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The Future of Bioinformatics: Building Expertise for Data-Driven Discovery

Dr. Tamanna Anwar - 0
In an era where biological data grows exponentially, bioinformatics has emerged as a vital interdisciplinary field that combines biology, computer science, mathematics, and statistics....
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AI

The Power of Foundation Models in Pathology: How Paige’s Virchow is Changing Cancer Detection

Neermita Bhattacharya - 0
Computational pathology is the evolution of cancer diagnosis into a new era, with the application of artificial intelligence to understand complex histopathology images. Generally,...
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Bioinformatics

Unlock Molecular Conformations with Moltiverse Using Enhanced Sampling Molecular Dynamics Simulations

Deotima Chakraborty - 0
For drug development to be effective, it is essential to accurately predict the various bound-state conformations of small compounds, especially in situations where intricate...
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AI

AlphaFold3 Goes Open Source: A New Chapter in AI-Powered Protein Science

Dr. Tamanna Anwar - 0
In a significant move for the scientific community, Google DeepMind has finally released the open-source code for AlphaFold3, their groundbreaking protein structure prediction tool....
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Bioinformatics

New Bacterial Anti-Viral Defense System Revealed: How mRNA Alteration Stops Infection

Anchal Negi - 0
As biologists have noticed, evolution has modified both bacteria and bacteriophages (i.e., viruses of bacteria), making them more complex on a smile's molecular level....
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AI

PharmacoNet: Revolutionizing Ultra-Large-Scale Virtual Screening for Drug Discovery with Deep Learning-Powered Pharmacophore Modeling

Deotima Chakraborty - 0
Virtual screening techniques, which concentrate on binding affinities, are becoming more and more popular for early-stage drug development. Although deep learning-based methods predict binding...
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Bioinformatics

Exploring Mitochondrial DNA Mutations with Mosaicism in Cancer and Aging

Neermita Bhattacharya - 0
Currently, we know that genomic variations are gathered up in somatic cells as one age, but we have a limited understanding of mitochondrial DNA...
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AI

Beyond Virtual Screening: How Rag2Mol Transforms AI-Driven Drug Discovery

Anchal Negi - 0
The process of drug discovery has always necessitated a large amount of time and effort as it requires a careful combination of both chemical...
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AI

RAPIDDOCK: Revolutionizing Drug Discovery with Transformer-Based High-Speed Molecular Docking

Deotima Chakraborty - 0
Small molecule drug discovery could be revolutionized by molecular docking tools. Still, current molecular docking methods are slow to screen targets, leading to missed...
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News

Scripps Scientists Unveil New Proteins with Potential to Slow Cancer Growth

Neermita Bhattacharya - 0
To fight cancer, we must stop their metastasis or uncontrolled multiplication. Hence, it is important to understand what proteins these cancer cells need for...
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AI

The Encyclopedia of Domains: Mapping the Diversity of Protein Domains in the AlphaFold Database

Deotima Chakraborty - 0
Information about the function and three-dimensional structures of proteins can be found in the AlphaFold Protein Structure Database (AFDB). Almost all of the proteins...
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AI

Turning Genes On and Off: AI-Designed DNA Switches Revolutionize Gene Regulation

Neermita Bhattacharya - 0
In this day and age, artificial intelligence is everywhere; it’s omnipresent. It is utilized in healthcare, finance, entertainment, IoT, agriculture, marketing, cybersecurity, and so...
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AI

Decoding Complex Interactions: How AlphaBridge Enhances Macromolecular Structure Interpretation

Deotima Chakraborty - 0
Scientists can now model interactions and assess the possibility that proteins will form multimers or interact with other proteins or nucleic acids thanks to...
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AI

How Can Synthetic Genomes Revolutionize Cancer Research and Precision Oncology?

Anchal Negi - 0
Cancer, a complex disease arising from genetic alterations, has been a major global health challenge. Researchers have been able to make considerable progress in...
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News

Building with Proteins: A New Modular Approach to Nanomaterials Design

Deotima Chakraborty - 0
Scientists present a modular bond-centric strategy for designing protein nanomaterials that are motivated by the wide range of chemical configurations that may be produced...
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AI

Advancing Protein Function Prediction: ProtEx’s Exemplars-based Retrieval-Augmented Approach

Deotima Chakraborty - 0
The challenge of connecting a protein sequence to its fundamental biological function is becoming more and more significant in the field of biology. The...
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AI

DeltaDock: Streamlining Molecular Docking with a Unified, Reliable Framework

Anchal Negi - 0
DeltaDock is a novel two-stage framework capable of performing molecular docking, which has not been achieved before. It does so by combining the strengths...
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AI

Deep Learning Models in Pathogenicity Prediction: Insights from Hereditary Breast Cancer Gene Variants in the UK Biobank

Deotima Chakraborty - 0
Deep learning models have been used to predict the pathogenicity of mutations in hereditary breast cancer gene variants in the UK Biobank. Here, researchers...
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AI

Meet BioFunctional: A Comprehensive Tool for KEGG Pathway and Gene Ontology Analysis

Anchal Negi - 0
In the field of biological research, understanding the relationship between different biological components and their function is complicated. Functional analysis, a part of computational...
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AI

InstructBioMol: Empowering Researchers to Design Biomolecules through AI and Human Collaboration

Deotima Chakraborty - 0
Drug discovery, synthetic biology, and enzyme engineering are all dependent on the ability to comprehend and create biomolecules, such as proteins and tiny molecules....
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Evo: A Genomic Foundation Model Redefining Sequence Modeling and Design

Evo: A Genomics Foundation Model Redefining Sequence Modeling and Design

Deotima Chakraborty - 0
The DNA sequences of all living organisms hold the fundamental instructions for life. Massive datasets of entire genomes, together with machine learning advancements, may...
Innovating Through Collaboration: The Protein Engineering Tournament's Impact on Computational Design

Innovating Through Collaboration: The Protein Engineering Tournament’s Impact on Computational Design

Neermita Bhattacharya - 0
Protein engineering heavily relies on generating sequences using computational models. Limitations such as lack of benchmarking opportunities, scarcity of large protein function datasets, and...
How BALM is Redefining Binding Affinity Prediction for Unseen Targets and Drugs

How BALM is Redefining Binding Affinity Prediction for Unseen Targets and Drugs

Anchal Negi - 0
In the fast-paced world of drug discovery, one of the most crucial aspects is understanding protein-ligand interactions. With the correct algorithms for predicting protein-ligand...
EPBDxDNABERT-2: A Multi-Modal Deep Learning Model for Enhanced Transcription Factor DNA Binding Prediction

EPBDxDNABERT-2: A Multi-Modal Deep Learning Model for Enhanced Transcription Factor DNA Binding Prediction

Deotima Chakraborty - 0
It has been demonstrated that there is a functional correlation between transcriptional activity, thermodynamic stability, DNA breathing, and transcription factor (TF) binds. The researchers...
Omega-3 and Omega-6 Fatty Acids: New Allies in Cancer Prevention

Omega-3 and Omega-6 Fatty Acids: New Allies in Cancer Prevention

Dr. Tamanna Anwar - 0
A groundbreaking new research from the University of Georgia unveils that omega-3 and omega-6 fatty acids may play an integral role in cancer prevention,...

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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