against cancer and are viewed as superior to previously existing treatment options. There...
IRB Barcelona Unveils Oncodrive3D to Identify Cancer Driver Genes Using 3D...
Finding the genes that can cause tumors in various tissues is one of the main objectives of cancer genomics. Computational techniques that use various...
Top 30 Python Libraries Used in Bioinformatics
Bioinformatics sits at the fascinating intersection of biology, computer science, and data analysis, with Python as a powerful language that drives groundbreaking research and...
Exploring the Uncharted: How FoldTuned Language Models Reveal Hidden Sequence-Structure Insights
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...
Penn Researchers Use Deep Learning to Design Multimodal Antibiotics for Combating...
The rise of antimicrobial resistance has made treating intracellular infections a significant challenge, as conventional antibiotics often fail to neutralize pathogens hidden within human...
Quantum-Si Unveils ProteoVue™ to Unlock New Frontiers in Protein Variant Detection...
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...
Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for...
Cellarity, Inc., and NVIDIA have unveiled MOLRL (Molecule Optimization with Latent Reinforcement Learning), a groundbreaking framework for molecular optimization. This approach leverages the latent...
25 New Compounds: How Scripps Research Uses Computer Modeling to Transform...
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...
How Evolla is Deciphering the Molecular Language of Proteins with an...
The complex molecular machinery that make up nature, proteins have evolved over billions of years and are essential to the continuation of life. However,...
University of Washington Researchers Revolutionize Beta-Barrel and Transmembrane Nanopore Design Using...
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....
USC Researchers Unveil METAGENE-1: Advancing Pathogen Detection and Pandemic Monitoring
In the ever-evolving world of infectious diseases, early detection and monitoring play a critical role in combating pandemics. In a groundbreaking collaboration, researchers from...
10 Days Hands-on Skill Development Training Program on R for Bioinformatics...
R is a powerful and versatile programming language widely used in biological data analysis for its robust statistical capabilities and extensive library of tools...
Generating Hit-Like Molecules with Gx2Mol: A Deep Dive into Gene Expression...
Even though SMILES and molecular graphs have been used in earlier research, drug reactions in biological systems, such as genes and proteins, are frequently...
MIT Scientists Develop More Precise Computational Method for Predicting Antibody Structures
Antibodies, the sentinels of our immune system, are masters of adaptability. Their ability to bind to an almost infinite range of pathogens lies in...
Human Metapneumovirus (HMPV): A Hidden Respiratory Threat or Just Another Cold...
Human Metapneumovirus (HMPV) is a respiratory virus that has recently gained prominence in public health discussions, particularly due to outbreaks in various regions, including...
Scaling Structure-Based Molecular Design with ECloudGen’s Electron Cloud Approach
In a groundbreaking step toward more effective molecular design, researchers from Zhejiang University and others have introduced ECloudGen, a cutting-edge framework that integrates quantum...
RNAGenesis: A Foundation Model Advancing RNA Sequence Generation and Structural Insights
Many biological processes depend on RNA engineering, which advances the knowledge of life's mechanisms and propels the discovery of new drugs. New strategies are...
How SCREADER Uses Large Language Models to Decode scRNA-seq Data
In a groundbreaking study by researchers at the Harbin Institute of Technology, a novel approach to interpreting single-cell RNA sequencing (scRNA-seq) data has emerged....
MIT Unveils Boltz-1: An Open-Source Tool for Biomolecular Structure Prediction
Developing an understanding of biomolecular interactions is essential for developing domains such as protein design and drug development. The open-source deep learning model Boltz-1,...
Top 10 Bioinformatics Breakthroughs of 2024!
In 2024, bioinformatics has once again proven to be a cornerstone of innovation, driving discoveries that are reshaping our understanding of life at a...
AI-Powered SciAgents: Redefining Research in Complex and Interdisciplinary Scientific Domains
In this work, researchers from MIT present an AI invention called SciAgents that solves hidden interdisciplinarity connections that were originally seen as distinct. The...
Aging Reimagined: The Power of Metabolomics and Machine Learning
A groundbreaking study conducted by researchers at the UK Biobank has unveiled a novel approach to understanding aging through metabolomics and machine learning. This...
Large Language Models Redefine Antigen-Specific Antibody Design
Machine learning and artificial intelligence (AI), two recent developments in computational biology, have demonstrated important capabilities and benefits above conventional approaches. AI-based techniques have...
Top 5 AI Trends Bioinformaticians Need to Know in 2025
As we approach 2025, the integration of artificial intelligence (AI) into bioinformatics is set to transform the field dramatically. Bioinformaticians must stay abreast of...
Building the Virtual Cell: AI’s Next Frontier in Biology
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...
Predicting Protein Dynamics with BioEmu: A New Frontier in Biomolecular Research
A major field of study is the scientific problem of predicting dynamical mechanisms in proteins after structural revolutions, with molecular dynamics simulations offering important...
How Does NeuralPLexer3 Combine Physics and Machine Learning for Superior Biomolecular...
The quest to understand biomolecular interactions is central to advancing drug discovery, molecular biology, and bioengineering. A significant step in this journey is accurately...
FedPyDESeq2: Advancing Differential Expression Analysis with Federated Learning for Bulk RNA-Seq
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...
Decoding Protein Roles with ProCyon: A Unified Framework for Multiscale Phenotypes
About 20% of human proteins lack recognized functionalities, and over 40% lack context-specific functionals, underscoring the difficulties of comprehending these proteins and their varied...
Streamlining Copy Number Variation Discovery: How CNV-Finder is Changing Genomics
A prevailing challenge in genomics still revolves around the comprehension of structural variants, one of which is copy number variation (CNV). To undertake the...
Unlocking Protein Design with PLAID: A Sequence-Centric Generative Model for All-Atom...
The potential influence of generative models for protein design is drawing the attention of the scientific world. However, there are numerous modalities that mediate...
The Nucleotide Transformer: How Foundation Models are Shaping Human Genomics
The field of genomics is ever-changing as a result of an increase in automation and aspects of biological engineering. A groundbreaking study led by...
Protein Language Visualizer: A New Era of Sequence Similarity Exploration
The availability of biological "big data" and the development of high-throughput sequencing technology have sped up the identification of new protein sequences, making it...
Unlocking the Potential of Equivariant Diffusion Models for Structure-Based Drug Design...
In the quest to create better and faster methods for drug discovery, a team of innovative researchers from various institutions has developed a groundbreaking...
Harnessing AI for Molecular Discovery: The Promise of Molecular Dynamics Language...
Although molecular dynamics (MD) simulations provide accurate representations of the motion of molecular systems, molecular biology and materials science are challenged by the computational...
Decoding the Genetic Mechanism of B Chromosome Drive in Rye
The extra genetic material, which appears as 'B chromosomes,' has been a riddle for security for many species. They are of least concern for...
Streamlining High-Throughput Protein Complex Modeling with AlphaPulldown2
AlphaPulldown version 2.0, a noteworthy computational biology program that transforms protein structure modeling, is presented by researchers from the European Molecular Biology Laboratory, Hamburg,...
The G2PT Model: Bridging the Gap Between Genotype and Phenotype Using...
Gaining insight into the peculiar relationship between the genes we possess and the characteristics they express is undoubtedly one of the most intriguing quests...
Must Read
Solving a Long-Standing Genomics Bottleneck: KAIST Proposes AI-Powered Strategy for Gene Function Prediction
KAIST and UCSD researchers proposed AI-driven strategies for microbial gene function discovery, addressing the long-standing bottleneck where many microbial genes remain uncharacterized despite advances...
AI-Powered Metagenomics: How MetagenBERT Predicts Disease From Raw DNA Sequences
Researchers from Sorbonne University and Dauphine University, France, introduced MetagenBERT, a Transformer-based framework for disease prediction directly from raw metagenomic DNA without relying on...
ToposBio Unveils Topos-1: An All-Atom Foundation Model for Intrinsically Disordered Proteins
Intrinsically disordered proteins (IDPs) are proteins that are central to neurodegenerative diseases and aggressive cancers like prostate cancer, have been considered ‘undruggable’ as structures...
CleaveNet Enables Scalable and Targeted Protease Substrate Design for Diagnostics and Therapeutics
Scientists from MIT and Microsoft Research present CleaveNet, an AI-based pipeline that merges predictive and generative modeling for end-to-end peptide (short protein) design. By...
Advancing Peptide Therapeutics with PeptiVerse’s Unified Prediction Framework
Researchers at the University of Pennsylvania developed PeptiVerse, a single platform that predicts drug-related properties of therapeutic peptides using either amino acid sequences or...