TGF-β-induced DACT1 biomolecular condensates repress Wnt signalling to promote bone metastasis von Esposito, Mark, Fang, Cao, Cook, Katelyn C., Park, Nana, Wei, Yong, Spadazzi, Chiara, Bracha, Dan, Gunaratna, Ramesh T., Laevsky, Gary, DeCoste, Christina J., Slabodkin, Hannah, Brangwynne, Clifford P., Cristea, Ileana M., Kang, Yibin

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Proteotoxic Stress as an Exploitable Vulnerability in Cells with Hyperactive AKT von Babagana, Mahamat, Brown, Lorin R, Slabodkin, Hannah Z, Kichina, Julia V, Kandel, Eugene S

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A compact vocabulary of paratope-epitope interactions enables predictability of antibody-antigen binding von Akbar, Rahmad, Robert, Philippe A., Pavlović, Milena, Jeliazkov, Jeliazko R., Snapkov, Igor, Slabodkin, Andrei, Weber, Cédric R., Scheffer, Lonneke, Miho, Enkelejda, Haff, Ingrid Hobæk, Haug, Dag Trygve Tryslew, Lund-Johansen, Fridtjof, Safonova, Yana, Sandve, Geir K., Greiff, Victor

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TGF-[beta]-induced DACT1 biomolecular condensates repress Wnt signalling to promote bone metastasis von Esposito, Mark, Fang, Cao, Cook, Katelyn C, Park, Nana, Wei, Yong, Spadazzi, Chiara, Bracha, Dan, Gunaratna, Ramesh T, Laevsky, Gary, DeCoste, Christina J, Slabodkin, Slabodkin, Brangwynne, Clifford P, Cristea, Ileana M, Kang, Yibin

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Individualized VDJ recombination predisposes the available Ig sequence space von Slabodkin, Andrei, Chernigovskaya, Maria, Mikocziova, Ivana, Akbar, Rahmad, Scheffer, Lonneke, Pavlović, Milena, Bashour, Habib, Snapkov, Igor, Mehta, Brij Bhushan, Weber, Cédric R, Gutierrez-Marcos, Jose, Sollid, Ludvig M, Haff, Ingrid Hobæk, Sandve, Geir Kjetil, Robert, Philippe A, Greiff, Victor

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In silico proof of principle of machine learning-based antibody design at unconstrained scale von Akbar, Rahmad, Robert, Philippe A, Weber, Cédric R, Widrich, Michael, Frank, Robert, Pavlović, Milena, Scheffer, Lonneke, Chernigovskaya, Maria, Snapkov, Igor, Slabodkin, Andrei, Mehta, Brij Bhushan, Miho, Enkelejda, Lund-Johansen, Fridtjof, Andersen, Jan Terje, Hochreiter, Sepp, Hobæk Haff, Ingrid, Klambauer, Günter, Sandve, Geir Kjetil, Greiff, Victor

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P21‐activated kinase 1 regulates resistance to BRAF inhibition in human cancer cells von Babagana, Mahamat, Johnson, Sydney, Slabodkin, Hannah, Bshara, Wiam, Morrison, Carl, Kandel, Eugene S.

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The immuneML ecosystem for machine learning analysis of adaptive immune receptor repertoires von Pavlović, Milena, Scheffer, Lonneke, Motwani, Keshav, Kanduri, Chakravarthi, Kompova, Radmila, Vazov, Nikolay, Waagan, Knut, Bernal, Fabian L. M., Costa, Alexandre Almeida, Corrie, Brian, Akbar, Rahmad, Al Hajj, Ghadi S., Balaban, Gabriel, Brusko, Todd M., Chernigovskaya, Maria, Christley, Scott, Cowell, Lindsay G., Frank, Robert, Grytten, Ivar, Gundersen, Sveinung, Haff, Ingrid Hobæk, Hovig, Eivind, Hsieh, Ping-Han, Klambauer, Günter, Kuijjer, Marieke L., Lund-Andersen, Christin, Martini, Antonio, Minotto, Thomas, Pensar, Johan, Rand, Knut, Riccardi, Enrico, Robert, Philippe A., Rocha, Artur, Slabodkin, Andrei, Snapkov, Igor, Sollid, Ludvig M., Titov, Dmytro, Weber, Cédric R., Widrich, Michael, Yaari, Gur, Greiff, Victor, Sandve, Geir Kjetil

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Intracerebroventricular dosing of N-sulfoglucosamine sulfohydrolase in mucopolysaccharidosis IIIA mice reduces markers of brain lysosomal dysfunction von Magat, Jenna, Jones, Samantha, Baridon, Brian, Agrawal, Vishal, Wong, Hio, Giaramita, Alexander, Mangini, Linley, Handyside, Britta, Vitelli, Catherine, Parker, Monica, Yeung, Natasha, Zhou, Yu, Pungor, Erno, Slabodkin, Ilya, Gorostiza, Olivia, Aguilera, Allora, Lo, Melanie J., Alcozie, Saida, Christianson, Terri M., Tiger, Pascale M.N., Vincelette, Jon, Fong, Sylvia, Gil, Geuncheol, Hague, Chuck, Lawrence, Roger, Wendt, Daniel J., Lebowitz, Jonathan H., Bunting, Stuart, Bullens, Sherry, Crawford, Brett E., Roy, Sushmita M., Woloszynek, Josh C.

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Deep learning and CRISPR-Cas13d ortholog discovery for optimized RNA targeting von Wei, Jingyi, Lotfy, Peter, Faizi, Kian, Baungaard, Sara, Gibson, Emily, Wang, Eleanor, Slabodkin, Hannah, Kinnaman, Emily, Chandrasekaran, Sita, Kitano, Hugo, Durrant, Matthew G, Duffy, Connor V, Pawluk, April, Hsu, Patrick D, Konermann, Silvana

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The role of polo‐like kinase 3 in the response of BRAF‐mutant cells to targeted anticancer therapies von Babagana, Mahamat, Kichina, Julia V., Slabodkin, Hannah, Johnson, Sydney, Maslov, Alexei, Brown, Lorin, Attwood, Kristopher, Nikiforov, Mikhail A., Kandel, Eugene S.

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The evidence for a microRNA product of human DROSHA gene von Mechtler, Peter, Johnson, Sydney, Slabodkin, Hannah, Cohanim, Amir B., Brodsky, Leonid, Kandel, Eugene S.

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The role of Polo-like kinase 3 in the response of BRAF-mutant cells to targeted anti-cancer therapies von Babagana, Mahamat, Kichina, Julia V., Slabodkin, Hannah, Johnson, Sydney, Maslov, Alexei, Brown, Lorin, Attwood, Kristopher, Nikiforov, Mikhail A., Kandel, Eugene S.

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Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction von Robert, Philippe A, Akbar, Rahmad, Frank, Robert, Pavlović, Milena, Widrich, Michael, Snapkov, Igor, Slabodkin, Andrei, Chernigovskaya, Maria, Scheffer, Lonneke, Smorodina, Eva, Rawat, Puneet, Mehta, Brij Bhushan, Vu, Mai Ha, Mathisen, Ingvild Frøberg, Prósz, Aurél, Abram, Krzysztof, Olar, Alex, Miho, Enkelejda, Haug, Dag Trygve Tryslew, Lund-Johansen, Fridtjof, Hochreiter, Sepp, Haff, Ingrid Hobæk, Klambauer, Günter, Sandve, Geir Kjetil, Greiff, Victor

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Global Genotype by Environment Prediction Competition Reveals That Diverse Modeling Strategies Can Deliver Satisfactory Maize Yield Estimates von Washburn, Jacob D, Varela, José Ignacio, Xavier, Alencar, Chen, Qiuyue, Ertl, David, Gage, Joseph L, Holland, James B, Lima, Dayane Cristina, Romay, Maria Cinta, Lopez-Cruz, Marco, de Los Campos, Gustavo, Barber, Wesley, Zimmer, Cristiano, Trucillo Silva, Ignacio, Rocha, Fabiani, Rincent, Renaud, Ali, Baber, Hu, Haixiao, Runcie, Daniel E, Gusev, Kirill, Slabodkin, Andrei, Bax, Phillip, Aubert, Julie, Gangloff, Hugo, Mary-Huard, Tristan, Vanrenterghem, Theodore, Quesada-Traver, Carles, Yates, Steven, Ariza-Suárez, Daniel, Ulrich, Argeo, Wyler, Michele, Kick, Daniel R, Bellis, Emily S, Causey, Jason L, Soriano Chavez, Emilio, Wang, Yixing, Piyush, Ved, Fernando, Gayara D, Hu, Robert K, Kumar, Rachit, Timon, Annan J, Venkatesh, Rasika, Segura Abá, Kenia, Chen, Huan, Ranaweera, Thilanka, Shiu, Shin-Han, Wang, Peiran, Gordon, Max J, Amos, B K, Busato, Sebastiano, Perondi, Daniel, Gogna, Abhishek, Psaroudakis, Dennis, Chen, C P James, Al-Mamun, Hawlader A, Danilevicz, Monica F, Upadhyaya, Shriprabha R, Edwards, David, de Leon, Natalia

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Resolution Complexity of Perfect Matching Principles for Sparse Graphs von Itsykson, Dmitry, Slabodkin, Mikhail, Sokolov, Dmitry

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High-throughput sequencing of Trastuzumab CDRH3 variant yeast display library von Mehta, Brij, Slabodkin, Andrei, Le Quy, Khang, Greiff, Victor, Lund-Johansen, Fridtjof

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DOD reaches first milestone with system's deployment von Slabodkin, Greg

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ARMY LESSONS LEARNED von Slabodkin, Greg

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In silico proof of principle of machine learning-based antibody design at unconstrained scale von Akbar, Rahmad, Robert, Philippe A., Weber, Cédric R., Widrich, Michael, Frank, Robert, Pavlović, Milena, Scheffer, Lonneke, Chernigovskaya, Maria, Snapkov, Igor, Slabodkin, Andrei, Mehta, Brij Bhushan, Miho, Enkelejda, Lund-Johansen, Fridtjof, Andersen, Jan Terje, Hochreiter, Sepp, Hobæk Haff, Ingrid, Klambauer, Günter, Sandve, Geir Kjetil, Greiff, Victor

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