3D RNA and Functional Interactions from Evolutionary Couplings von Weinreb, Caleb, Riesselman, Adam J., Ingraham, John B., Gross, Torsten, Sander, Chris, Marks, Debora S.

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Deep generative models of genetic variation capture the effects of mutations von Riesselman, Adam J., Ingraham, John B., Marks, Debora S.

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Protein design and variant prediction using autoregressive generative models von Shin, Jung-Eun, Riesselman, Adam J., Kollasch, Aaron W., McMahon, Conor, Simon, Elana, Sander, Chris, Manglik, Aashish, Kruse, Andrew C., Marks, Debora S.

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The EVcouplings Python framework for coevolutionary sequence analysis von Hopf, Thomas A, Green, Anna G, Schubert, Benjamin, Mersmann, Sophia, Schärfe, Charlotta P I, Ingraham, John B, Toth-Petroczy, Agnes, Brock, Kelly, Riesselman, Adam J, Palmedo, Perry, Kang, Chan, Sheridan, Robert, Draizen, Eli J, Dallago, Christian, Sander, Chris, Marks, Debora S

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Simultaneous enhancement of multiple functional properties using evolution-informed protein design von Fram, Benjamin, Su, Yang, Truebridge, Ian, Riesselman, Adam J., Ingraham, John B., Passera, Alessandro, Napier, Eve, Thadani, Nicole N., Lim, Samuel, Roberts, Kristen, Kaur, Gurleen, Stiffler, Michael A., Marks, Debora S., Bahl, Christopher D., Khan, Amir R., Sander, Chris, Gauthier, Nicholas P.

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Constitutive or seed‐specific overexpression of Arabidopsis G‐protein γ subunit 3 (AGG3) results in increased seed and oil production and improved stress tolerance in Camelina sati... von Roy Choudhury, Swarup, Riesselman, Adam J., Pandey, Sona

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Large-scale recoding of a bacterial genome by iterative recombineering of synthetic DNA von Lau, Yu Heng, Stirling, Finn, Kuo, James, Karrenbelt, Michiel A P, Chan, Yujia A, Riesselman, Adam, Horton, Connor A, Schäfer, Elena, Lips, David, Weinstock, Matthew T, Gibson, Daniel G, Way, Jeffrey C, Silver, Pamela A

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The future of cerebral organoids in drug discovery von Salick, Max R., Lubeck, Eric, Riesselman, Adam, Kaykas, Ajamete

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The EVcouplings Python framework for coevolutionary sequence analysis von Hopf, Thomas A., Green, Anna G., Schubert, Benjamin, Mersmann, Sophia, Schärfe, Charlotta P. I., Ingraham, John B., Toth-Petroczy, Agnes, Brock, Kelly, Riesselman, Adam J., Palmedo, Perry, Kang, Chan, Sheridan, Robert, Draizen, Eli J., Dallago, Christian, Sander, Chris, Marks, Debora S.

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Protein Structure from Experimental Evolution von Stiffler, Michael A., Poelwijk, Frank J., Brock, Kelly P., Stein, Richard R., Riesselman, Adam, Teyra, Joan, Sidhu, Sachdev S., Marks, Debora S., Gauthier, Nicholas P., Sander, Chris

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Constitutive or seed‐specific overexpression of A rabidopsis G ‐protein γ subunit 3 ( AGG 3 ) results in increased seed and oil production and improved stress tolerance in C amelin... von Roy Choudhury, Swarup, Riesselman, Adam J., Pandey, Sona

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Constitutive or seed-specific overexpression of Arabidopsis G-protein [gamma] subunit 3 (AGG3) results in increased seed and oil production and improved stress tolerance in Camelin... von Roy Choudhury, Swarup, Riesselman, Adam J, Pandey, Sona

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Building maps from genetic sequences to biological function von Riesselman, Adam Joseph

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HIGH-RESOLUTION ENVIRONMENTAL SENSOR IMPUTATION USING MACHINE LEARNING von Meeussen, Wim, Riesselman, Adam

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GROW SPACE INTEGRATION FOR MOBILE ROBOTS von WIRTH, CHELSEA, RIESSELMAN, ADAM, MEEUSSEN, WIM, JONES, EDWARD, LaRUE, THERESE

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Deep generative models of genetic variation capture mutation effects von Riesselman, Adam J, Ingraham, John B, Marks, Debora S

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MACHINE LEARNING PIPELINE USING DNA-ENCODED LIBRARY SELECTIONS von Ma, Ralph, Sultan, Mohammad Muneeb, Riesselman, Adam, Dreiman, Gabriel, Liu, Bowen, Ruggiu, Fiorella

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MACHINE LEARNING PIPELINE USING DNA-ENCODED LIBRARY SELECTIONS von DREIMAN, Gabriel, RIESSELMAN, Adam, RUGGIU, Fiorella, MA, Ralph, SULTAN, Mohammad Muneeb, LIU, Bowen

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PREDICTING DISEASE OUTCOMES USING MACHINE LEARNED MODELS von SALICK, Max, R, KOLLER, Daphne, KAYKAS, Ajamete, STANITSAS, Panagiotis Dimitrios, SHARON, Eilon, RIESSELMAN, Adam, Joseph, KATEGAYA, Lorn, COTTA-RAMUSINO, Cecilia, Giovanna, Silvia, CASALE, Francesco Paolo, SULTAN, Mohammad Muneeb, PALMEDO, Peter, Franklin, Jr

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PREDICTING DISEASE OUTCOMES USING MACHINE LEARNED MODELS von SALICK, Max, R, KOLLER, Daphne, KAYKAS, Ajamete, STANITSAS, Panagiotis Dimitrios, SHARON, Eilon, RIESSELMAN, Adam, Joseph, KATEGAYA, Lorn, COTTA-RAMUSINO, Cecilia, Giovanna, Silvia, CASALE, Francesco Paolo, SULTAN, Mohammad Muneeb, PALMEDO, Peter, Franklin, Jr

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