Computational chemistry – Page 3
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ResearchVan der Waals crust behind simple parameter that can describe chemical bonds
Penetration index provides a fresh perspective on two-atom interactions
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ResearchAI can suggest Covid-19 antivirals from protein sequence alone
IBM model can also find molecules that bind at different sites on target proteins
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CareersWorking at the forefront of AI
Petrina Kamya’s curiosity has led her across sectors to become a leader in drug discovery
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ArticleA three step strategy to make your research more sustainable
How chemistry data can make your reactions greener
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WebinarCutting-edge cosmetics: innovating for sustainability with machine learning & molecular simulations
Learn how to save cost, reduce time and drive innovation in developing sustainable cosmetic formulations
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ResearchNew neural networks calculate catalysts’ adsorption energy ‘with lightning-fast speed’
AI has been used to overcome the problems of modelling massive molecules on metal surfaces, which could accelerate the design of efficient catalysts
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OpinionOrganic chemists should place their trust in machine learning’s black box
Submitting to the higher power of abstraction can strengthen our insights
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OpinionScientific authorship in the time of ChatGPT
With AI-generated texts here to stay, we need to recognise that intellectual work is much more than just writing
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OpinionInterpreting the impact of AI large language models on chemistry
LLMs may outperform Alphafold, but currently struggle to identify simple chemical structures
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ResearchMelodies make molecules manipulable with musical machine models
Software represents molecules with sounds, rather than text and pictures
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ResearchMachine learning ecosystem evolves MOF design
Mofdscribe handles all stages from collecting data to evaluating performance
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ResearchAI identifies molecules from their featureless visible spectrum
Forget about trying to interpret peaks and let machine learning identify organic compounds from their entirely smooth visible spectrum
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ResearchOpen source software could deliver huge time savings for computational chemists
Program could improve efficiency of operations and automated solutions
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ResearchDataset with millions of entries set to help AI find new drugs
Neural networks perform better when trained on larger datasets
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FeatureChanging the game in protein structure prediction
Have AlphaFold and other machine learning techniques essentially solved the formerly fiendish problem, or is there still more to be done? Clare Sansom reports
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OpinionTurning negative results into positives
Publishing unsuccessful experiments is more important than ever as we try to train machines in chemistry
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OpinionFrom the St Valentine’s Day Massacre to modern ballistics analysis
Computational methods are making firearm evidence more statistically sound
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ResearchAlphaFold works with other AI tools to go from target to hit molecule in 30 days
End-to-end AI drug discovery process predicts potential inhibitors for a protein implicated in liver cancer
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BusinessEncoding creativity in drug discovery
Machine learning can complement and reinforce human intuition and experience