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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 Intracellular Infections

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 with Next-Generation Protein Sequencing

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 Targeted Molecular Generation

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 Drug Discovery

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 80 Billion Parameter Generative Model

The complex molecular machinery that make up nature, proteins have evolved over billions of years and are essential to the continuation of life. However,...

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...

University of Washington Researchers Revolutionize Beta-Barrel and Transmembrane Nanopore Design Using Deep Learning Tools

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....

10 Days Hands-on Skill Development Training Program on R for Bioinformatics – 16 Jan to 29 Jan 2025

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 and Drug Discovery

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 Virus?

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...

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Enhancing Drug Discovery with NRGSuite-Qt: A PyMOL Plugin for Virtual Screening and Docking

Enhancing Drug Discovery with NRGSuite-Qt: A PyMOL Plugin for Virtual Screening and Docking

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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

Visualizing Omics Data Made Easy with DataColor’s 600+ Parameters

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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

From Complexity to Simplicity: BATCHIE’s Role in Uncovering Cancer Drug Synergies

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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 Protein Structures

IRB Barcelona Unveils Oncodrive3D to Identify Cancer Driver Genes Using 3D Protein Structures

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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

Top 30 Python Libraries Used in Bioinformatics

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Bioinformatics sits at the fascinating intersection of biology, computer science, and data analysis, with Python as a powerful language that drives groundbreaking research and...