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Journal of Chemical Information and Modeling|July 17, 2013
Development of dimethyl sulfoxide solubility models using 163,000 molecules: using a domain applicability metric to select more reliable predictionsIgor V Tetko, Sergii Novotarskyi, Iurii Sushko, et al.
Chemmedchem|April 15, 2014
Nonlinear dimensionality reduction for visualizing toxicity data: distance-based versus topology-based approachesNatalia V Kireeva, Svetlana I Ovchinnikova, Igor V Tetko, et al.
Journal of Inorganic Biochemistry|December 31, 2015
Prediction of logP for Pt(II) and Pt(IV) complexes: Comparison of statistical and quantum-chemistry based approachesIgor V Tetko, Hristo P Varbanov, Mathea S Galanski, et al.
Journal of Chemical Information and Modeling|December 10, 2014
How accurately can we predict the melting points of drug-like compounds?Igor V Tetko, Yurii Sushko, Sergii Novotarskyi, et al.
Methods (San Diego, Calif.)|May 3, 2003
An unsupervised automatic method for sorting neuronal spike waveforms in awake and freely moving animalsTetyana I Aksenova, Olga K Chibirova, Oleksandr A Dryga, et al.
Computational Biology and Chemistry|February 1, 2005
Gene selection from microarray data for cancer classification--a machine learning approachYu Wang, Igor V Tetko, Mark A Hall, et al.
Chemical Biology & Drug Design|March 14, 2020
In silico and in vitro studies of a number PILs as new antibacterials against MDR clinical isolate Acinetobacter baumanniiMaria M Trush, Vasyl Kovalishyn, Diana Hodyna, et al.
Alternatives to Laboratory Animals : ATLA|April 26, 2013
Prioritisation of polybrominated diphenyl ethers (PBDEs) by using the QSPR-THESAURUS web toolIgor V Tetko, Pantelis Sopasakis, Prakash Kunwar, et al.
Molecular Informatics|November 24, 2018
Bimolecular Nucleophilic Substitution Reactions: Predictive Models for Rate Constants and Molecular Reaction Pairs AnalysisTimur Gimadiev, Timur Madzhidov, Igor Tetko, et al.
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