AI is revolutionising proteomics and has the potential to unlock new frontiers in targeted healthcare and biomedical research. At the heart of this is peptide sequencing, an essen...
Enhancing Peptide Sequencing with AI...
on Mar 31, 2025 | 09:01am
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Exploring the Proteome with ProtBFN...
on Mar 06, 2025 | 11:59am
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InstaDeep at the AI Action Summit, Grand Palais, Paris...
on Feb 20, 2025 | 11:45am
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New heights – InstaGeo at the AI Action Summit 2025...
on Feb 10, 2025 | 05:04pm
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Building the Future of Food Security – GeoAI Hack...
on Feb 07, 2025 | 03:48pm
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AI Action Summit – Coming Together to Build the Future of A...
on Feb 04, 2025 | 10:47am
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GeoAI Hackathon: Tackling Africa’s Locust Crisis with AI Innova...
on Jan 23, 2025 | 01:09pm
Desert locust swarms represent one of the greatest threats to food security in Africa. Capable of consuming their weight in crops daily, these pests devastate livelihoods, destroy...
Celebrating Breakthroughs: Dr Andrija Sente Honoured During Nobel...
on Dec 16, 2024 | 10:27am
Each year in Stockholm, Nobel Prize Week celebrates the ideas and breakthroughs that have transformed our understanding of the world. In the same week (6–12 December), the Scien...
InstaDeep showcases 8 papers at NeurIPS 2024...
on Dec 09, 2024 | 03:16pm
From our beginnings to becoming a key player in AI, supporting new research spaces and sharing what we’ve learnt in AI has always been at the core of InstaDeep’s DNA. This...
Decoding our Genome with Nucleotide Transformers...
on Dec 05, 2024 | 12:06pm
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Research
De novo peptide sequencing with InstaNovo: Accurate, database-free peptide identification for large scale proteomics experiments
Nature Machine Intelligence Mar 2025
Bayesian Optimisation for Protein Sequence Design: Gaussian Processes with Zero-Shot Protein Language Model Prior Mean
NeurIPS 2024 workshop Dec 2024
![Free energy surface of unseen alanine-dipeptide Comparison of the samples obtained by running ground truth MD and boostMD. The free energy of the Ramachandran plot, is directly related to the marginalized Boltzmann distribution exp [−F(ϕ, ψ)/kBT]. The reference model is evaluated every 10 steps. Both simulations are run for 5 ns (5 × 106 steps).](https://www.instadeep.com/wp-content/uploads/2024/12/image-7-352x182.png)
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