• Prediction of cell-penetrating peptides using artificial neural networksDobchev, Dimitar A.; Mäger, Imre; Tulp, Indrek; Karelson, Gunnar; Tamm, Tarmo; Tämm, Kaido; Jänes, Jaak; Langel, Ülo; Karelson, MatiCurrent computer-aided drug design2010 / 2, p. 79-89 https://www.ingentaconnect.com/contentone/ben/cad/2010/00000006/00000002/art00001?crawler=true
• 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
• Using artificial neural networks to predict cell-penetrating compoundsKarelson, Mati; Dobchev, DimitarExpert opinion drug discovery2011 / p. 783-796 : ill