RNA

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How LUC7 Protein Family Members Differentially Regulate mRNA Splicing in Cancer
ByDeotima Chakraborty March 27, 2025October 22, 2026

Myeloid neoplasms are linked to mutations or deletions of the U1 snRNP-associated factor LUC7L2, and cellular metabolism is changed when LUC7L2 is knocked down. Here, researchers from MIT demonstrate that members of the LUC7 protein family widely influence mRNA splicing in leukemias with LUC7L2 copy number variation as well as human cell lines, and they…

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AI | Bioinformatics | LLM | News | PLM | RNA | Tools | Trending

Unlocking the Secrets of RNA: How RNA-GPT is Transforming the Way We Explore and Understand RNA
ByDeotima Chakraborty November 26, 2024October 22, 2026

RNAs are crucial molecules that convey genetic information necessary for life, and they have a big impact on biotechnology and medicine development. However, the large body of literature frequently slows down RNA research. To overcome this, scientists from the University of California and Georgia Institute of Technology present RNA-GPT, a multi-modal RNA chat model that…

Read More Unlocking the Secrets of RNA: How RNA-GPT is Transforming the Way We Explore and Understand RNA
Bioinformatics | News | Paper Summary | RNA | Structural Biology | Trending

Decoding RNA-Protein Interactions: Harnessing Computational Tools for Advanced Predictions without High-Throughput Data
ByNeermita Bhattacharya July 8, 2024October 22, 2026

The Central Dogma of Biology describes the process of DNA (Deoxyribonucleic acid) undergoing transcription to form RNA (Ribonucleic acid) and transformation to form proteins finally. However, the interactions between proteins and RNA are also crucial in the optimal operation of various processes in organisms. Improving computational prediction of RNA-protein interactions (RPIs) is important for advancing…

Read More Decoding RNA-Protein Interactions: Harnessing Computational Tools for Advanced Predictions without High-Throughput Data
AI | Algorithm | Bioinformatics | Drug Discovery | News | Paper Summary | RNA | Structural Biology | Tools | Trending

RNAfold: Leveraging Variational Autoencoders for Accurate RNA Tertiary Structure Prediction
ByAnshika Gupta June 26, 2024October 22, 2026

In drug development, the accurate prediction of RNA structures plays a pivotal role. Leveraging the power of machine learning, particularly Variational Autoencoders (VAEs), has emerged as a game-changer in this domain. Recent advancements by Quantori LLC, Cambridge, USA researchers have showcased the superiority of VAE models in RNA folding, surpassing traditional methods with remarkable precision….

Read More RNAfold: Leveraging Variational Autoencoders for Accurate RNA Tertiary Structure Prediction
Bioinformatics | Data Analysis | Gene Expression | News | Paper Summary | RNA-Seq | Tools | Transcriptomics | Trending

MultiRNAflow: A Comprehensive Tool for Temporal RNA-seq Data Analysis in Multiple Biological Conditions
ByDeotima Chakraborty June 7, 2024October 22, 2026

RNA sequencing is currently a useful tool for studying the dynamic transcriptional mechanisms that control the operation of eukaryotic cells. Nevertheless, complicated experimental designs with various biological variables and multiple analysis time points cannot be automatically analyzed by the tools that are currently on the market for the analysis of raw sequencing data. Multiple programs…

Read More MultiRNAflow: A Comprehensive Tool for Temporal RNA-seq Data Analysis in Multiple Biological Conditions
AMR Alert | Antibiotic Resistance | Biotech | Drug Discovery | Infectious Diseases | Medical Informatics | News | Paper Summary | Trending

Outsmarting the Malaria Parasite: SMART Researchers Decode the Mystery of Drug Resistance Mechanism
ByAnshika Gupta June 4, 2024October 22, 2026

Artemisinin, which is used as a cure for malaria, has remained an effective drug in managing the disease over the years. However, the recent activity arising from Plasmodium falciparum resistant to artemisinin, an important vital compound used in malaria treatment, is one of the most significant challenges threatening global health. Recent research published in Nature…

Read More Outsmarting the Malaria Parasite: SMART Researchers Decode the Mystery of Drug Resistance Mechanism
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 | Bioengineering | Bioinformatics | Deep Learning | LLM | News | Paper Summary | Trending

UC Berkeley’s Breakthrough RNA Language Models Predict Mutations that Enhance RNA Function
ByAnchal Negi April 15, 2024October 22, 2026

A new tool from UC Berkeley can predict mutations that can improve the way how RNA works. By leveraging hyperthermophilic RNAs, the researchers identified mutations conferring increased thermostability to E. coli ribosomes, providing a foundation to understand RNA sequence-structure-function relationships. Introduction Do you remember what DNA is? It’s that molecule that contains all the information…

Read More UC Berkeley’s Breakthrough RNA Language Models Predict Mutations that Enhance RNA Function
AI | Bioinformatics | LLM | News | Paper Summary | Structural Biology | Trending

Unveiling the Potential of RiNALMo: Advancing RNA Structure Prediction with General-Purpose RNA Language Models
ByDeotima Chakraborty March 8, 2024October 22, 2026

Numerous fundamental functions of ribonucleic acid (RNA) are involved in basic biological processes. It is imperative that we deepen our comprehension of the structures and activities of RNA, as it has emerged as an intriguing target for pharmaceuticals in recent times. Sequencing technologies have yielded vast amounts of unlabeled RNA data throughout the years, concealing…

Read More Unveiling the Potential of RiNALMo: Advancing RNA Structure Prediction with General-Purpose RNA Language Models
AI | Bioinformatics | Biotech | Genetic Engineering | LLM | News | Trending

Unlocking the Potential of RNA Design with Generative AI using GenerRNA
ByDr. Tamanna Anwar February 14, 2024October 22, 2026

A team of researchers from the University of Tokyo developed GenerRNA, the first large-scale pre-trained AI model for automated RNA design that does not require prior structural knowledge. Inspired by advances in protein language models, GenerRNA can generate a variety of RNAs for applications such as vaccines, therapeutics, and biotechnology. This model can generate new…

Read More Unlocking the Potential of RNA Design with Generative AI using GenerRNA
AI | Bioinformatics | Database | Deep Learning | News | Structural Biology | Trending

Revolutionize RNA Structure Prediction with RNA3DB: The Pinnacle Dataset for Training Deep Learning Models
ByDr. Tamanna Anwar February 6, 2024October 22, 2026

Harvard University researchers introduce RNA3DB, a dataset crafted from the Protein Data Bank (PDB), addressing challenges in RNA structure prediction. In response to limitations in existing literature and recent findings in CASP15, RNA3DB offers a non-redundant dataset for training and benchmarking deep learning models. With the success of deep learning in protein structure prediction, there…

Read More Revolutionize RNA Structure Prediction with RNA3DB: The Pinnacle Dataset for Training Deep Learning Models
AI | Bioinformatics | Genomics | GWAS | LLM | News | NGS | Paper Summary | Precision Medicine | RNA-Seq | Tools | Trending

Alignment-Based DNA Language Models: The GPN-MSA Approach Enables Accurate Genome-wide Variant Effect Prediction
BySonal Keni October 29, 2023October 28, 2023

In the dynamic landscape of biology, researchers around the world aim to unlock the secrets held in the genetic code. With the introduction of whole genome sequencing, a new world was opened to science: one where genetic blueprints could be unraveled and studied with ease. Recently, the impact of genome-wide variants on human pathophysiology has…

Read More Alignment-Based DNA Language Models: The GPN-MSA Approach Enables Accurate Genome-wide Variant Effect Prediction
AI | Bioinformatics | Drug Discovery | News | Paper Summary | Structural Biology | Trending

Achieving RNA’s AlphaFold Moment: How Close Are We?
BySwasti Tyagi September 26, 2023February 6, 2024

AlphaFold’s breakthrough in solving the protein structure prediction problem has ignited enthusiasm to apply similar methods to predict the 3D structures of RNAs. However, achieving this feat presents significant challenges. A review paper titled ‘When will RNA get its AlphaFold moment?’ recently published in Nucleic Acids Research, discusses, in-depth, the various challenges faced by scientists over the…

Read More Achieving RNA’s AlphaFold Moment: How Close Are We?
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

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