Lars Carlsson
Lars Carlsson
Stena Line and CLRC University of London
Verified email at stenaline.com
Title
Cited by
Cited by
Year
Erratum to: The Chemistry Development Kit (CDK) v2. 0: atom typing, depiction, molecular formulas, and substructure searching
EL Willighagen, JW Mayfield, J Alvarsson, A Berg, L Carlsson, ...
Journal of cheminformatics 9 (1), 53, 2017
164*2017
The Chemistry Development Kit (CDK) v2. 0: atom typing, depiction, molecular formulas, and substructure searching
EL Willighagen, JW Mayfield, J Alvarsson, A Berg, L Carlsson, ...
Journal of cheminformatics 9 (1), 33, 2017
1642017
The Chemistry Development Kit (CDK) v2. 0: atom typing, depiction, molecular formulas, and substructure searching
EL Willighagen, JW Mayfield, J Alvarsson, A Berg, L Carlsson, ...
Journal of Cheminformatics 9 (1), 33, 2017
1642017
Circular fingerprints: flexible molecular descriptors with applications from physical chemistry to ADME
RC Glen, A Bender, CH Arnby, L Carlsson, S Boyer, J Smith
IDrugs 9 (3), 199, 2006
1572006
State-of-the-art tools for computational site of metabolism predictions: comparative analysis, mechanistical insights, and future applications
L Afzelius, C Hasselgren Arnby, A Broo, L Carlsson, C Isaksson, U Jurva, ...
Drug metabolism reviews 39 (1), 61-86, 2007
1362007
Reaction site mapping of xenobiotic biotransformations
S Boyer, CH Arnby, L Carlsson, J Smith, V Stein, RC Glen
Journal of chemical information and modeling 47 (2), 583-590, 2007
1122007
Introducing conformal prediction in predictive modeling. A transparent and flexible alternative to applicability domain determination
U Norinder, L Carlsson, S Boyer, M Eklund
Journal of chemical information and modeling 54 (6), 1596-1603, 2014
1102014
Use of historic metabolic biotransformation data as a means of anticipating metabolic sites using MetaPrint2D and Bioclipse
L Carlsson, O Spjuth, S Adams, RC Glen, S Boyer
BMC bioinformatics 11 (1), 362, 2010
812010
Choosing Feature Selection and Learning Algorithms in QSAR
M Eklund, U Norinder, S Boyer, L Carlsson
Journal of chemical information and modeling 54 (3), 837-843, 2014
622014
Interpretation of nonlinear QSAR models applied to Ames mutagenicity data
L Carlsson, EA Helgee, S Boyer
Journal of chemical information and modeling 49 (11), 2551-2558, 2009
612009
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
J Sun, N Jeliazkova, V Chupakhin, JF Golib-Dzib, O Engkvist, L Carlsson, ...
Journal of cheminformatics 9 (1), 17, 2017
552017
ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics
J Sun, N Jeliazkova, V Chupakhin, JF Golib-Dzib, O Engkvist, L Carlsson, ...
Journal of cheminformatics 9 (1), 17, 2017
552017
The application of conformal prediction to the drug discovery process
M Eklund, U Norinder, S Boyer, L Carlsson
Annals of Mathematics and Artificial Intelligence 74 (1-2), 117-132, 2015
542015
Stereo signature molecular descriptor
P Carbonell, L Carlsson, JL Faulon
Journal of chemical information and modeling 53 (4), 887-897, 2013
512013
Aggregated Conformal Prediction
L Carlsson, M Eklund, U Norinder
IFIP International Conference on Artificial Intelligence Applications and …, 2014
412014
How experimental errors influence drug metabolism and pharmacokinetic QSAR/QSPR models
MC Wenlock, LA Carlsson
Journal of chemical information and modeling 55 (1), 125-134, 2014
402014
Applying Mondrian Cross-Conformal Prediction To Estimate Prediction Confidence on Large Imbalanced Bioactivity Data Sets
J Sun, L Carlsson, E Ahlberg, U Norinder, O Engkvist, H Chen
Journal of chemical information and modeling 57 (7), 1591-1598, 2017
382017
AZOrange-High performance open source machine learning for QSAR modeling in a graphical programming environment
JC Stålring, LA Carlsson, P Almeida, S Boyer
Journal of cheminformatics 3 (1), 28, 2011
382011
Ligand-based target prediction with signature fingerprints
J Alvarsson, M Eklund, O Engkvist, O Spjuth, L Carlsson, JES Wikberg, ...
Journal of chemical information and modeling 54 (10), 2647-2653, 2014
372014
Assessment of machine learning reliability methods for quantifying the applicability domain of QSAR regression models
M Toplak, R Močnik, M Polajnar, Z Bosnić, L Carlsson, C Hasselgren, ...
Journal of chemical information and modeling 54 (2), 431-441, 2014
362014
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Articles 1–20