SMMPPI: a machine learning-based approach for prediction of modulators of protein-protein interactions and its application for identification of novel inhibitors for RBD:hACE2 interactions in SARS-CoV-2.
Metabolic profiling of pregnancy: cross-sectional and longitudinal evidence.
Bmc Medicine
Wang, Qin Q; Würtz, Peter P; Auro, Kirsi K; Mäkinen, Ville-Petteri VP; Kangas, Antti J AJ; Soininen, Pasi P; Tiainen, Mika M; Tynkkynen, Tuulia T; Jokelainen, Jari J; Santalahti, Kristiina K; Salmi, Marko M; Blankenberg, Stefan S; Zeller, Tanja T; Viikari, Jorma J; Kähönen, Mika M; Lehtimäki, Terho T; Salomaa, Veikko V; Perola, Markus M; Jalkanen, Sirpa S; Järvelin, Marjo-Riitta MR; Raitakari, Olli T OT; Kettunen, Johannes J; Lawlor, Debbie A DA; Ala-Korpela, Mika M
A zebrafish melanoma model reveals emergence of neural crest identity during melanoma initiation.
Science (New York, N.Y.)
Kaufman, Charles K CK; Mosimann, Christian C; Fan, Zi Peng ZP; Yang, Song S; Thomas, Andrew J AJ; Ablain, Julien J; Tan, Justin L JL; Fogley, Rachel D RD; van Rooijen, Ellen E; Hagedorn, Elliott J EJ; Ciarlo, Christie C; White, Richard M RM; Matos, Dominick A DA; Puller, Ann-Christin AC; Santoriello, Cristina C; Liao, Eric C EC; Young, Richard A RA; Zon, Leonard I LI