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SPLANG—a synthetic poisson-lognormal-based abundance and network generative model for microbial interaction inference algorithms

Our synthetic Poisson-lognormal-based abundance and network generative model (SPLANG) draws on and extends the Poissson-lognormal generative model proposed by of Chiquet et al.27. In this section, we...

Quantum chemical calculation dataset for representative protein folds by the fragment molecular orbital method

The three-dimensional structures of biological macromolecules such as proteins and nucleic acids are crucial for understanding their functions. These structures can be determined experimentally using X-ray crystallography,...

Predicting non-responders to lifestyle intervention in prediabetes: a machine learning approach

Sources of data and participantsThe database used for developing the predictive algorithm was the International Center for the Assessment of Nutritional Status (ICANS, University of Milan, Milan,...

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A mechanistic exploration of the Wilkinson hydrogenation catalyst. Part 1: Model templates

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Part 1 – A look back at some of our favourite podcasts – Naturally Speaking

This week Naturally Speaking turns 10 years old! Our first podcast was published on May 15th, 2012. Since then, we have published a total...

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