Shilva Kayastha

Publication Activity (10 Years)

Years Active: 2014-2017
Publications (10 Years): 3

Top Topics

Topographic Maps

Support Vector Machine Classification

Top Venues

J. Chem. Inf. Model.

J. Comput. Aided Mol. Des.

Publications

Shilva Kayastha, Ryo Kunimoto, Dragos Horvath, Alexandre Varnek, Jürgen Bajorath
From bird's eye views to molecular communities: two-layered visualization of structure-activity relationships in large compound data sets. J. Comput. Aided Mol. Des. 31 (11) (2017)
Shilva Kayastha, Dragos Horvath, Erik Gilberg, Michael Gütschow, Jürgen Bajorath, Alexandre Varnek
Privileged Structural Motif Detection and Analysis Using Generative Topographic Maps. J. Chem. Inf. Model. 57 (5) (2017)
Dragos Horvath, Gilles Marcou, Alexandre Varnek, Shilva Kayastha, Antonio de la Vega de León, Jürgen Bajorath
Prediction of Activity Cliffs Using Condensed Graphs of Reaction Representations, Descriptor Recombination, Support Vector Machine Classification, and Support Vector Regression. J. Chem. Inf. Model. 56 (9) (2016)
Antonio de la Vega de León, Shilva Kayastha, Dilyana Dimova, Thomas Schultz, Jürgen Bajorath
Visualization of multi-property landscapes for compound selection and optimization. J. Comput. Aided Mol. Des. 29 (8) (2015)
Shilva Kayastha, Dilyana Dimova, Preeti Iyer, Martin Vogt, Jürgen Bajorath
Large-Scale Assessment of Activity Landscape Feature Probabilities of Bioactive Compounds. J. Chem. Inf. Model. 54 (2) (2014)