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New Study Shows Pan-variant mRNA-LNP T Cell Vaccine Proves Effective Against SARS-CoV-2 Beta

Current COVID-19 vaccines induce neutralizing antibodies that can inhibit viral entry, but their efficiency decreases when new variations arise. On the basis of short...

Bridging the Gap between Cheminformatics and Machine Learning to Investigate Androgen Receptor Antagonists in the Fight Against Prostate Cancer

Researchers from Thailand perform a systematic cheminformatics analysis and machine learning modeling to study how human Androgen Receptors (AR) antagonists combat Prostate cancer, one...

AI-Powered Structural Proteomics Unveils New Insights into Protein Complexes in Cells

Molecular biology is being revolutionized by the application of artificial intelligence to simulate the structures of proteins and their complexes. Researchers utilized a combination...

Scientists Introduce “MZmine3” for Processing Big Data to Identify Hidden Chemicals in Complex Mixtures

Scientists from Prague have developed MZmine3, a scalable platform for the analysis of mass spectrometry (MS) data from different instrumental setups. The platform supports...

Predicting Drug-target Interactions using Protein Features and Wrapper Feature Selection

The prediction of drug-target interactions (DTI) plays a significant role in drug development by helping in the identification of new drug targets, the repurposing...

Transformers in Action: Deep Learning Aided Cardiac Patient Mortality Risk Prediction using Electronic Health Records

Scientists from Finland have studied and explored two transformers (deep learning models), BERT and XLNet, in the context of predicting 6-month mortality in cardiac...

Insight into Structural Features of Hepatitis E: Princeton Researchers Discover New Path for Treatment

Scientists from Princeton University have developed a comprehensive model of the structure and function of the open reading frame (ORF) 1 of Hepatitis E...

NeuronChat Sheds Light on Neuron-Neuron Communication in the Brain through Single-cell Transcriptomics Analysis

Scientists from the University of California, Irvine, have developed NeuronChat for inferring inter-neuronal communication using single-cell transcriptomics data. Previous cell-cell communication inference methods are...

From Cell Cultures to Intelligent Systems: “Organoid Intelligence” is the New Energy-efficient Biocomputing Alternative to Artificial Intelligence

Scientists from Johns Hopkins University lay out the possibility of energy-efficient biocomputing using brain organoids (3D brain cell cultures) that surpass in-silico computing capabilities. The recent...

Improving the Accuracy of RNA-protein Complex Structure Prediction with DRPScore: A Deep Learning Algorithm

Scientists have developed a new deep-learning-based approach called DRPScore for identifying native-like RNA-protein complexes essential for understanding cellular processes. DRPScore outperforms existing methods in...

Repurposing Drugs Simplified with ASGARD: A Single-cell Guided Pipeline

Scientists from the University of Michigan have developed a single-cell guided pipeline to aid the repurposing of drugs (ASGARD) by defining a drug score...

Designing High-Activity Luciferases with Deep Learning: A Promising Approach for Enzyme Design

For many years, scientists have been baffled by the difficult task of designing enzymes, which is regarded as one of the most difficult challenges...

LongBondEliminator: A Novel Approach to Streamlining Molecular Dynamics Simulations

Scientists from Michigan State University have introduced the LongBondEliminator, a tool designed to detect and correct ring penetrations in molecular simulations. Ring penetrations is...

Meet DeepBIO: An Automated Deep Learning Platform for High-Throughput Functional Analysis of Biological Sequences

Scientists from China have developed DeepBIO, an automated and interpretable deep learning platform for high-throughput biological sequence functional analysis. The first-of-its-kind platform enables researchers...

NHGRI’s Verkko Algorithm: An Advancement in Genome Assembly with Notable Limitations

Substantial progress has been made in assembling the first complete human genome sequence by the Telomere-to-Telomere consortium. However, complex repetitions in diploid genomes are...

Single-Cell RNA Sequencing: State-of-the-Art Technology and Future Prospects

Single-cell RNA sequencing (scRNA-seq) has proved to be a powerful tool for deciphering the entire repertoire of transcripts in a single cell. Traditional sequencing...

Big Data Analytics Reveals New Causal Pathways in Alzheimer’s Disease

King's College London scientists examined biological samples from hundreds of participants in a European study. The researchers studied the biological data at different stages,...

Whole-Genome Population Genomics Made Easy with “PRAWNS”: A Comprehensive Tool for Multiple-genome Analysis

Scientists from the University of Maryland have developed PRAWNS, a scalable and efficient tool for multi-genome analysis. With the unprecedented number of complete and...

From healthy cell to cancerous growth: the alarming role of “poisoned” proteins in tumor formation

Researchers from Scripps Research and Japan have discovered how a protein's "poisoned" form can set off a chain of events promoting specific cancers' growth....

Meet MinsePIE: A ML Tool to Predict Successful Insertion of Gene-edited DNA Sequences in the Genome of a Cell

Scientists from the Wellcome Sanger Institute, Hinxton, UK, and the University of Tartu, Estonia, have developed a machine learning-based algorithm, MinsePIE, to predict prime...

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Exploring the Potential of DALL-E 2 for AI-Driven Image Generation in Radiology

Exploring the Potential of DALL-E 2 for AI-driven Image Generation in Radiology

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In the field of radiology, generative models, notably DALL-E 2, have tremendous promise for image production and modification. Scientists have shown that DALL-E 2...
Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes

The Future of Cancer Care: Explainable AI Detects Diagnostic Cells of Genetic AML Subtypes

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Scientists from Germany have developed SCEMILA, an inherently explainable AI tool for identifying diagnostic cells of acute myeloid leukemia (AML) subtypes. The authors find...
PAthreader: A Powerful Tool for Remote Homologs Recognition and Protein Folding Pathway Prediction

Meet PAthreader: A Powerful Tool for Protein Structure and Folding Pathway Prediction using Remote...

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Scientists from the Zhejiang University of Technology, China, have proposed a new method, PAthreader, to improve the recognition accuracy of remote homologous structures by...
New Study Reveals Gene Mutation that Controls Pain Sensitivity

New Study Reveals Gene Mutation that Controls Pain Sensitivity

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The experience of pain is complicated, subjective, and unique to each person. While some people have a high pain tolerance, others may regard even...
Breaking the Limits of Protein Detection: The Role of Machine Learning

Pushing the Limits of Protein Detection: The Role of Machine Learning

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The detection of biomolecules at the nanoscale is of great significance in fundamental biology research, just as it is for biomedical investigations. The evolution...