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ProteinGPT: Streamlining Complex Protein Analysis Through Conversational AI

Anchal Negi - 0
ProteinGPT was developed jointly by specialists from the University of California in Los Angeles and the Georgia Institute of Technology and Meta AI. The...
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AI

CellTracksColab: A Breakthrough Platform for Cell Tracking Data Analysis

Neermita Bhattacharya - 0
Understanding complex cellular behaviors quantitatively is essential for gaining in-depth insights into cell biology. Tracking the movement and interactions (movies) of cells over time...
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Bioinformatics

WebAtlas: A Powerful Tool for Integrated Single Cell and Spatial Transcriptomic Data Analysis

Anchal Negi - 0
A recent study by Tong Li and colleagues from the Wellcome Sanger Institute and other institutions introduces WebAtlas, an innovative pipeline aimed at addressing...
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AI

DeepEnzyme Improves Enzyme Turnover Prediction Accuracy Leveraging Deep Learning and Protein 3D-Structure Features

Deotima Chakraborty - 0
In synthetic biology, turnover numbers (kcat) — a critical measure of an enzyme's efficiency—have a variety of applications. On the other hand, kcat measurement...
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Bioinformatics

Streamlining Gene Identification: UnigeneFinder’s Automated Approach to Reference-Free Transcriptome Analysis

Neermita Bhattacharya - 0
The availability of genome data is of great importance in this day and age. But, transcriptome data (which is a subset of the entire...
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AI

Revolutionizing Molecular Representation: A Deep Dive into Fragment and Geometry-Aware Tokenization

Deotima Chakraborty - 0
Targeted and efficient treatments for identified protein targets necessitate the use of structure-based drug design (SBDD); this is still a challenge owing to the...
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Bioinformatics

A DNA Damage Repair Superhero ‘DdrC’

Anchal Negi - 0
A recent study published in Nucleic Acids Research has unveiled a critical role played by DdrC. The researchers found out that it can work...
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AI

Revolutionizing Drug Discovery: Predicting Pharmacokinetics from SMILES Using Diffusion Models and Deep Learning

Deotima Chakraborty - 0
The use of artificial intelligence (AI) in all phases of medication development is growing rapidly. Drug pharmacokinetic (PK) datasets are frequently acquired independently of...
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Bioinformatics

Breaking Down Cancer Genomes: The Innovative Visualization Toolkit GenomeSpy

Neermita Bhattacharya - 0
Trying to visualize available genomic data is of great interest. Currently, there exists a lot of specialized visualization tools, but most need to be...
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Bioinformatics

Oxford Researchers Breakthrough in Predicting Protein Function from Sequence Alone Using Statistics-Informed Graph Networks

Deotima Chakraborty - 0
Understanding the complex mechanisms behind many essential biological activities is essential for developing new drugs and has broad ramifications in the disciplines of biotechnology,...
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AI

Shaping the Future of Drug Design: GFlowNets and Cell Morphology-Guided Approach

Anchal Negi - 0
Scientists from McGill University, Genentech, and Université de Montréal have developed GFlowNets, a new way to speed up the process of discovering drugs. Their...
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AI

Unleashing the Power of Protein Language Models for Accurate Peptide Sequencing

Neermita Bhattacharya - 0
Protein structure is important and should be studied to understand many biological processes and disease progressions. There are many advancements using machine learning techniques,...
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AI

Exploring PreciousGPT: A Revolutionary Approach to Artificial Multi-Omics Sample Generation Across Species and Tissues

Deotima Chakraborty - 0
When it comes to training and assessing genomic analytic tools, managing differential expression, and investigating data architecture, synthetic data production in omics replicates real-world...
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Covid-19 News

Long COVID: Understanding the Lingering Effects of COVID-19

Anchal Negi - 0
The COVID-19 pandemic has undoubtedly caused a lasting impact on the world. Millions of people worldwide are still struggling with the aftermath of COVID-19,...
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AI

Breaking New Ground in Protein Engineering: Riff-Diff and the Creation of High-Performance Enzymes

Deotima Chakraborty - 0
Enzymes that have been specially engineered can improve the application of biocatalysts in industrial biotransformations and help address the biotechnological problems of the twenty-first...
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AI

ProseLM’s Novel Approach to Transform Protein Language Models into Powerful Design Tools

Neermita Bhattacharya - 0
Protein design is important for personalized medicine and drug discovery. Generative models for protein structures prove to be especially useful in these areas. Traditional...
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Bioinformatics

Unraveling the Pangenome: Pangene Graphs Enables Comprehensive Gene Content Analysis Across Diverse Organisms

Neermita Bhattacharya - 0
In genomics, we need to understand the gene content of an organism to understand its true biology. This is essential for large eukaryotic genomes,...
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AI

Redefining Protein Engineering: The Role of Natural Language Processing in De Novo Protein Design

Deotima Chakraborty - 0
The goal of de novo protein design (DNPD) is to build novel protein sequences from scratch without using pre-existing protein templates. Nevertheless, existing deep...
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AI

Can Artificial Intelligence Predict Cancer Vulnerability from Biopsies for Precision Oncology?

Anchal Negi - 0
A recent study in the Journal of Clinical Oncology reveals a groundbreaking artificial intelligence (AI) tool, 'DeepHRD', that can predict how vulnerable a cancer...
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AI

Technion and Meta AI Present GOProteinGNN: A Novel Architecture Enhancing Protein Language Models with Protein Knowledge Graph Integration

Neermita Bhattacharya - 0
Personalized Drug Therapy is growing rapidly nowadays. For that, accurate representations of the protein structures are important. Recently, the use of machine learning and...
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How Scripps Research Is Pioneering New Approaches to Slow Cancer Growth

How Scripps Research Is Pioneering New Approaches 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...
Are We Closer to Mapping the Full Conformational Landscape of Proteins?

Are We Closer to Mapping the Full Conformational Landscape of Proteins?

Anchal Negi - 0
Proteins perform enormous tasks in our cells as molecular machines. These functions rely on the structural plasticity or the ability to adopt multiple shapes...
Unlocking Protein Secrets: AlphaFold-SFA's Breakthrough in Cryptic Pocket Discovery

Unlocking Protein Secrets: AlphaFold-SFA’s Breakthrough in Cryptic Pocket Discovery

Deotima Chakraborty - 0
Rare events in proteins, which are essential for comprehending intricate phenomena like transitory structural changes and protein-ligand interactions, are frequently missed by unbiased molecular...
Navigating the AlphaFold Universe with DPCstruct's Domain-Level Classification

Navigating the AlphaFold Universe with DPCstruct’s Domain-Level Classification

Neermita Bhattacharya - 0
AlphaFold is a database of protein structures and predictions. It contains predictions for ~214 million proteins. AlphaFold2, developed by DeepMind, has dramatically scaled our...
Revolutionizing Drug Discovery with LigPose: One-Step Structure Prediction of Protein-Ligand Complexes with Geometric Deep Learning

Revolutionary One-Step Approach: Predicting and Screening Protein-Ligand Complexes with Geometric Deep Learning

Deotima Chakraborty - 0
Deep learning is being utilized in the course of drug development to understand the structure of the protein-ligand complex, utilizing the technique of virtual...

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