Thursday, June 1, 2023

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AI-Driven Antibiotic Discovery: A Breakthrough in Combating Drug-Resistant Infections

A groundbreaking study conducted by scientists from MIT and McMaster University has unveiled a revolutionary artificial intelligence-based antibiotic that effectively eliminates a specific strain...

Empowering Scientists with MISATO: a Machine Learning Dataset for Structure-based Drug Discovery

Artificial intelligence (AI) has significantly changed the scientific research landscape in recent years, yet structure-based drug development has not been significantly affected. However, a...

Decoding the DNA Repair Network: Insights from a Novel Multi-scale DNA Damage Response Assemblies Map

A team of UCSF, UCSD, and Brown University scientists has produced a multi-scale map of protein assemblies pertaining to damage response. The DNA Damage...

AlphaFold’s Impact on Drug Discovery: A Closer Look at How Accurately It Predicts Drug Binding Modes

In recent years, significant advancements in machine learning, particularly AlphaFold 2 (AF2), have revolutionized protein structure prediction. These breakthroughs have generated excitement in the...

Meet IRIS: The Innovative Computational Tool for Identifying De Novo Cancer Immunotherapy Targets from pre-mRNA Alternative Splicing 

Scientists from CHOP, Philadelphia, and UCLA have developed an integrated computational workflow to discover novel cancer immunotherapy targets from pre-mRNA alternative splicing (AS). The...

Meet Genomics to Notebook (g2nb): A Comprehensive Notebook Solution to Tackle Challenges in Bioinformatics Analysis

Genomics to Notebook (g2nb) is a new environment that combines the popular JupyterLab notebook system with well-established bioinformatics platforms to provide a seamless and...

Unleashing the Potential of AI: Breakthroughs in Gene Activation Research and Unveiling Rare DNA Sequences

Artificial intelligence nowadays dominates our news feeds, capturing public interest as ChatGPT and similar AI advancements take center stage. Biologists are actively investigating novel...

Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies

A consortium of scientists from across the globe has undertaken a massive computational effort to produce predictive models on the effect of phosphorothioate (PS)...

Enhancing Mortality Risk Prediction in Cardiac Surgery: The Impact of Machine Learning Models

Mount Sinai researchers have developed a machine learning algorithm that allows healthcare facilities to forecast the chance of death for specific patients undergoing cardiac...

Fast and Accurate Imaging of Proteins in Cells with TomoTwin: A Novel AI-based Software

Scientists from the Max Planck Institute of Molecular Physiology, Germany, have developed a method, TomoTwin, an open-source general picking model for cryogenic-electron tomograms. The...

A New Era of Healthcare: Discover the Potential of Smartwatches in Chronic Disease Prevention

The University of Queensland researchers have developed a comprehensive plan outlining the integration of smartwatches into Australia's healthcare system. However, the researchers agree that...

Meet Foldseek: A High-Performance Deep Learning Approach for Fast and Accurate Protein Structure Search

Scientists from Seoul National University, South Korea, and the Max Planck Institute for Multidisciplinary Sciences, Germany, have developed a deep learning-based method called Foldseek,...

Jumping Genes Could Transform Cancer Treatment with Innovative Immunotherapies

The genetic mechanisms underlying cancer have been the focus of research by scientists and medical professionals worldwide. The human genome has undergone random insertions...

AI-Driven 3D Modeling Sheds Light on ‘Postal Workers’ within Human Cells

Artificial intelligence (AI) and cellular biology have combined to change several sectors, including the mapping and monitoring of cellular activity within the human body,...

Machine Learning-aided Auditory Categorization Model Decodes How Brains Recognize Communication Sounds

Neuroscientists from the University of Pittsburgh extend a previously developed hierarchical model of auditory categorization by including several adaptive neural mechanisms that aid auditory...

Meet Trumpet: The Biocomputing Platform Set to Transform Medicine

The emerging field of biocomputing holds immense promise for transforming both the realms of computing and medicine. With its potential applications ranging from early...

Improving Protein Binder Design: A Tenfold Leap with Deep Learning

Scientists from the University of Washington, USA, studied how deep learning boosts and improves de novo protein binder design and devised a protocol for...

Google Unveils REMEDIS: A Self-Supervised Learning Approach for Robust and Enhanced Medical Imaging

Recent achievements in the field of artificial intelligence (AI) have helped to develop effective medical imaging frameworks that can achieve professional clinical expertise. However,...

Transcriptome-Wide Prediction of Chemical Messenger RNA Modifications: A Novel Approach Using Machine Learning

Machine learning-based methods have played a significant role in detecting RNA modifications. The advent of new high-throughput experimental and computational techniques has propelled the...

Discover How Single-cell RNA Sequencing is Transforming the Drug Discovery and Development Landscape

The primary objective of modern proteomics studies is to analyze and isolate the proteome of individual cells from a pool of similar cells. Existing...

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Meet MDASAE: A Novel Microbe-Drug Association Prediction Model

Meet MDASAE: A Novel Microbe-Drug Association Prediction Model

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Scientists from the Hengyang Normal University, China, designed a stacked autoencoder (SAE) with a multi-head attention mechanism-based microbe drug association prediction model named MDASAE....
Repurposing 'Failed' Antibiotics: A Promising Approach for Herbicide Development

Repurposing ‘Failed’ Antibiotics: A Promising Approach for Herbicide Development

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Resilient weeds, impervious to herbicides, present a grave danger to both the environment and the agricultural sector. The pressing demand for fresh herbicides, armed...
Transforming Natural Product Identification Through Deep Self-Supervised Learning Language Models

Transforming Natural Product Identification through Deep Self-Supervised Learning Language Models

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Scientists from the Microsoft Research Lab, Cambridge, have designed a Self-Supervised Neural Network Masked Language Model named BiGCARP to accelerate the identification and classification...
Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite

Accelerating Genomic Analysis with GPUs: Meet the Genomics-GPU Benchmark Suite

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Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of...
Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial Properties

Harnessing Machine Learning to Expedite the Search for Plants with Antimalarial Properties

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Malaria, a parasitic disease transmitted by mosquitoes, poses a grave global health menace. With countless annual cases and the escalating defiance of traditional antimalarial...