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A New Roadmap for Precision Medicine: Overcoming Challenges with Post-Genomic Data

Anchal Negi - 0
Advancements in precision medicine have long promised a future where treatments are tailored to individual genetic profiles. However, despite significant progress in genomics, the...
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AI

Lyra: A Revolutionary AI Model for Biological Sequence Modeling

Anchal Negi - 0
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...
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Bioinformatics

How LUC7 Protein Family Members Differentially Regulate mRNA Splicing in Cancer

Deotima Chakraborty - 0
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....
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AI

UNC Researchers Unveil DELi, a Powerful Open-Source Tool for DNA-Encoded Library Informatics

Anchal Negi - 0
The entire process of drug discovery costs more than a billion dollars and takes over a decade to complete. This is an expensive and...
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AI

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

Deotima Chakraborty - 0
One of the most significant challenges in computational and experimental biology is creating RNA molecules that interact with particular proteins. The practical use of...
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Bioinformatics

EasyMetagenome: A Simple Yet Powerful Pipeline for Shotgun Metagenomic Analysis in Microbiome Research

Anchal Negi - 0
Shotgun metagenomics has revolutionized microbiome research, allowing scientists to study microbial communities at an unprecedented depth. However, analyzing the massive amounts of sequencing data...
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AI

Democratizing Cancer Omics: How DrBioRight 2.0 Simplifies Complex Data Analysis

Deotima Chakraborty - 0
Functional proteomics makes the identification of new biomarkers and treatment targets easier by offering vital insights into cancer mechanisms. By combining information from over...
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AI

Sakana AI, MIT, and OpenAI Introduce Automated Search for Artificial Life (ASAL), a Leap Forward in Artificial Life Discovery

Anchal Negi - 0
Artificial Life (ALife) has fascinated researchers for years, offering insights into the principles of life, intelligence, and evolution. In a pioneering study, Sakana AI,...
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AI

Microsoft’s BioEmu-1: A Game Changer for Protein Dynamics and Drug Discovery

Deotima Chakraborty - 0
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...
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Bioinformatics

Revolutionizing Health Research: University of Galway Unveils World’s Largest Digital Microbe Collection

Deotima Chakraborty - 0
The simulation of diet-host-microbiome-disease relationships is made possible by genome-scale modeling of microbiome metabolism. However, the extent of available genome-scale reconstruction resources is constrained...
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AI

NVIDIA BioNeMo Launches Evo 2: A Massive AI Foundation Model for Biomolecular Research Across Species

Anchal Negi - 0
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...
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AI

Fighting Superbugs with Smart Design: AI-Generated Antimicrobial Peptides Show Promise

Anchal Negi - 0
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...
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AI

Google Launches AI Co-Scientist: A Virtual Partner for Smarter and Faster Research Powered by Gemini 2.0

Deotima Chakraborty - 0
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...
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AI

MIT’s ChromoGen: A Diffusion Model for DNA Sequence to 3D Structure Prediction in Minutes

Deotima Chakraborty - 0
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...
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AI

GenomeOcean: A 4B-Parameter Genome Foundation Model Advancing Metagenomics, Drug Discovery, and Synthetic Biology

Anchal Negi - 0
The field of bioinformatics is witnessing a major transformation with the development of genome foundation models. In a recent study conducted by researchers from...
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AI

How Directed Evolution and Machine Learning Enhance Genotype to Phenotype Mapping

Deotima Chakraborty - 0
It is essential to connect sequence variation to phenotypic effects to effectively utilize huge genomic datasets. Here, researchers describe a unique method for characterizing...
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AI

How Proteins Know Where to Go: MIT’s ProtGPS Predicts Protein Localization with High Accuracy

Anchal Negi - 0
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...
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Big Data

doubletrouble: A Comprehensive R Package for Gene Duplication Detection and Classification

Deotima Chakraborty - 0
A major factor in evolution, genome duplications have different effects on the expression, function, and regulation of genes. However, multiple duplication modes make it...
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AI

dnaSORA: The AI Model Making Human Genome Reading as Simple as Point Clouds

Anchal Negi - 0
Understanding the human genome is often compared to deciphering an ancient, complex language with three billion characters. While AI has made great strides in...
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AI

Automating Complex Bioinformatics Tasks with BioMaster’s AI-Driven Framework

Anchal Negi - 0
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...
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Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design

Fast, Accurate, and Flexible: How FLOWR is Transforming Molecular Design

Anchal Negi - 0
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...
Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Designer Miniproteins: New Frontier in GPCR-Targeted Drug Development

Deotima Chakraborty - 0
G protein-coupled receptors (GPCRs) are essential membrane proteins with dynamic conformations that are also major targets for drug development and discovery. However, designing protein...
Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Meet AgentRxiv: A Collaborative Framework for AI Research Agents to Accelerate Discovery

Deotima Chakraborty - 0
Hundreds of scientists come together through collaborative efforts to accomplish a shared goal during scientific discovery processes. Current workflows generate research independently, yet they...
MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

MolAI: The Deep Learning Model Transforming Molecular Descriptor Generation

Anchal Negi - 0
Recent years have witnessed significant advancements in the fields of artificial intelligence (AI) and machine learning (ML), catalyzing a revolution in cheminformatics and drug...
Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Dyna-1: Unraveling Protein Dynamics with Deep Learning and NMR Data

Deotima Chakraborty - 0
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...

CBIRT provides short term training in bioinformatics for students/researchers/life science graduates, etc. The program aims at providing rigourous training required to excel in current dynamic scientific research environment. For more details

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