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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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AI

Computing the Human Interactome: A Deep Dive into Protein Interactions

Anchal Negi - 0
A recent study by a team of researchers has made significant strides in unraveling this complex puzzle of human interaction. The human interactome encompasses...
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AI

Understanding FlexLMM: A Nextflow Framework for Genome-Wide Association Studies

Neermita Bhattacharya - 0
Genome-wide association Studies (GWAS) consider sequencing the DNA of a person and then comparing it with a population to find genetic markers associated with...
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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,...
The Future of Bioinformatics: Building Expertise for Data-Driven Discovery

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

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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