Jarl E. S. Wikberg - researchr alias

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Viewing Publication 1 - 27 from 27

2016

Large-scale ligand-based predictive modelling using support vector machinesJonathan Alvarsson, Samuel Lampa, Wesley Schaal, Claes R. Andersson, Jarl E. S. Wikberg, Ola Spjuth. jcheminf, 8(1), 2016. [doi]

osFP: a web server for predicting the oligomeric states of fluorescent proteinsSaw Simeon, Watshara Shoombuatong, Nuttapat Anuwongcharoen, Likit Preeyanon, Virapong Prachayasittikul, Jarl E. S. Wikberg, Chanin Nantasenamat. jcheminf, 8(1), 2016. [doi]

2015

Proteochemometric model for predicting the inhibition of penicillin-binding proteinsSunanta Nabu, Chanin Nantasenamat, Wiwat Owasirikul, Ratana Lawung, Chartchalerm Isarankura-Na-Ayudhya, Maris Lapinsh, Jarl E. S. Wikberg, Virapong Prachayasittikul. jcamd, 29(2):127-141, 2015. [doi]

2014

2013

Bioclipse-R: integrating management and visualization of life science data with statistical analysisOla Spjuth, Valentin Georgiev, Lars Carlsson, Jonathan Alvarsson, Arvid Berg, Egon L. Willighagen, Jarl E. S. Wikberg, Martin Eklund. bioinformatics, 29(2):286-289, 2013. [doi]

2011

2010

An eScience-Bayes strategy for analyzing omics dataMartin Eklund, Ola Spjuth, Jarl E. S. Wikberg. bmcbi, 11:282, 2010. [doi]

Kinome-wide interaction modelling using alignment-based and alignment-independent approaches for kinase description and linear and non-linear data analysis techniquesMaris Lapinsh, Jarl E. S. Wikberg. bmcbi, 11:339, 2010. [doi]

Towards interoperable and reproducible QSAR analyses: Exchange of datasetsOla Spjuth, Egon L. Willighagen, Rajarshi Guha, Martin Eklund, Jarl E. S. Wikberg. jcheminf, 2:5, 2010. [doi]

2009

2008

2007

2006

Prediction of indirect interactions in proteinsPeteris Prusis, Staffan Uhlén, Ramona Petrovska, Maris Lapinsh, Jarl E. S. Wikberg. bmcbi, 7:167, 2006. [doi]

2005

Unbiased descriptor and parameter selection confirms the potential of proteochemometric modellingEva Freyhult, Peteris Prusis, Maris Lapinsh, Jarl E. S. Wikberg, Vincent Moulton, Mats G. Gustafsson. bmcbi, 6:50, 2005. [doi]

Improved approach for proteochemometrics modeling: application to organic compound - amine G protein-coupled receptor interactionsMaris Lapinsh, Peteris Prusis, Staffan Uhlén, Jarl E. S. Wikberg. bioinformatics, 21(23):4289-4296, 2005. [doi]

2004

Proteochemometrics Modeling of Receptor-Ligand Interactions Using Rough SetsH. Strömbergsson, Peteris Prusis, Herman Midelfart, Jarl E. S. Wikberg, Henryk Jan Komorowski. gcb 2004: 85-94

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