Jonathan Alvarsson
Universitetsadjunkt vid Institutionen för farmaceutisk biovetenskap; Forskning; Farmaceutisk bioinformatik
- Telefon:
- 018-471 42 81
- Mobiltelefon:
- 070-167 95 56
- E-post:
- jonathan.alvarsson@uu.se
- Besöksadress:
- Biomedicinskt centrum BMC, Husargatan 3
- Postadress:
- Box 591
751 24 UPPSALA
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Publikationer
Senaste publikationer
- In Silico Prediction of Human Clinical Pharmacokinetics with ANDROMEDA by Prosilico (2023)
- In silico predictions of the human pharmacokinetics/toxicokinetics of 65 chemicals from various classes using conformal prediction methodology (2022)
- In Silico Predictions of the Gastrointestinal Uptake of Macrocycles in Man Using Conformal Prediction Methodology (2022)
- Predicting With Confidence (2021)
- In silico prediction of volume of distribution of drugs in man using conformal prediction performs on par with animal data-based models (2021)
Alla publikationer
Artiklar
- In Silico Prediction of Human Clinical Pharmacokinetics with ANDROMEDA by Prosilico (2023)
- In silico predictions of the human pharmacokinetics/toxicokinetics of 65 chemicals from various classes using conformal prediction methodology (2022)
- In Silico Predictions of the Gastrointestinal Uptake of Macrocycles in Man Using Conformal Prediction Methodology (2022)
- Predicting With Confidence (2021)
- In silico prediction of volume of distribution of drugs in man using conformal prediction performs on par with animal data-based models (2021)
- Predicting target profiles with confidence as a service using docking scores (2020)
- SciPipe - Turning Scientific Workflows into Computer Programs (2019)
- SciPipe (2019)
- Evaluating parameters for ligand-based modeling with random forest on sparse data sets (2018)
- Predicting off-target binding profiles with confidence using Conformal Prediction (2018)
- A confidence predictor for logD using conformal regression and a support-vector machine (2018)
- The Chemistry Development Kit (CDK) v2.0 (2017)
- Large-scale ligand-based predictive modelling using support vector machines (2016)
- Ex Vivo Assessment of Drug Activity in Patient Tumor Cells as a Basis for Tailored Cancer Therapy (2016)
- Towards agile large-scale predictive modelling in drug discovery with flow-based programming design principles (2016)
- Scaling predictive modeling in drug development with cloud computing (2015)
- Benchmarking Study of Parameter Variation When Using Signature Fingerprints Together with Support Vector Machines (2014)
- Ligand-Based Target Prediction with Signature Fingerprints (2014)
- Bioclipse-R (2013)
- Open source drug discovery with Bioclipse (2012)
- Brunn (2011)
- Open Data, Open Source and Open Standards in chemistry (2011)
- Linking the Resource Description Framework to cheminformatics and proteochemometrics (2011)
- Bioclipse 2 (2009)
- Bioclipse 2: A scriptable integration platform for the life sciences (2009)
- CPSign - Conformal Prediction for Cheminformatics Modeling