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WikiPathways 2024: A Next-Generation Pathway Database

WikiPathways is an open-access biological pathway database that was first launched in 2007.  It is still being developed and updated by a group of...

Speed and Precision in Medical Imaging: The Promise of ScribblePrompt

Clinical care as well as scientific research depend heavily on biomedical image segmentation. Certain biomedical picture segmentation tasks can be accurately automated by deep...

Personalizing Pangenomes: A New Approach to Reduce Reference Bias

In a groundbreaking study published in Nature Methods, a group of scientists consisting of the UC Santa Cruz Genomics Institute, University of Ferrara, Google...

ProteinBench: Unveiling the True Potential of Protein Foundation Models

A notable progress in protein prediction and generative tasks, such as 3D structure prediction, protein design, and conformational dynamics, has been made in recent...

How Are Transformer Models Bridging the Gap Between Data and Drug Discovery?

A recently published work by researchers from the Wuhan Textile University, China, and Michigan State University, USA, has addressed the use of transformer models...

Unlocking Molecular Dynamics: Dynaformer, a Graph-Based Deep Learning Model for Binding Affinity Prediction

One major obstacle in structure-based drug design is accurately predicting the affinities of protein-ligand interaction. The accuracy of data-driven affinity prediction methods has improved...

Can We Measure Protein Interactions at Unprecedented Scale? MP3-seq Says Yes!

Numerous biological processes are regulated by protein-protein interactions (PPIs), and modified PPIs have uses in gene and cell therapy. Here, researchers from the University...

ChatMol: Pioneering Conversational Molecular Design with AI

ChatMol, an innovative AI model designed by Tsinghua University, PingAn Technology, and Beijing University of Posts and Telecommunications researchers, shapes the contours of the...

AlphaProteo: Google DeepMind’s AI Revolution in Protein Design

Protein-binding protein computational design is a key skill with many applications in biotechnology and biological research. While some target proteins have been successfully targeted...

Breakthrough in Virtual Screening: OpenVS a Game-Changer for AI-Powered Drug Discovery

In a recent study published in Nature Communications, researchers at the University of Washington, University of California, San Francisco, and University of Michigan, along...

Shaping the Future of Enzyme Catalysis: Advances in the Computational Design of Serine Hydrolases

Enzymes can mediate discrete chemical reactions with sub-angstrom precision by employing complex, polar active sites to ensure a precise and effective response. Using the...

How Scripps Research Is Pioneering New Approaches 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...

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

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

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

AlphaFold is a database of protein structures and predictions. It contains predictions for ~214 million proteins. AlphaFold2, developed by DeepMind, has dramatically scaled our...

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

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...

ProteinGPT: Streamlining Complex Protein Analysis Through Conversational AI

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

CellTracksColab: A Breakthrough Platform for Cell Tracking Data Analysis

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...

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

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

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

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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Breaking New Ground in Protein Function Prediction with Protein-Mamba

Breaking New Ground in Protein Function Prediction with Protein-Mamba

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Determining the function of proteins is one defining aspect of molecular biology that also carries great potential in drug discovery and development. A better...
The Future of Cell Modeling: Building Virtual Cells with Artificial Intelligence

The Future of Cell Modeling: Building Virtual Cells with Artificial Intelligence

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One of the most important concepts in biology is the cell, which is perhaps the smallest unit of life. This understanding and identifying the...
Unleashing the Power of Dynamics: A 4D Diffusion Approach to Protein Structure Prediction

Unleashing the Power of Dynamics: A 4D Diffusion Approach to Protein Structure Prediction

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The ability to anticipate the structure of proteins is essential for improving biological research, developing new pharmaceuticals, and designing experiments. It also helps to...
Everlasting Memory: Storing the Human Genome on a 5D Crystal

Everlasting Memory: Storing the Human Genome on a 5D Crystal

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In a remarkable corridor of achievement, the scientists of the University of Southampton have reputedly gotten the ability to conserve the complete human genomic...
Unveiling Druggable Pockets with PocketVec: A Comprehensive Approach with Binding Site Descriptors

Unveiling Druggable Pockets with PocketVec: A Comprehensive Approach with Binding Site Descriptors

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Target-based drug development depends heavily on characterizing druggable pockets, which are protein areas with the capacity to bind organic small molecules. Nevertheless, the process...