AI

How artificial intelligence is changing biology and medicine, from protein structure prediction to AI-driven drug discovery and genomics.

AI | Cancer | Deep Learning | Genomics | News | OMICS | Paper Summary | Tools | Trending

DeepSomatic: Redefining Somatic Variant Detection in the Genomic Sequencing Era
ByJainab Shaikh January 2, 2026October 22, 2026

Scientists at UC Santa Cruz, Google, the National Institutes of Health, and partner institutes have developed DeepSomatic, a deep-learning tool that detects cancer-related DNA alterations (somatic variations) from both short-read and long-read sequencing. Unlike other tools, it can operate with whole-genome, exome, tumor-normal, tumor-only, and FFPE samples. The team generated and publicly released five matched…

Read More DeepSomatic: Redefining Somatic Variant Detection in the Genomic Sequencing Era
AI | Bioinformatics | Drug Discovery | LLM | Molecular Dynamics | News | Tools | Trending

Towards Fully Autonomous Molecular Dynamics: The DynaMate Framework
BySaniya Sayyed January 1, 2026October 22, 2026

Researchers from École Polytechnique Fédérale de Lausanne (EPFL) and the National Centre of Competence in Research (NCCR) Catalysis, Switzerland, introduced DynaMate, an autonomous AI system that can fully set up, run, and analyze molecular dynamics simulations for proteins and protein-ligand complexes. DynaMate employs a multi-agent large language model architecture to plan simulation workflows, prepare molecular systems, and…

Read More Towards Fully Autonomous Molecular Dynamics: The DynaMate Framework
AI | Bioinformatics | Deep Learning | News | Paper Summary | Proteomics | Trending

How SPURS Unlocks Scalable and Accurate Protein Stability Prediction
ByAnchal Negi December 31, 2025October 22, 2026

Protein engineering is in the middle of a quiet revolution, and a new study from researchers at the School of Computational Science and Engineering, Georgia Institute of Technology, pushes that revolution a big step forward, introducing SPURS (stability prediction using a rewired strategy). Their work, published in Nature Communications, tackles a longstanding challenge in computational…

Read More How SPURS Unlocks Scalable and Accurate Protein Stability Prediction
AI | Bioinformatics | Drug Discovery | Foundation Model | News | Paper Summary | Structural Biology | Trending

Placing Every Atom Right: PEARL’s Deep Learning Approach to Drug Discovery
ByAnchal Negi December 22, 2025October 22, 2026

Genesis Molecular AI and NVIDIA have introduced PEARL (Placing Every Atom in the Right Location), a deep learning foundation model designed for large-scale protein–ligand cofolding in computational drug discovery. By leveraging synthetic training data, SO(3)-equivariant diffusion architectures, and controllable inference, PEARL achieves more accurate and physically valid binding pose predictions, outperforming AlphaFold 3 and other leading…

Read More Placing Every Atom Right: PEARL’s Deep Learning Approach to Drug Discovery
AI | Bioinformatics | Foundation Model | Genomics | News | NGS | OMICS | Paper Summary | Trending

Agentic AI Meets RNA‑seq: A New Co‑Pilot For Downstream Analysis
ByAnchal Negi December 18, 2025October 22, 2026

Next-generation sequencing has transformed gene expression profiling into a routine experiment, but interpreting those matrices remains a challenge for many labs. Researchers from Kyungpook National University, Republic of Korea, address this gap by developing an “agentic” AI system that can plan, execute, and interpret RNA-sequencing downstream analysis for researchers with limited biological backgrounds. As a…

Read More Agentic AI Meets RNA‑seq: A New Co‑Pilot For Downstream Analysis
AI | Bioinformatics | LLM | News

Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists
ByAnchal Negi December 11, 2025October 22, 2026

In the rapidly evolving field of single-cell biology, accurately identifying cell types from complex datasets remains a cornerstone of research. A team of scientists from Nanjing University, Inner Mongolia Minzu University, and Zhejiang University in China has developed CellReasoner, a groundbreaking artificial intelligence tool designed to streamline this process. This work introduces a lightweight, open-source…

Read More Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists
AI | Bioengineering | Bioinformatics | Machine Learning | News | Paper Summary | Protein Design

Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI
ByDeotima Chakraborty December 5, 2025October 22, 2026

Peptides, which are short chains of amino acids, have become increasingly important in the world of medicine and biotechnology. Their unique properties make them ideal candidates for applications ranging from hormone therapies to antimicrobial agents. However, designing new, functional peptides has always been a challenge, primarily because traditional machine learning models require enormous datasets, often…

Read More Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI
AI | Machine Learning | News | Paper Summary | Proteomics

Can Machine Learning Finally Crack the Protein Expression Code?
ByAnchal Negi December 4, 2025October 22, 2026

A team of researchers from the University of Edinburgh and collaborators from institutions like Stanford and UC San Francisco have tackled a central question in biotechnology: can we make protein expression predictable and routine? Their review, published in Trends in Biotechnology, explores why expressing proteins in host organisms remains a challenge, what’s holding the field…

Read More Can Machine Learning Finally Crack the Protein Expression Code?
AI | Genomics | News | OMICS | Paper Summary | Tools | Trending

AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function
ByAnchal Negi August 20, 2025October 22, 2026

Imagine holding a book written in a language where only 2% of the pages contain clear instructions, while the remaining 98% seem like indecipherable code. This mirrors the challenge scientists face with the human genome, where protein-coding regions make up a tiny fraction while non-coding regions control life’s essential processes. For decades, interpreting these regulatory…

Read More AlphaGenome: DeepMind’s New AI Model for Unlocking Genome Function
AI | Bioinformatics | Drug Discovery | Molecular Dynamics | News | Paper Summary | Structural Biology | Tools | Trending

From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?
ByDeotima Chakraborty June 10, 2025October 22, 2026

In modern biology, accurately simulating biomolecular interactions is a major difficulty. Our capacity to predict biomolecular complex structures has significantly improved with recent developments like AlphaFold3 and Boltz-1, yet these models are still unable to predict binding affinity, a crucial characteristic that underlies molecular function and therapeutic efficacy. Here, researchers from MIT introduce Boltz-2, a…

Read More From Boltz-1 to Boltz-2: Did We Finally Bridge the Gap Between Structure and Affinity?
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Trending

D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling
ByDeotima Chakraborty May 29, 2025October 22, 2026

The requirement and utility of conventional force field-based folding simulations have been called into question by the overwhelming success of deep learning techniques in protein structure prediction. Researchers from the University of Michigan and the National University of Singapore presented a hybrid method called deep-learning-based iterative threading assembly refinement (D-I-TASSER), which combines iterative threading fragment…

Read More D-I-TASSER Outperforms AlphaFold? A New Frontier in Protein Structure Modeling
AI | Bioinformatics | News | Paper Summary | Protein Design | Structural Biology | Trending

Overlapping Genes, Unfolding Insights: Synthetic Biology Meets AI
ByDeotima Chakraborty May 22, 2025October 22, 2026

Given that the sharing of codon nucleotides dramatically reduces the size of protein sequences, viruses in nature often generate overlapping genes (OLG) in alternate reading frames of the same nucleotide sequence. The question of whether amino acid sequences are sufficiently degenerate with regard to protein folding to permit the extensive overlap of arbitrary pairs of…

Read More Overlapping Genes, Unfolding Insights: Synthetic Biology Meets AI
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Trending

PhysDock: A New Era in Protein-Ligand Docking with AI and Physics
ByAnchal Negi May 19, 2025October 22, 2026

In a breakthrough that could transform drug discovery, a team of researchers from ShanghaiTech University has introduced PhysDock, a novel AI-powered model designed to predict how small molecules (ligands) bind to proteins with atomic-level precision. Protein-ligand docking plays a central role in structure-based drug design. It helps researchers understand how drugs interact with their biological…

Read More PhysDock: A New Era in Protein-Ligand Docking with AI and Physics
AI | Bioinformatics | News | Paper Summary | Structural Biology | Tools | Trending

Advancing Enzyme Design: RFdiffusion2 Enables Atomic-Level Scaffold Generation
ByDeotima Chakraborty May 15, 2025October 22, 2026

In de novo enzyme design, the functional groups surrounding reaction transition states are described in the optimal active site. There are drawbacks to the generative AI technique RFdiffusion, which has been used to build highly active enzymes. The active site’s geometry can only be defined at the residue level, necessitating the construction of side chain…

Read More Advancing Enzyme Design: RFdiffusion2 Enables Atomic-Level Scaffold Generation
AI | Bioinformatics | Data Analysis | Drug Discovery | Education | Genomics | Machine Learning | News | Structural Biology | Tools | Trending

45 Days Hands-on Skill Development Summer Training/Internship on “From Base Pairs to Big Data: Bioinformatics Bootcamp for the Next Generation”
ByCBIRT May 3, 2025October 22, 2026

Are you ready to transform your understanding of bioinformatics and gain hands-on experience with cutting-edge tools and technologies? The Centre of Bioinformatics Research & Technology (CBIRT) is thrilled to announce its Summer Training/Internship Program—From Base Pairs to Big Data: Bioinformatics Bootcamp for the Next Generation. This intensive 1.5-month program (15 May to 30 June 2025) is designed to equip students…

Read More 45 Days Hands-on Skill Development Summer Training/Internship on “From Base Pairs to Big Data: Bioinformatics Bootcamp for the Next Generation”
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

Building Better Models: How AI and Experimentation Shape GPCR Research in AlphaFold Era
ByDeotima Chakraborty April 30, 2025October 22, 2026

The GPCR Dock competitions are a set of community-wide evaluations of ligand docking and computational structural modeling for G protein-coupled receptors, a key class of therapeutic targets in the human proteome. To shape and guide the development of computational modeling approaches for GPCRs, the assessments are intended to offer an objective summary of advancements and…

Read More Building Better Models: How AI and Experimentation Shape GPCR Research in AlphaFold Era
AI | Bioinformatics | Deep Learning | Drug Discovery | News | Paper Summary | Structural Biology | Trending

Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design
ByAnchal Negi April 23, 2025October 22, 2026

In a recent breakthrough in AI-driven drug discovery, researchers from Pfizer, AstraZeneca, and Chalmers University unveiled a new generative framework called FLOWR, designed to revolutionize structure-based ligand generation. Their collaborative work bridges machine learning, computational chemistry, and pharmaceutical research and is set to address some of the most persistent challenges in early-stage drug design. Why…

Read More Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design
AI | Bioinformatics | LLM | News | Paper Summary | Trending

Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery
ByDeotima Chakraborty April 13, 2025October 22, 2026

Hundreds of scientists come together through collaborative efforts to accomplish a shared goal during scientific discovery processes. Current workflows generate research independently, yet they cannot continually enhance previous discoveries because researchers work separately from one another. AgentRxiv, introduced by researchers from Johns Hopkins University and ETH Zurich, presents a system that solves these challenges by…

Read More Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery
AI | Bioinformatics | Deep Learning | Drug Discovery | Molecular Dynamics | News | Paper Summary | Structural Biology | Trending

MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation
ByAnchal Negi April 12, 2025October 22, 2026

Recent years have witnessed significant advancements in the fields of artificial intelligence (AI) and machine learning (ML), catalyzing a revolution in cheminformatics and drug discovery. These advancements have enabled scientists to predict molecular properties, design novel compounds with desired characteristics, and estimate drug/bio-macromolecular interactions with unprecedented accuracy. At the heart of these breakthroughs lies the…

Read More MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools | Trending

Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data
ByDeotima Chakraborty April 5, 2025October 22, 2026

There are more than 100 NMR relaxation datasets in the Biological Magnetic Resonance Data Bank (BMRB), which show an observable motion in µs-ms. NMR signals can be broadened beyond detection by millisecond motions, leaving residues unassigned in chemical shift datasets of about 10,000 proteins. Deep learning models were taught to predict missing assignments caused by…

Read More Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data
AI | Bioinformatics | News | Paper Summary | Trending

A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data
ByAnchal Negi April 5, 2025October 22, 2026

Advancements in precision medicine have long promised a future where treatments are tailored to individual genetic profiles. However, despite significant progress in genomics, the full potential of personalized healthcare remains largely unrealized. In their paper “A Roadmap to Precision Medicine through Post-Genomic Electronic Medical Records,” researchers from Brigham and Women’s Hospital, Harvard Medical School, and…

Read More A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data
AI | Bioinformatics | News | OMICS | Paper Summary | Trending

Lyra: A Revolutionary AI Model for Biological Sequence Modeling
ByAnchal Negi April 5, 2025October 22, 2026

Researchers from the Broad Institute of MIT and Harvard, Harvard University, Carnegie Mellon University, and Howard Hughes Medical Institute, the study introduces Lyra—a groundbreaking deep-learning model designed for efficient biological sequence modeling. The Need for Efficient Biological Sequence Modeling Understanding the intricate relationships between DNA, RNA, and protein sequences is at the heart of modern…

Read More Lyra: A Revolutionary AI Model for Biological Sequence Modeling
AI | Bioinformatics | Drug Discovery | Machine Learning | News | Paper Summary | Structural Biology | Tools | Trending

UNC Researchers Unveil DELi, a Powerful Open-Source Tool for DNA-Encoded Library Informatics
ByAnchal Negi March 22, 2025October 22, 2026

The entire process of drug discovery costs more than a billion dollars and takes over a decade to complete. This is an expensive and time-consuming process. However, to help improve efficiency, DNA Encoded Library (DEL) technology has been introduced, which enables researchers to screen billions of small molecules for possible drug candidates. The most challenging…

Read More UNC Researchers Unveil DELi, a Powerful Open-Source Tool for DNA-Encoded Library Informatics
AI | Bioinformatics | Deep Learning | News | Paper Summary | Protein Design | RNA | Structural Biology | Tools

RNA-BAnG: A Deep Learning Breakthrough for Designing Protein-Binding RNA Sequences
ByDeotima Chakraborty March 19, 2025October 22, 2026

One of the most significant challenges in computational and experimental biology is creating RNA molecules that interact with particular proteins. The practical use of current computational methods is limited by their requirement for a significant number of empirically confirmed RNA sequences for every individual protein or a thorough understanding of RNA structure. Researchers have developed…

Read More RNA-BAnG: A Deep Learning Breakthrough for Designing Protein-Binding RNA Sequences
AI | Cancer | Data Analysis | LLM | News | Paper Summary | Proteomics | Tools | Trending

Democratizing Cancer Omics: How DrBioRight 2.0 Simplifies Complex Data Analysis
ByDeotima Chakraborty March 13, 2025October 22, 2026

Functional proteomics makes the identification of new biomarkers and treatment targets easier by offering vital insights into cancer mechanisms. By combining information from over 900 samples from the Cancer Cell Line Encyclopedia and nearly 8000 patient samples from The Cancer Genome Atlas, researchers have created a comprehensive cancer functional proteomics database employing reverse phase protein…

Read More Democratizing Cancer Omics: How DrBioRight 2.0 Simplifies Complex Data Analysis
AI | Bioinformatics | Foundation Model | Machine Learning | News | Paper Summary | Trending

Sakana AI, MIT, and OpenAI Introduce Automated Search for Artificial Life (ASAL), a Leap Forward in Artificial Life Discovery
ByAnchal Negi March 6, 2025October 22, 2026

Artificial Life (ALife) has fascinated researchers for years, offering insights into the principles of life, intelligence, and evolution. In a pioneering study, Sakana AI, in collaboration with MIT, OpenAI, The Swiss AI Lab IDSIA, and Ken Stanley, introduced Automated Search for Artificial Life (ASAL)—a revolutionary approach using foundation models (FMs) to explore and analyze artificial…

Read More Sakana AI, MIT, and OpenAI Introduce Automated Search for Artificial Life (ASAL), a Leap Forward in Artificial Life Discovery
AI | Bioinformatics | Machine Learning | Molecular Dynamics | News | Paper Summary | Structural Biology | Tools | Trending

Microsoft’s BioEmu-1: A Game Changer for Protein Dynamics and Drug Discovery
ByDeotima Chakraborty March 5, 2025October 22, 2026

Microsoft researchers introduce BioEmu-1, an updated version of BioEmu that advances the knowledge of how proteins function by offering a window into the diverse range of structures that each protein can take on or structural ensembles. BioEmu is a generative deep learning system that tackles the scientific challenge of forecasting dynamical dynamics in proteins following…

Read More Microsoft’s BioEmu-1: A Game Changer for Protein Dynamics and Drug Discovery
AI | Foundation Model | Genomics | News | Paper Summary | Trending

NVIDIA BioNeMo Launches Evo 2: A Massive AI Foundation Model for Biomolecular Research Across Species
ByAnchal Negi February 22, 2025October 22, 2026

In a groundbreaking collaboration, researchers from the Arc Institute, Stanford University, and NVIDIA have unveiled Evo 2, a cutting-edge AI model designed to understand and manipulate the genetic code across all domains of life. This model represents a significant leap forward in genomic research. Built on the NVIDIA DGX Cloud, Evo 2 is now the…

Read More NVIDIA BioNeMo Launches Evo 2: A Massive AI Foundation Model for Biomolecular Research Across Species
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 | Chromatin | Foundation Model | News | Paper Summary | Structural Biology | Tools | Trending

MIT’s ChromoGen: A Diffusion Model for DNA Sequence to 3D Structure Prediction in Minutes
ByDeotima Chakraborty February 19, 2025October 22, 2026

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 of the investigations. Researchers from the Massachusetts Institute of Technology present ChromoGen, a generative model that effectively predicts three-dimensional, single-cell chromatin conformations de novo with both region and cell type specificity….

Read More MIT’s ChromoGen: A Diffusion Model for DNA Sequence to 3D Structure Prediction in Minutes
AI | Bioinformatics | Foundation Model | Genomics | Metagenomics | News | Paper Summary | Trending

GenomeOcean: A 4B-Parameter Genome Foundation Model Advancing Metagenomics, Drug Discovery, and Synthetic Biology
ByAnchal Negi February 18, 2025October 22, 2026

The field of bioinformatics is witnessing a major transformation with the development of genome foundation models. In a recent study conducted by researchers from Northwestern University and Lawrence Berkeley National Laboratory, along with collaborators from multiple institutions, a groundbreaking model named GenomeOcean has been introduced. This 4-billion-parameter generative genome foundation model is trained on large-scale…

Read More GenomeOcean: A 4B-Parameter Genome Foundation Model Advancing Metagenomics, Drug Discovery, and Synthetic Biology
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
AI | Bioinformatics | Genomics | News | Paper Summary | Tools | Trending

dnaSORA: The AI Model Making Human Genome Reading as Simple as Point Clouds
ByAnchal Negi February 6, 2025October 22, 2026

Understanding the human genome is often compared to deciphering an ancient, complex language with three billion characters. While AI has made great strides in processing natural languages, reading DNA as fluently as a first language has remained a challenge—until now. A groundbreaking study by Oleksandr Koreniuk and Malick G. Njie from Ecotone, Brooklyn, introduces dnaSORA,…

Read More dnaSORA: The AI Model Making Human Genome Reading as Simple as Point Clouds
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 | Cancer | Deep Learning | Machine Learning | News | Paper Summary | Trending

Revolutionizing Cancer Diagnosis and Treatment: The Transformative Role of AI in Oncology
ByDeotima Chakraborty February 3, 2025October 22, 2026

Artificial intelligence is revolutionizing the diagnosis, treatment, and treatment of cancer. AI overcomes the drawbacks of traditional diagnostic methods by increasing accuracy to optimize treatment plans and customize medicines for various malignancies, such as lung, breast, colorectal, liver, stomach, esophageal, cervical, prostate, and skin. In this paper, researchers from Zhengzhou University draw attention to the…

Read More Revolutionizing Cancer Diagnosis and Treatment: The Transformative Role of AI in Oncology
AI | Bioinformatics | Deep Learning | News | Paper Summary | Structural Biology | Tools

NuFold: A Revolutionary Leap in RNA Tertiary Structure Prediction
ByAnchal Negi February 1, 2025October 22, 2026

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 vital challenge in understanding its function, but it’s a task riddled with complexities. Enter NuFold, an innovative RNA structure prediction method that promises to advance our understanding of RNA folding mechanisms….

Read More NuFold: A Revolutionary Leap in RNA Tertiary Structure Prediction
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
AI | Bioinformatics | Cancer | Machine Learning | News | Paper Summary | Tools | Trending

From Complexity to Simplicity: BATCHIE’s Role in Uncovering Cancer Drug Synergies
ByAnchal Negi January 26, 2025October 22, 2026

Combination therapies have emerged as a new strategy in the battle against cancer and are viewed as superior to previously existing treatment options. There is a possibility that multiple pathways involved in cancer progression may be targeted that may foster overcoming the usual resistance that comes with single-drug therapies. However, the scope of drug combinations…

Read More From Complexity to Simplicity: BATCHIE’s Role in Uncovering Cancer Drug Synergies
AI | Bioinformatics | Cancer Research | Genomics | News | Paper Summary | Structural Biology | Tools | Trending

IRB Barcelona Unveils Oncodrive3D to Identify Cancer Driver Genes Using 3D Protein Structures
ByDeotima Chakraborty January 25, 2025October 22, 2026

Finding the genes that can cause tumors in various tissues is one of the main objectives of cancer genomics. Computational techniques that use various positive selection signals in the pattern of gene mutations seen in tumors have been created for this goal. One indication of positive selection is the accumulation of mutations in regions of…

Read More IRB Barcelona Unveils Oncodrive3D to Identify Cancer Driver Genes Using 3D Protein Structures
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 | Antibiotic Resistance | Bioinformatics | Deep Learning | Infectious Diseases | News | Paper Summary | Tools | Trending

Penn Researchers Use Deep Learning to Design Multimodal Antibiotics for Combating Intracellular Infections
ByAnchal Negi January 18, 2025October 22, 2026

The rise of antimicrobial resistance has made treating intracellular infections a significant challenge, as conventional antibiotics often fail to neutralize pathogens hidden within human cells. To address this, researchers from the University of Pennsylvania introduced APEXDUO, an advanced AI model designed to generate peptides with both cell-penetrating and antimicrobial properties. From a vast library of…

Read More Penn Researchers Use Deep Learning to Design Multimodal Antibiotics for Combating Intracellular Infections
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 | Drug Discovery | News | Paper Summary | Tools | Trending

Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation
ByDeotima Chakraborty January 15, 2025October 22, 2026

Cellarity, Inc., and NVIDIA have unveiled MOLRL (Molecule Optimization with Latent Reinforcement Learning), a groundbreaking framework for molecular optimization. This approach leverages the latent spaces of pre-trained generative models and employs Proximal Policy Optimization (PPO), a cutting-edge reinforcement learning (RL) algorithm. PPO is particularly effective in high-dimensional, continuous domains, enabling a balanced trade-off between exploration…

Read More Revolutionizing Drug Discovery: MOLRL Combines Reinforcement Learning and Generative Models for Targeted Molecular Generation
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 | News | Paper Summary | PLM | Proteomics | Tools | Trending

How Evolla is Deciphering the Molecular Language of Proteins with an 80 Billion Parameter Generative Model
ByDeotima Chakraborty January 14, 2025October 22, 2026

The complex molecular machinery that make up nature, proteins have evolved over billions of years and are essential to the continuation of life. However, a fundamental problem in contemporary biology is still interpreting their molecular language or comprehending how protein shapes and sequences encode and dictate biological functions. Here, scientists from Westlake University and Nankai…

Read More How Evolla is Deciphering the Molecular Language of Proteins with an 80 Billion Parameter Generative Model
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
AI | Antibiotic Resistance | Bioinformatics | Foundation Model | Infectious Diseases | Metagenomics | News | Paper Summary | Trending

USC Researchers Unveil METAGENE-1: Advancing Pathogen Detection and Pandemic Monitoring
ByAnchal Negi January 11, 2025October 22, 2026

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 the University of Southern California, Prime Intellect, and the Nucleic Acid Observatory have unveiled METAGENE-1, a state-of-the-art metagenomic foundation model designed to transform public health monitoring and pathogen detection. This innovative…

Read More USC Researchers Unveil METAGENE-1: Advancing Pathogen Detection and Pandemic Monitoring
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

Cookie	Duration	Description
cookielawinfo-checkbox-analytics	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Analytics".
cookielawinfo-checkbox-functional	11 months	The cookie is set by GDPR cookie consent to record the user consent for the cookies in the category "Functional".
cookielawinfo-checkbox-necessary	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookies is used to store the user consent for the cookies in the category "Necessary".
cookielawinfo-checkbox-others	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Other.
cookielawinfo-checkbox-performance	11 months	This cookie is set by GDPR Cookie Consent plugin. The cookie is used to store the user consent for the cookies in the category "Performance".
viewed_cookie_policy	11 months	The cookie is set by the GDPR Cookie Consent plugin and is used to store whether or not user has consented to the use of cookies. It does not store any personal data.

AI

Unlocking Cellular Mysteries with CellReasoner: A New AI Tool for Biologists

Minimal Data, Maximal Impact: The Future of Peptide Design with MDMI

Can Machine Learning Finally Crack the Protein Expression Code?

RNA-BAnG: A Deep Learning Breakthrough for Designing Protein-Binding RNA Sequences

NuFold: A Revolutionary Leap in RNA Tertiary Structure Prediction

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

Training

Services

Resources

Company