Publications

(2023). Towards automated video-based assessment of dystonia in dyskinetic cerebral palsy: a novel approach using markerless motion tracking and machine learning. Frontiers in Robotics and AI.

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(2023). MS2Query: reliable and scalable MS2 mass spectra-based analogue search. Nature Communications.

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(2023). Artificial intelligence for natural product drug discovery. Nature Reviews Drug Discovery.

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(2022). Short Lecture “Mass spectrometry-based sample vectorization for exploration of large chemodiverse datasets and efficient identification of new antiparasitic compounds”. Planta Medica.

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(2022). MEMO: mass spectrometry-based sample vectorization to explore chemodiverse datasets. Frontiers in Bioinformatics.

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(2022). Good practices and recommendations for using and benchmarking computational metabolomics metabolite annotation tools. Metabolomics.

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(2022). Discovering Boolean Functions on Actin Networks. Handbook of Unconventional Computing: VOLUME 2: Implementations.

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(2022). Comparison of cosine, modified cosine, and neutral loss based spectrum alignment for discovery of structurally related molecules. Journal of the American Society for Mass Spectrometry.

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(2021). Spec2Vec: Improved mass spectral similarity scoring through learning of structural relationships. PLoS computational biology.

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(2021). MS2DeepScore: a novel deep learning similarity measure to compare tandem mass spectra. Journal of cheminformatics.

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(2021). EB3-informed dynamics of the microtubule stabilizing cap during stalled growth. bioRxiv.

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(2021). DOME: recommendations for supervised machine learning validation in biology. Nature methods.

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(2021). Advances in decomposing complex metabolite mixtures using substructure-and network-based computational metabolomics approaches. Natural product reports.

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(2021). A community resource for paired genomic and metabolomic data mining. Nature Chemical Biology.

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(2020). Mcfly: Automated deep learning on time series. SoftwareX.

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(2020). matchms - processing and similarity evaluation of mass spectrometry data. Journal of Open Source Software.

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(2020). Actin networks voltage circuits. Physical Review E.

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(2019). GGIR: a research community--driven open source R package for generating physical activity and sleep outcomes from multi-day raw accelerometer data. Journal for the Measurement of Physical Behaviour.

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(2019). Declaration on sustainable researcher careers. Zenodo.

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(2019). Computing on actin bundles network. Scientific reports.

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(2019). Actin droplet machine. Royal Society Open Science.

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(2015). Formation of regularly spaced networks as a general feature of actin bundle condensation by entropic forces. New Journal of Physics.

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(2015). Cytoskeletal crosstalk: when three different personalities team up. Current opinion in cell biology.

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(2014). In vitro reconstitution of dynamic microtubules interacting with actin filament networks. Methods in enzymology.

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(2014). Actin--microtubule coordination at growing microtubule ends. Nature communications.

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(2013). Emergent complexity of the cytoskeleton: from single filaments to tissue. Advances in physics.

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(2012). Counterion-Induced Formation of Regular Actin Bundle Networks. Biophysical Journal.

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(2012). Counterion-induced formation of regular actin bundle networks. Soft Matter.

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(2011). Self-regulative organization of the cytoskeleton. Cytoskeleton.

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(2011). Robust organizational principles of protrusive biopolymer networks in migrating living cells. PloS one.

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(2009). The cytoskeleton: An active polymer-based scaffold. Biophysical Reviews and Letters.

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(2008). Growing actin networks form lamellipodium and lamellum by self-assembly. Biophysical Journal.

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