The H3 loop of antibodies shows unique structural characteristics von Regep, Cristian, Georges, Guy, Shi, Jiye, Popovic, Bojana, Deane, Charlotte M.

Volltext

Utilizing graph machine learning within drug discovery and development von Gaudelet, Thomas, Day, Ben, Jamasb, Arian R., Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B. R., Vickers, Richard, Roberts, Charles, Tang, Jian, Roblin, David, Blundell, Tom L., Bronstein, Michael M., Taylor-King, Jake P.

Volltext

SAbPred: a structure-based antibody prediction server von Dunbar, James, Krawczyk, Konrad, Leem, Jinwoo, Marks, Claire, Nowak, Jaroslaw, Regep, Cristian, Georges, Guy, Kelm, Sebastian, Popovic, Bojana, Deane, Charlotte M

Volltext

Structurally Mapping Antibody Repertoires von Krawczyk, Konrad, Kelm, Sebastian, Kovaltsuk, Aleksandr, Galson, Jacob D, Kelly, Dominic, Trück, Johannes, Regep, Cristian, Leem, Jinwoo, Wong, Wing K, Nowak, Jaroslaw, Snowden, James, Wright, Michael, Starkie, Laura, Scott-Tucker, Anthony, Shi, Jiye, Deane, Charlotte M

Volltext

Ten simple rules for surviving an interdisciplinary PhD von Demharter, Samuel, Pearce, Nicholas, Beattie, Kylie, Frost, Isabel, Leem, Jinwoo, Martin, Alistair, Oppenheimer, Robert, Regep, Cristian, Rukat, Tammo, Skates, Alexander, Trendel, Nicola, Gavaghan, David J, Deane, Charlotte M, Knapp, Bernhard

Volltext

RECOVER identifies synergistic drug combinations in vitro through sequential model optimization von Bertin, Paul, Rector-Brooks, Jarrid, Sharma, Deepak, Gaudelet, Thomas, Anighoro, Andrew, Gross, Torsten, Martínez-Peña, Francisco, Tang, Eileen L., Suraj, M.S., Regep, Cristian, Hayter, Jeremy B.R., Korablyov, Maksym, Valiante, Nicholas, van der Sloot, Almer, Tyers, Mike, Roberts, Charles E.S., Bronstein, Michael M., Lairson, Luke L., Taylor-King, Jake P., Bengio, Yoshua

Volltext

A community effort to track commercial single-cell and spatial ’omic technologies and business trends von De Jonghe, Joachim, Opzoomer, James W., Vilas-Zornoza, Amaia, Crane, Peter, Nilges, Benedikt S., Vicari, Marco, Lee, Hower, Lara-Astiaso, David, Gross, Torsten, Morf, Jörg, Schneider, Kim, Cudini, Juliana, Ramos-Mucci, Lorenzo, Mooijman, Dylan, Tiklová, Katarína, Salas, Sergio Marco, Langseth, Christoffer Mattsson, Kashikar, Nachiket D., Roberts, Charles E. S., Lundeberg, Joakim, Nilsson, Mats, Shalek, Alex K., Cribbs, Adam P., Taylor-King, Jake P.

Volltext

Utilizing graph machine learning within drug discovery and development von Gaudelet, Thomas, Day, Ben, Jamasb, Arian R., Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B. R., Vickers, Richard, Roberts, Charles, Tang, Jian, Roblin, David, Blundell, Tom L., Bronstein, Michael M., Taylor-King, Jake P.

Volltext

Structurally Mapping Antibody Repertoires von Krawczyk, Konrad, Kelm, Sebastian, Kovaltsuk, Aleksandr, Galson, Jacob D, Kelly, Dominic, Trück, Johannes, Regep, Cristian, Leem, Jinwoo, Wong, Wing K, Nowak, Jaroslaw, Snowden, James, Wright, Michael, Starkie, Laura, Scott-Tucker, Anthony, Shi, Jiye, Deane, Charlotte M

Volltext

Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data von Taylor-King, Jake P, Regep, Cristian, Soman, Jyothish, Tong, Flawnson, Cangea, Catalina, Roberts, Charlie

Volltext bestellen

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery von John, Peter St, Lin, Dejun, Binder, Polina, Greaves, Malcolm, Shah, Vega, John, John St, Lange, Adrian, Hsu, Patrick, Illango, Rajesh, Ramanathan, Arvind, Anandkumar, Anima, Brookes, David H, Busia, Akosua, Mahajan, Abhishaike, Malina, Stephen, Prasad, Neha, Sinai, Sam, Edwards, Lindsay, Gaudelet, Thomas, Regep, Cristian, Steinegger, Martin, Rost, Burkhard, Brace, Alexander, Hippe, Kyle, Naef, Luca, Kamata, Keisuke, Armstrong, George, Boyd, Kevin, Cao, Zhonglin, Chou, Han-Yi, Chu, Simon, Costa, Allan dos Santos, Darabi, Sajad, Dawson, Eric, Didi, Kieran, Fu, Cong, Geiger, Mario, Gill, Michelle, Hsu, Darren, Kaushik, Gagan, Korshunova, Maria, Kothen-Hill, Steven, Lee, Youhan, Liu, Meng, Livne, Micha, McClure, Zachary, Mitchell, Jonathan, Moradzadeh, Alireza, Mosafi, Ohad, Nashed, Youssef, Paliwal, Saee, Peng, Yuxing, Rabhi, Sara, Ramezanghorbani, Farhad, Reidenbach, Danny, Ricketts, Camir, Roland, Brian, Shah, Kushal, Shimko, Tyler, Sirelkhatim, Hassan, Srinivasan, Savitha, Stern, Abraham C, Toczydlowska, Dorota, Veccham, Srimukh Prasad, Venanzi, Niccolò Alberto Elia, Vorontsov, Anton, Wilber, Jared, Wilkinson, Isabel, Wong, Wei Jing, Xue, Eva, Ye, Cory, Yu, Xin, Zhang, Yang, Zhou, Guoqing, Zandstein, Becca, Dallago, Christian, Trentini, Bruno, Kucukbenli, Emine, Rvachov, Timur, Calleja, Eddie, Israeli, Johnny, Clifford, Harry, Haukioja, Risto, Haemel, Nicholas, Tretina, Kyle, Tadimeti, Neha, Costa, Anthony B

Volltext bestellen

RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro von Bertin, Paul, Rector-Brooks, Jarrid, Sharma, Deepak, Gaudelet, Thomas, Anighoro, Andrew, Gross, Torsten, Martinez-Pena, Francisco, Tang, Eileen L, S, Suraj M, Regep, Cristian, Hayter, Jeremy, Korablyov, Maksym, Valiante, Nicholas, van der Sloot, Almer, Tyers, Mike, Roberts, Charles, Bronstein, Michael M, Lairson, Luke L, Taylor-King, Jake P, Bengio, Yoshua

Volltext bestellen

Utilising Graph Machine Learning within Drug Discovery and Development von Gaudelet, Thomas, Day, Ben, Jamasb, Arian R, Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B. R, Vickers, Richard, Roberts, Charles, Tang, Jian, Roblin, David, Blundell, Tom L, Bronstein, Michael M, Taylor-King, Jake P

Volltext bestellen

Sparse Dynamic Distribution Decomposition: Efficient Integration of Trajectory and Snapshot Time Series Data von Taylor-King, Jake P, Regep, Cristian, Soman, Jyothish, Tong, Flawnson, Cangea, Catalina, Roberts, Charlie

Volltext

BioNeMo Framework: a modular, high-performance library for AI model development in drug discovery von Peter St John, Lin, Dejun, Binder, Polina, Greaves, Malcolm, Shah, Vega, John St John, Lange, Adrian, Hsu, Patrick, Illango, Rajesh, Ramanathan, Arvind, Anandkumar, Anima, Brookes, David H, Busia, Akosua, Mahajan, Abhishaike, Malina, Stephen, Prasad, Neha, Sinai, Sam, Edwards, Lindsay, Gaudelet, Thomas, Regep, Cristian, Steinegger, Martin, Rost, Burkhard, Brace, Alexander, Hippe, Kyle, Naef, Luca, Kamata, Keisuke, Armstrong, George, Boyd, Kevin, Cao, Zhonglin, Han-Yi, Chou, Chu, Simon, dos Santos Costa, Allan, Darabi, Sajad, Dawson, Eric, Kieran Didi, Fu, Cong, Geiger, Mario, Gill, Michelle, Hsu, Darren, Kaushik, Gagan, Korshunova, Maria, Kothen-Hill, Steven, Lee, Youhan, Liu, Meng, Livne, Micha, McClure, Zachary, Mitchell, Jonathan, Moradzadeh, Alireza, Mosafi, Ohad, Nashed, Youssef, Paliwal, Saee, Peng, Yuxing, Rabhi, Sara, Ramezanghorbani, Farhad, Reidenbach, Danny, Ricketts, Camir, Roland, Brian, Shah, Kushal, Shimko, Tyler, Sirelkhatim, Hassan, Srinivasan, Savitha, Stern, Abraham C, Toczydlowska, Dorota, Srimukh Prasad Veccham, Niccolò Alberto Elia Venanzi, Vorontsov, Anton, Wilber, Jared, Wilkinson, Isabel, Wei Jing Wong, Xue, Eva, Ye, Cory, Yu, Xin, Zhang, Yang, Zhou, Guoqing, Zandstein, Becca, Dallago, Christian, Trentini, Bruno, Kucukbenli, Emine, Rvachov, Timur, Calleja, Eddie, Israeli, Johnny, Clifford, Harry, Haukioja, Risto, Haemel, Nicholas, Tretina, Kyle, Tadimeti, Neha, Costa, Anthony B

Volltext

RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro von Bertin, Paul, Rector-Brooks, Jarrid, Sharma, Deepak, Gaudelet, Thomas, Anighoro, Andrew, Gross, Torsten, Martinez-Pena, Francisco, Tang, Eileen L, Suraj, M S, Regep, Cristian, Hayter, Jeremy, Korablyov, Maksym, Valiante, Nicholas, Almer van der Sloot, Tyers, Mike, Roberts, Charles, Bronstein, Michael M, Lairson, Luke L, Taylor-King, Jake P, Bengio, Yoshua

Volltext

Utilising Graph Machine Learning within Drug Discovery and Development von Gaudelet, Thomas, Day, Ben, Jamasb, Arian R, Soman, Jyothish, Regep, Cristian, Liu, Gertrude, Hayter, Jeremy B R, Vickers, Richard, Roberts, Charles, Tang, Jian, Roblin, David, Blundell, Tom L, Bronstein, Michael M, Taylor-King, Jake P

Volltext