Resource
Hub
Welcome to the Resource Hub!
Here you will find a set of curated resources to help transform your proteomics research
INTELLIGENCE REPORT
The Single CELL & SPATIAL BUYER’S GUIDE
Interested in single cell and spatial proteomics? With 19 expert contributors and 8 full length chapters, the single cell and spatial buyer's guide is your one-stop tour of the market for 2024.
A must read for those look to push their research in exciting directions with a new single cell and spatial proteomics instrument or technique.
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The State of Proteomics
A great place to start for those new to the field. Proteomics as a concept has been around for a while, but has recently found itself in the spotlight due to new and improved technical methods. In this feature, we explore the State Of the current proteomics research landscape and the past, present and future of the field.
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The RISE (AND FALL?) OF GENOMICS
As technology advances, we’re used to hearing about the latest in a seemingly never-ending list of ‘omics’. With each one hailed as more promising than the last, opportunities in the life sciences field have never been more abundant than they are now.
Where does this leave genomics? Known to many as the original omic, genomics laid the groundwork for most other techniques. However, with many researchers experimenting with more novel technology these days, are simple genomics experiments becoming less exciting?
In this feature, we explore the evolution of omics and assess whether genomics research is a dwindling trade, or if we’re only just beginning.
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AI Models For Protein Structure Prediction
Understanding how amino acid sequences translate into complex, three-dimensional structures is a problem that has been puzzling scientists for decades. Since the introduction of machine learning into the field, we’ve seen a huge variety of models to assist with this task. In this feature, we discuss the tools that we feel have had, and continue to have, the greatest impact in the field of computational structure prediction.
INTELLIGENCE REPORT
The Multiomics Playbook
20 expert contributors and 8 full length chapters. The Multi-Omics Playbook is your one-stop-shop to learn about combining omic data, including proteomics, into meaningful data!
Within these pages, you will find an up-to-date overview of the integration landscape, in depth summaries of transcriptomic and proteomic methods and transcriptomic and epigenomic methods. Plus, an introduction to metabolomics and coverage of the various applications of multi-modal data in a clinical and pharmaceutical capacity.
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Creating Life’s Building Blocks: Models for De Novo Protein Design
Deep learning methods have recently been shown to create protein structures that have the precise geometry needed for their desired function. In this feature, we explore the major tools used for de novo protein design and commercial options for AI-based novel protein creation.
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AlphaFold 3: Stepping into the future of structure prediction
We’ve all heard about the potential of artificial intelligence in the life sciences field. In 2020, the launch of AlphaFold 2, pioneered by Google DeepMind, took the world by storm and marked a new age in protein structure prediction. But now, AlphaFold 3 is transforming the landscape again. In this news highlight, we explore the new tech, compare it to its predecessor and take a look to the future.