• Have artificial neural networks met expectations in drug discovery as implemented in QSAR framework?Dobchev, Dimitar; Karelson, MatiExpert Opinion on Drug Discovery2016 / p. 627 - 639 https://doi.org/10.1080/17460441.2016.1186876 https://www.scopus.com/sourceid/6800153101 https://www.scopus.com/record/display.uri?eid=2-s2.0-84975298002&origin=resultslist&sort=plf-f&src=s&sid=7d6d63f39da6b1196261aa63de632623&sot=b&sdt=b&s=DOI%2810.1080%2F17460441.2016.1186876%29&sl=31&sessionSearchId=7d6d63f39da6b1196261aa63de632623&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=EXPERT%20OPIN%20DRUG%20DIS&year=2016 https://www.webofscience.com/wos/woscc/full-record/WOS:000377980500002
• In silico machine learning methods in drug developmentDobchev, Dimitar Atanasov; Pillai, Girinath Gopinathan; Karelson, MatiCurrent topics in medicinal chemistry2014 / p. 1913-1922 https://doi.org/10.2174/1568026614666140929124203 https://www.scopus.com/sourceid/12331 https://www.scopus.com/record/display.uri?eid=2-s2.0-84911446995&origin=inward&txGid=ee3212e8cb2cf93a7e5686a31fcd7532 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=CURR%20TOP%20MED%20CHEM&year=2014 https://www.webofscience.com/wos/woscc/full-record/WOS:000343125300006
• QSAR of heterocyclic compounds in large descriptor spacesKarelson, Mati; Dobchev, Dimitar AtanasovAdvances in Heterocyclic Chemistry ; Vol. 1202016 / p. 237 - 273 https://doi.org/10.1016/bs.aihch.2016.03.006 https://www.scopus.com/sourceid/25758 https://www.scopus.com/record/display.uri?eid=2-s2.0-84971268003&origin=resultslist&sort=plf-f&src=s&sid=8d358520e7c735e1160f217bca1279f3&sot=b&sdt=b&s=DOI%2810.1016%2Fbs.aihch.2016.03.006%29&sl=33&sessionSearchId=8d358520e7c735e1160f217bca1279f3&relpos=0 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ADV%20HETEROCYCL%20CHEM&year=2016 https://www.webofscience.com/wos/woscc/full-record/WOS:000383714800008
• Rational design of a series of novel amphipathic cell-penetrating peptidesRegberg, Jakob; Srimanee, Artita; Dobchev, Dimitar A.; Karelson, MatiInternational journal of pharmaceutics2014 / p. 111-116 : ill https://doi.org/10.1016/j.ijpharm.2014.01.018 https://www.scopus.com/sourceid/22454 https://www.scopus.com/record/display.uri?eid=2-s2.0-84896736402&origin=inward&txGid=2b7fd0ce8fb16595eb0b025fa708dac5 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20PHARMACEUT&year=2014 https://www.webofscience.com/wos/woscc/full-record/WOS:000331726000013
• Refinement of a quantitative structure–activity relationship model for prediction of cell-penetrating peptide based transfection systemsDowaidar, Moataz; Regberg, Jakob; Dobchev, Dimitar Atanasov; Lehto, Tõnis; Hällbrink, Mattias; Karelson, Mati; Langel, ÜloInternational journal of peptide research and therapeutics2017 / p. 91-100 : ill https://doi.org/10.1007/s10989-016-9542-8 https://www.scopus.com/sourceid/145580 https://www.scopus.com/record/display.uri?eid=2-s2.0-84976908409&origin=inward&txGid=b1cfc944e5e287ef0e21f6c9d624f721 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=INT%20J%20PEPT%20RES%20THER&year=2017 https://www.webofscience.com/wos/woscc/full-record/WOS:000393954000009
• Subchronic oral and inhalation toxicities : a challenging attempt for modeling and predictionDobchev, Dimitar A.; Tulp, Indrek; Karelson, Gunnar; Tamm, Tarmo; Tämm, Kaido; Karelson, MatiMolecular informatics2013 / p. 793-801 : ill https://doi.org/10.1002/minf.201300033 https://www.scopus.com/sourceid/19900192900 https://www.scopus.com/record/display.uri?eid=2-s2.0-84898775471&origin=resultslist&sort=plf-f&src=s&sot=b&sdt=b&s=DOI%2810.1002%2Fminf.201300033%29&sessionSearchId=09c53dd41ef9fa4501d393829f4e1654 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=MOL%20INFORM&year=2013 https://www.webofscience.com/wos/woscc/full-record/WOS:000330179500004
• Topological fingerprints as an aid in finding structural patterns for LRRK2 inhibitionKahn, Iiris; Lomaka, Andre; Karelson, MatiMolecular informatics2014 / p. 269-275 : ill https://doi.org/10.1002/minf.201300057 https://www.scopus.com/sourceid/19900192900 https://www.scopus.com/record/display.uri?eid=2-s2.0-84899630307&origin=inward&txGid=756ae6651854db7b5f47cf55ad05cca6 https://jcr.clarivate.com/jcr-jp/journal-profile?journal=MOL%20INFORM&year=2014 https://www.webofscience.com/wos/woscc/full-record/WOS:000334950000003
• Toxicity profiling of 24 l-phenylalanine derived ionic liquids based on pyridinium, imidazolium and cholinium cations and varying alkyl chains using rapid screening Vibrio fischeri bioassayKusumahastuti, Dewi Kurnianingsih Arum; Sihtmäe, Mariliis; Kapitanov, Illia; Karpichev, Yevgen; Gathergood, Nicholas; Kahru, AnneEcotoxicology and environmental safety2019 / p. 556-565 : ill https://doi.org/10.1016/j.ecoenv.2018.12.076 https://www.scopus.com/sourceid/25076 https://www.scopus.com/record/display.uri?eid=2-s2.0-85061594911&origin=inward&txGid=889840c6f0648463d9c3273f1e79647d https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ECOTOX%20ENVIRON%20SAFE&year=2022 https://www.webofscience.com/wos/woscc/full-record/WOS:000460196000070
• Using artificial neural networks to predict cell-penetrating compoundsKarelson, Mati; Dobchev, DimitarExpert opinion drug discovery2011 / p. 783-796 : ill