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Meet MDASAE: A Novel Microbe-Drug Association Prediction Model

Aditi Sarkar - 0
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....
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Bioinformatics

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

Dr. Tamanna Anwar - 0
Resilient weeds, impervious to herbicides, present a grave danger to both the environment and the agricultural sector. The pressing demand for fresh herbicides, armed...
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AI

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

Aditi Sarkar - 0
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...
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Bioinformatics

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

Dr. Tamanna Anwar - 1
Genomic analysis plays a vital role in various areas, such as disease detection, drug development, and genetic disease identification. With the exponential growth of...
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AI

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

Dr. Tamanna Anwar - 1
Malaria, a parasitic disease transmitted by mosquitoes, poses a grave global health menace. With countless annual cases and the escalating defiance of traditional antimalarial...
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AI

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

Dr. Tamanna Anwar - 1
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...
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AI

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

Dr. Tamanna Anwar - 0
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...
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Big Data

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

Banhita Maitra - 0
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...
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AI

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

Dr. Tamanna Anwar - 1
In recent years, significant advancements in machine learning, particularly AlphaFold 2 (AF2), have revolutionized protein structure prediction. These breakthroughs have generated excitement in the...
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Big Data

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

Banhita Maitra - 0
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...
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Big Data

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

Dr. Tamanna Anwar - 0
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...
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AI

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

Dr. Tamanna Anwar - 0
Artificial intelligence nowadays dominates our news feeds, capturing public interest as ChatGPT and similar AI advancements take center stage. Biologists are actively investigating novel...
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Bioinformatics

Simulation Tools Shape the Landscape of New Generation Gene Silencing Therapies

Banhita Maitra - 0
A consortium of scientists from across the globe has undertaken a massive computational effort to produce predictive models on the effect of phosphorothioate (PS)...
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Bioinformatics

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

Dr. Tamanna Anwar - 0
Mount Sinai researchers have developed a machine learning algorithm that allows healthcare facilities to forecast the chance of death for specific patients undergoing cardiac...
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AI

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

Banhita Maitra - 0
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...
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AI

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

Dr. Tamanna Anwar - 0
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...
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AI

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

Banhita Maitra - 0
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,...
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Bioinformatics

Jumping Genes Could Transform Cancer Treatment with Innovative Immunotherapies

Dr. Tamanna Anwar - 0
The genetic mechanisms underlying cancer have been the focus of research by scientists and medical professionals worldwide. The human genome has undergone random insertions...
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AI

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

Dr. Tamanna Anwar - 0
Artificial intelligence (AI) and cellular biology have combined to change several sectors, including the mapping and monitoring of cellular activity within the human body,...
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Bioinformatics

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

Banhita Maitra - 0
Neuroscientists from the University of Pittsburgh extend a previously developed hierarchical model of auditory categorization by including several adaptive neural mechanisms that aid auditory...
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Advancing Protein Subcellular and Suborganellar Localization Prediction and Visualization with MULocDeep

Advancing Protein Subcellular and Suborganellar Localization Prediction and Visualization with MULocDeep

Aditi Sarkar - 0
Researchers at the University of Missouri upgraded the MULocDeep web application by integrating animal, fungi, and plant species-specific models that meet competitive performance at...
Meet Snekmer: A Powerful Machine Learning Based Protein Annotation Tool Utilizing Peptide Fingerprinting

Meet Snekmer: A Powerful Machine Learning Based Protein Annotation Tool Utilizing Peptide Fingerprinting

Dr. Tamanna Anwar - 0
Snekmer, an innovative software developed to better understand protein function in microbes, emerged from the collaborative efforts of researchers from the Pacific Northwest National...
AI-Driven Retrosynthesis Prediction with G2Retro: Prospects in Drug Development

AI-Driven Retrosynthesis Prediction with G2Retro: Prospects in Drug Development

Dr. Tamanna Anwar - 0
Recent research has demonstrated that generative AI has the ability to greatly speed up drug development in the pharmaceutical industry. Currently, it can take...
Accelerating Genomic Workflows: Harnessing the Power of NVIDIA Parabricks

Accelerating Genomic Workflows: Harnessing the Power of NVIDIA Parabricks

Dr. Tamanna Anwar - 0
As the integration of genome sequencing in scientific research, government policy, and personalized medicine continues to grow, the primary challenge for researchers has shifted...
Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies

Exploring Protein Modifications in Metabolic Diseases: Molecular Mechanisms and Therapeutic Strategies

Aditi Sarkar - 0
Comprehensive introspection of cellular and molecular level aberrations that prompted the worldwide prevalence of life-threatening Non Communicable Diseases like Diabetes, Obesity, Hypertension, Nonalcoholic Fatty...

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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