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

Sejal Saxena - 0
Molecular biology is being revolutionized by the application of artificial intelligence to simulate the structures of proteins and their complexes. Researchers utilized a combination...
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Bioinformatics

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

Banhita Maitra - 2
Scientists from Prague have developed MZmine3, a scalable platform for the analysis of mass spectrometry (MS) data from different instrumental setups. The platform supports...
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Bioinformatics

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

Sejal Saxena - 0
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...
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AI

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

Banhita Maitra - 0
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...
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Bioinformatics

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

Sejal Saxena - 0
Scientists from Princeton University have developed a comprehensive model of the structure and function of the open reading frame (ORF) 1 of Hepatitis E...
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Bioinformatics

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

Banhita Maitra - 0
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...
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AI

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

Banhita Maitra - 0
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...
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Bioinformatics

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

Sejal Saxena - 0
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...
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Bioinformatics

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

Banhita Maitra - 0
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...
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Bioinformatics

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

Dr. Tamanna Anwar - 0
For many years, scientists have been baffled by the difficult task of designing enzymes, which is regarded as one of the most difficult challenges...
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Bioinformatics

LongBondEliminator: A Novel Approach to Streamlining Molecular Dynamics Simulations

Sejal Saxena - 0
Scientists from Michigan State University have introduced the LongBondEliminator, a tool designed to detect and correct ring penetrations in molecular simulations. Ring penetrations is...
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Bioinformatics

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

Banhita Maitra - 0
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...
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Algorithm

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

Sejal Saxena - 0
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...
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Bioinformatics

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

Banhita Maitra - 0
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...
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Big Data

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

Dr. Tamanna Anwar - 0
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,...
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Algorithm

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

Banhita Maitra - 0
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...
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Bioinformatics

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

Dr. Tamanna Anwar - 0
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....
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Bioinformatics

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

Banhita Maitra - 0
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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Antibiotic Resistance

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

Dr. Tamanna Anwar - 0
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...
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Bioinformatics

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

Banhita Maitra - 0
Scientists from Purdue University unravel cell migration direction under the influence of environmental cues using a ternary logic gate system. Cells detect several environmental...
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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...

Sejal Saxena - 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

Team CBIRT - 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

Banhita Maitra - 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...
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 SARS-CoV-2 Beta

Sejal Saxena - 0
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 Receptor Antagonists in...

Banhita Maitra - 0
Researchers from Thailand perform a systematic cheminformatics analysis and machine learning modeling to study how human Androgen Receptors (AR) antagonists combat Prostate cancer, one...

CBIRT provides short term training in bioinformatics for students/researchers/life science graduates, etc. The program aims at providing rigourous training required to excel in current dynamic scientific research environment. For more details

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