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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...

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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...

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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...

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

New Study Shows Pan-variant mRNA-LNP T Cell Vaccine Proves Effective Against...

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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

Bridging the Gap between Cheminformatics and Machine Learning to Investigate Androgen...

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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

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

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Molecular biology is being revolutionized by the application of artificial intelligence to simulate the structures of proteins and their complexes. Researchers utilized a combination...
MZmine3 for Processing Big Data to Identify Hidden Chemicals in Complex Mixtures

Scientists Introduce “MZmine3” for Processing Big Data to Identify Hidden Chemicals...

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Scientists from Prague have developed MZmine3, a scalable platform for the analysis of mass spectrometry (MS) data from different instrumental setups. The platform supports...
Drug–target interaction prediction based on protein features

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

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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...
Deep Learning Aided Cardiac Patient Mortality Risk Prediction using Electronic Health Records

Transformers in Action: Deep Learning Aided Cardiac Patient Mortality Risk Prediction...

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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: Structural prediction models of hepatitis E virus (HEV)

Insight into Structural Features of Hepatitis E: Princeton Researchers Discover New...

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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

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

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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...
Organoid Intelligence is the New Energy-efficient Biocomputing Alternative to Artificial Intelligence

From Cell Cultures to Intelligent Systems: “Organoid Intelligence” is the New...

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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 Prediction with DRPScore: A Deep Learning Algorithm

Improving the Accuracy of RNA-protein Complex Structure Prediction with DRPScore: A...

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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...
The workflow of the ASGARD drug repurposing pipeline using a single-cell RNA sequencing data

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

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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

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

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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

LongBondEliminator: A Novel Approach to Streamlining Molecular Dynamics Simulations

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Scientists from Michigan State University have introduced the LongBondEliminator, a tool designed to detect and correct ring penetrations in molecular simulations. Ring penetrations is...
DeepBIO: An Automated Deep Learning Platform for High-Throughput Functional Analysis of Biological Sequences

Meet DeepBIO: An Automated Deep Learning Platform for High-Throughput Functional Analysis...

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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

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

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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: State-of-the-Art Technology and Future Prospects

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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

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

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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

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

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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

From healthy cell to cancerous growth: the alarming role of “poisoned”...

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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....
MinsePIE: A Machine Learning Algorithm to Predict Successful Insertion of Gene-Edited DNA Sequences in the Genome of a Cell

Meet MinsePIE: A ML Tool to Predict Successful Insertion of Gene-edited...

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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...
Local Creek Holds Secret to Fighting Deadly Infections: Newly Discovered Virus Kills Resistant Bacteria

Local Creek Holds Secret to Fighting Deadly Infections: Newly Discovered Virus...

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Scientists from the University of Southern Denmark have made an interesting discovery that may help in the fight against antibiotic-resistant bacteria. The research team...
Unlocking the Mystery of Cancer Cell Movement: Logic Gates Provide Answers

Unlocking the Mystery of Cancer Cell Movement: Logic Gates Provide Answers

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Scientists from Purdue University unravel cell migration direction under the influence of environmental cues using a ternary logic gate system. Cells detect several environmental...
idpGAN: A New Era in Protein Conformational Ensemble Generation: The Role of Machine Learning

A New Era in Protein Conformational Ensemble Generation: The Role of...

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The biological activity of a protein is determined not only by its static, three-dimensional structure but also by its dynamic characteristics, which form a...
m6Anet: A Multiple Instance Learning based Neural Network Model for RNA Modification Prediction

Meet m6Anet: A Multiple Instance Learning based Neural Network Model for...

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Scientists from the Genome Institute of Singapore and A*STAR Singapore have developed a neural network-based method that implements a multi-instance learning framework, "m6Anet," to...
From Data to Diagnosis: Leveraging EHR Data to Identify Autism Within 30 Days using Machine Learning

From Data to Diagnosis: Leveraging EHR Data to Identify Autism within...

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Autism Spectrum Disorder (ASD), also known as autism, is a global health issue affecting millions of children worldwide. According to the World Health Organization...
AlphaFold Coupled with other AI Tools Accelerates the Drug Discovery Process

AlphaFold Teams up with Other AI Tools to Accelerate the Drug...

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Structure-based drug discovery (SBDD) is a standard method for identifying prospective medications for a target by leveraging its structural information. AlphaFold, a technique for...
Mystery of Unique Fingerprint Pattern Formation

Scientists Unlock the Mystery of Unique Fingerprint Pattern Formation

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Scientists from Edinburgh have solved the mystery behind the formation and variation in fingerprint patterns. Fingerprints are complex patterns, unique to every individual, and...
The Fight Against Tuberculosis Takes a Major Step Forward: Scientists Find Flaws in Bacterium by Studying Ferredoxins

The Fight Against Tuberculosis Takes a Major Step Forward: Scientists Find...

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Researchers from Skoltech, MIPT, the National Academy of Sciences of Belarus' Institute of Bioorganic Chemistry (IBOCH NAS), and the Russian Academy of Sciences' Institute...
Scientists Created a Pan-3D Genome of Soybean to Decipher Structural and Functional Differentiation

Scientists Created a Pan-3D Genome of Soybean to Decipher Structural and...

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Scientists from China have recently performed pan-3D genome analysis for soybean genomes to investigate the interplay among 3D genomic variations, structural variations (SV) as...
Speech Analysis Meets Artificial Intelligence: The Promise of Deep Learning for Depression Detection

Speech Analysis Meets Artificial Intelligence: The Promise of Deep Learning for...

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Scientists at Jinhua Advanced Research Institute and Harbin University of Science and Technology have developed a deep-learning algorithm that can identify depression through speech....
Overview of the protocol for design of peptide inhibitors of a target PPI

Generative Models for Peptide Design: Discovering Calcineurin Protein-protein Interactions Disruptors

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All organisms depend on protein-protein interactions (PPIs) for cellular and biological activities. This paper introduces a novel method for building peptide binders for "undruggable"...
Discovering the Origin of Antibiotic Resistance through DNA Replication Protein Structure Analysis

Discovering the Origin of Antibiotic Resistance through DNA Replication Protein Structure...

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Scientists from Barcelona have discovered a new hexameric protein structure for the RepB protein, which is involved in catalyzing replication initiation in Streptococcal plasmid...
POPDx overview: Rare Disease Prediction: Machine Learning Takes the Lead

The Future of Rare Disease Prediction: Machine Learning Takes the Lead

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The POPDx model does not require extensive patient datasets, which makes it potentially useful for patients with rare diseases. The POPDx framework was created to...
Overview of reconstructed drugs and annotated drug enzymes present in AGORA2

AGORA2: The Key to Personalized Medicine through Genome-wide Metabolic Reconstruction of...

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The digestive system is home to trillions of bacteria, which are very different in each person based on their gender, age, race, lifestyle, and...
In-depth Mapping of Protein Localizations in Whole Tissue using Micro-scaffold Assisted Spatial Proteomics (MASP)

In-depth Mapping of Protein Localizations in Whole Tissue Using Micro-scaffold Assisted Spatial...

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Researchers from the Jun Qu lab at SUNY Buffalo, New York, have developed a revolutionary method for in-depth mapping of protein localization in whole...
Nutrient that Cancer Cells Crave

New Hope in the Fight Against Cancer: Scientists Discover Nutrient that...

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Cancer is one of the prominent causes of death globally, and discovering new methods to prevent and cure it is important for public health....
Computational and experimental pipeline of RESP

Expediating the Discovery of Super Tight-Binding Antibodies with an AI Model...

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Scientists from UCSD have devised an efficient AI-based pipeline, RESP, for identifying high-affinity antibodies. Typically, researchers would employ directed evolution to enable iterative mutagenesis...
AlphaFill: An AI Algorithm that Implants Ligands and Cofactors in AlphaFold Models

Meet AlphaFill: An AI Algorithm to Fill Missing Ligands and Cofactors...

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According to Levinthal's paradox, each protein may adopt around 10300 distinct structures. We now know 3-D structures for about 98% of the human proteome...
DGNN-DDI: A Cutting-edge Tool for Drug-Drug Interaction Prediction using Dual Graph Neural Network

DGNN-DDI: A Cutting-edge Tool for Drug-Drug Interaction Prediction using Dual Graph...

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Scientists from Shaanxi Normal University, China, developed a novel Drug-Drug-Interactions (DDI) prediction tool that implements a dual graph neural network architecture to incorporate chemical...
Connection Between Immune Response & Persistent Smell Loss Post-COVID-19

New Study Finds Connection Between Immune Response & Persistent Smell Loss...

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Most SARS-CoV-2 patients experience anosmia, or a loss of smell, which can linger for months after recovery. According to olfactory epithelium samples taken from...
ZFDesign: A Universal Deep Learning Model for Zinc Finger Design Enabling Transcription Factor Reprogramming

Meet ZFDesign: A Universal Deep Learning Model for Zinc Finger Design...

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Controlling gene expression by engineering Cys2His2 zinc finger (ZF) domains to bind particular target sequences in the genome has many therapeutic applications. However, due...
A Tabular Machine Learning Approach to Pan-cancer Tumor-only Variant Calling

Machine Learning in Oncology: A Tabular Machine Learning Approach to Pan-cancer...

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Accurately identifying somatic mutations and differentiating them from germline variations is critical for precision oncology and precise tumor-mutational burden (TMB) computation. For this purpose,...
De novo protein generation with conditional language model ProGen

AI Proteins: Unlocking the Potential of Protein Generation from Scratch with...

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Scientists from the University of California, San Francisco, have created an inventive AI system that can create entirely new enzymes from scratch. Even though...
Navigating the choice of informatics software and tools for lipidomics research. Providing a Lipidomics Tools Guide on LIPID MAPS.

Luminary for Lipidomics Research Applications: Guiding the Choice of Informatics Software...

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There has been an increase in research in numerous areas of biology and medicine due to the development of mass spectrometry lipidomics. As a...
De Novo Drug Design Using Generative Deep Learning: The Role of Chemical Language Models with Molecular Structures and Bioactivity

De Novo Drug Design Using Generative Deep Learning: Implementing Chemical Language...

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Chemical language models (CLMs) can be used to construct molecules with desired features. Textual representations of novel chemical structures, such as simplified molecular input...

Must Read

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

0
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

0
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...

0
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

0
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

0
The detection of biomolecules at the nanoscale is of great significance in fundamental biology research, just as it is for biomedical investigations. The evolution...