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

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

Scripps Scientists Unveil New Proteins with Potential to Slow Cancer Growth

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

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

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...

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

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...

Decoding Complex Interactions: How AlphaBridge Enhances Macromolecular Structure Interpretation

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

How Can Synthetic Genomes Revolutionize Cancer Research and Precision Oncology?

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

Building with Proteins: A New Modular Approach to Nanomaterials Design

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...

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

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

DeltaDock: Streamlining Molecular Docking with a Unified, Reliable Framework

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...

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

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

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

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

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

Drug discovery, synthetic biology, and enzyme engineering are all dependent on the ability to comprehend and create biomolecules, such as proteins and tiny molecules....

Computing the Human Interactome: A Deep Dive into Protein Interactions

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

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

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...

Meet metagWGS: A Flexible Workflow for Comprehensive Metagenomic Data Processing

An increasing number of studies employ metagenomic analyses to investigate the taxonomy and function of microorganism communities. In many microbial research, one typical job...

Cleveland Clinic and IBM Leverage AI to Revolutionize Drug Discovery for Pain Management

In drug development, it isn't easy to learn molecular representation from chemical structures since traditional molecular representation techniques, such as sequence-based and graph-based approaches,...

The Protein Revolution: 2024 Nobel Prize in Chemistry Pioneers Protein Design and AI-Powered Predictions

In a groundbreaking announcement that has sent ripples through the scientific community, the Royal Swedish Academy of Sciences has awarded the 2024 Nobel Prize...

PlasmidGPT: Transforming Plasmid Design with Generative AI

Recent research shows that within the domain of synthetic biology, there have been tremendous improvements, especially in designing and engineering biological systems. Plasmids, crucial...

BindCraft: Redefining Protein Binder Design with AI and One-Shot Precision

All important biological processes revolve around protein-protein interactions (PPIs'). Designing PPIs' is difficult, nonetheless, because of the intricate structural characteristics that define them. Researchers...

ProteusAI: Making Protein Design and Engineering Accessible to All

Protein structure prediction is a pretty big challenge in the field of bioinformatics as it depends on a multitude of factors. Imagine trying to...

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

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

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

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

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

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

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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...
Exploring Mitochondrial DNA Mutations with Mosaicism in Cancer and Aging

Exploring Mitochondrial DNA Mutations with Mosaicism in Cancer and Aging

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Currently, we know that genomic variations are gathered up in somatic cells as one age, but we have a limited understanding of mitochondrial DNA...
Beyond Virtual Screening: How Rag2Mol Transforms AI-Driven Drug Discovery

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

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