@article{b5e86d05836a4cc78f02ffda715ea84f,
title = "Similarity-Based Methods and Machine Learning Approaches for Target Prediction in Early Drug Discovery: Performance and Scope",
keywords = "IDENTIFICATION, IN-SILICO METHODS, OPPORTUNITIES, PHARMACOLOGY, POLYPHARMACOLOGY, WEB SERVER, drug discovery, machine learning, molecular fingerprints, molecular similarity, random forest, target prediction, Random forest, Target prediction, Molecular fingerprints, Machine learning, Drug discovery, Molecular similarity",
author = "Neann Mathai and Johannes Kirchmair",
note = "Publisher Copyright: {\textcopyright} 2020 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2020",
month = may,
doi = "10.3390/ijms21103585",
language = "English",
volume = "21",
journal = "International Journal of Molecular Sciences",
issn = "1422-0067",
publisher = "MDPI AG",
number = "10",
}