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Unlocking Cell Biology with AI: How Large Language Models Comprehend the Complexity of Genes and Cells

Picture a world where computers can not only translate languages but also decipher biology’s convoluted language. This is the exciting frontier of Large Language...

Unveiling VarChat: A Leap Forward in Genomic Variation Interpretation

Research on genomes is booming in the scientific community, and this is translating into an explosion of published results. Genetic experts and researchers now...

Can AI Agents Become the Next Big Breakthrough in Biomedical Research?

Imagine a world where scientific breakthroughs are not just solitary genius work but a collaboration between humans and a new breed of partners- AI...

Breakthrough in Protein Design: MIT Researchers Develop Computational Approach for Easier Protein Engineering

Modeling the combinatorially huge number of sequences is not practical since previous approaches frequently restrict optimization to a narrow mutational radius, restricting the design...

Streamlining Bacterial Epigenomics: Bacmethy, One-Stop Tool for Bacterial DNA Methylation and Gene Regulation

DNA has been a holy grail as it is believed to contain all the intricate instructions that build and run an organism. However, scientists...

Meet MolProphet: A One-Stop AI Platform for the Early Stages of Drug Discovery

Are you aware that plenty of operational AI applications have emerged in the early stages of small-molecule drug discovery? Do you recognize that those...

Can AI Help Us Discover New Drugs Faster? Unveiling MegaKG, the Explainable Knowledge Graph

Drug discovery has traditionally been a tedious and difficult process characterized by sifting through large amounts of data, which may be about to get...

Exploring BioMedLM – 2.7 Billion Parameter GPT-style Autoregressive Model: A Breakthrough in Biomedical Language Modeling

A new NLP model called BioMedLM from the researchers of Stanford University and DataBricks seeks to rival models like Med-PaLM 2, which performs admirably...

Bridging Gaps in Structure-Based Drug Design: The MolSnapper’s Breakthrough Conditioning Diffusion Approach

The synergy among the Nuffield Department of Medicine and the Department of Statistics at the University of Oxford represents a blend of medical expertise...

Exploring Medicine’s Future with KnowDDI: How Knowledge Subgraph Learning Improves Drug-Drug Interaction Prediction

Have you ever wondered what happens when you take multiple medications? Although each drug is intended to address a particular condition, there are instances...

A New Weapon in the Public Health Arsenal: VaccineDesigner Simplifies Epitope-based Vaccine Design

A ground-breaking solution in modern-day continuously advancing healthcare internationally is developing waves in vaccine improvement. Developed by brilliant minds at the School of Medicine,...

Meet PiMine: A Database-Driven Approach for Protein-Protein Interface Similarity Detection

Researchers at Universität Hamburg introduced PiMine, an application that senses structurally related protein-protein interfaces while being driven by a database. PiMine analyzes these interfaces,...

Brown University’s Subsampled AlphaFold2 Approach for Predicting Protein Dynamics: A Game-changer for Drug Discovery?

Proteins are life's molecular workhorses and play crucial roles in every biological process. Understandably, their complex shapes, also known as conformations, are the key...

Unlocking New Drug Targets: Researchers Develop Computational Method to Target Proteins Inside Cell Membranes

Can you imagine that you can design proteins that have a particular function, and they are like small robots working inside our cells? This...

Revolutionizing Cell Type Annotation: GPT-4’s Breakthrough in scRNA-seq Analysis

Single-cell RNA sequencing (scRNA-seq), a rapidly developing field of RNA sequencing of single cells, has recently made a breakthrough that could revolutionize cell type...

AI vs. Superbugs: A New Generative AI Model ‘SyntheMol’ Designs Powerful Antibiotics to Fight Resistant Bacteria

AI is being used to find novel antibiotics for bacteria resistant to pandemics; however, the currently used techniques have serious drawbacks. While generative models...

A New Era in Enzyme Design: How NeuroFold Integrates Multimodal Data for Enzyme Variants Generation

The main obstacle in protein engineering is the lack of diversity in training data, which makes it difficult to create high-performance enzyme variations with...

Creating Antibodies from Scratch: Scientists Design Single-Domain Antibodies with Atomic Precision Using AI

The inability to logically design new antibodies that bind a particular epitope on a target persists despite the crucial role that antibodies play in...

Unveiling MetagenomicKG: A Pioneering Knowledge Graph for Metagenomics Exploration

In the vast and intricate realm of metagenomics, where microbial communities unveil a wealth of biomedical knowledge, a groundbreaking development has emerged. Scientists from...

Deciphering Ligand-Receptor Signaling Dynamics at Cellular Resolution with CytoSignal: A Breakthrough in Spatial Transcriptomics

A thorough understanding of the cellular connections inside these tissues is being made possible by technologies that use spatial transcriptomic approaches to revolutionize the...

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PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model Protein-Protein, Protein-Peptide, and Protein-Nucleic Acid Interactions

Unleash the Power of PPI3D: A Comprehensive Web Server to Explore, Analyze, and Model...

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Understanding molecular mechanisms requires an understanding of protein interactions with nucleic acids. Researchers can query preprocessed and clustered structural data, analyze the data, and...
Schematic of the GEMLI lineage prediction pipeline.

Untangling the Cellular Family Tree: GEMLI Estimates Lineage from scRNA-seq Data

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Researchers from the Institute of Bioengineering, Lausanne, Switzerland, introduce GEMLI, a powerful computational tool that enables robust identification of cell lineages solely from scRNA-seq...
Smart Sampling for Smarter Drugs: How Active Learning Boosts Drug Discovery

Smart Sampling for Smarter Drugs: How Active Learning Boosts Drug Discovery

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In computational drug discovery, active learning (AL) is a potent approach that makes it possible to identify the best binders from large chemical libraries....
RNA Language Models

UC Berkeley’s Breakthrough RNA Language Models Predict Mutations that Enhance RNA Function

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A new tool from UC Berkeley can predict mutations that can improve the way how RNA works. By leveraging hyperthermophilic RNAs, the researchers identified...
Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq Datasets

Supercharge Epigenomic Workflows with EAP: A Cloud-Based Platform for Comprehensive and Interactive Analysis of Large ChIP/ATAC-seq...

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The significance of comprehending gene expression regulation in tissue development is highlighted by the examination of disease progression through methods such as ChIP-seq and...