Developability considerations for bispecific and multispecific antibodies by Alaa Amash, Gesa Volkers, Patrick Farber, Daniel Griffin, K. Shawn Davison, Allison Goodman, Raffi Tonikian, Aaron Yamniuk, Bryan Barnhart, Tim Jacobs

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Blueprint for antibody biologics developability by Carl Mieczkowski, Xuejin Zhang, Dana Lee, Khanh Nguyen, Wei Lv, Yanling Wang, Yue Zhang, Jackie Way, Jean-Michel Gries

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Biophysical Analysis of Therapeutic Antibodies in the Early Development Pipeline by Willis LF, Kapur N, Radford SE, Brockwell DJ

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Trends in industrialization of biotherapeutics: a survey of product characteristics of 89 antibody-based biotherapeutics by Kyle P. Martin, Christine Grimaldi, Rolf Grempler, Steven Hansel, Sandeep Kumar

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A comparative study of the developability of full-length antibodies, fragments, and bispecific formats reveals higher stability risks for engineered constructs by Itzel Condado-Morales, Fabian Dingfelder, Isabel Waibel, Oliver M. Turnbull, Bhargav Patel, Zheng Cao, Jais Rose Bjelke, Susanne Nedergaard Grell, Anja Bennet, Alissa M. Hummer, Matthew I. J. Raybould, Charlotte M. Deane, Thomas Egebjerg, Nikolai Lorenzen, Paolo Arosio

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Reduction of monoclonal antibody viscosity using interpretable machine learning by Emily K. Makowski, Hsin-Ting Chen, Tiexin Wang, Lina Wu, Jie Huang, Marissa Mock, Patrick Underhill, Emma Pelegri-O’Day, Erick Maglalang, Dwight Winters, Peter M. Tessier

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Molecular surface descriptors to predict antibody developability: sensitivity to parameters, structure models, and conformational sampling by Eliott Park, Saeed Izadi

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Structure-based engineering of a novel CD3ε-targeting antibody for reduced polyreactivity by Catherine Y Liu, Cory L Ahonen, Michael E Brown, Ling Zhou, Martin Welin, Eric M Krauland, Robert Pejchal, Paul F Widboom, Michael B Battles

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Toward enhancement of antibody thermostability and affinity by computational design in the absence of antigen by Mark Hutchinson, Jeffrey A. Ruffolo, Nantaporn Haskins, Michael Iannotti, Giuliana Vozza, Tony Pham, Nurjahan Mehzabeen, Harini Shandilya, Keith Rickert, Rebecca Croasdale-Wood, Melissa Damschroder, Ying Fu, Andrew Dippel, Jeffrey J. Gray, Gilad Kaplan

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PROPERMAB: an integrative framework for in silico prediction of antibody developability using machine learning by Bian Li, Shukun Luo, Wenhua Wang, Jiahui Xu, Dingjiang Liu, Mohammed Shameem, John Mattila, Matthew C. Franklin, Peter G. Hawkins, Gurinder S. Atwal

Subjects: “…Antibody developability…”
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Assessing developability early in the discovery process for novel biologics by Monica L. Fernández-Quintero, Anne Ljungars, Franz Waibl, Victor Greiff, Jan Terje Andersen, Torleif T. Gjølberg, Timothy P. Jenkins, Bjørn Gunnar Voldborg, Lise Marie Grav, Sandeep Kumar, Guy Georges, Hubert Kettenberger, Klaus R. Liedl, Peter M. Tessier, John McCafferty, Andreas H. Laustsen

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An antibody developability triaging pipeline exploiting protein language models by James Sweet-Jones, Andrew C.R. Martin

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AI-enhanced profiling of phage-display-identified anti-TIM3 and anti-TIGIT novel antibodies by Astrid Musnier, Yannick Corde, Adrien Verdier, Mélanie Cortes, Jean-René Pallandre, Christophe Dumet, Adeline Bouard, AbdelRaouf Keskes, Zakaria Omahdi, Vincent Puard, Anne Poupon, Thomas Bourquard

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Identifying developability risks for clinical progression of antibodies using high-throughput in vitro and in silico approaches by Tushar Jain, Todd Boland, Maximiliano Vásquez

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Enhanced rational protein engineering to reduce viscosity in high-concentration IgG1 antibody solutions by Tyler J. Lefevre, Jenna G. Caldwell, Austin Gallegos, Qun Du, Erin Houston, Gilad Kaplan, Reza Esfandiary

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A next-generation Fab library platform directly yielding drug-like antibodies with high affinity, diversity, and developability by Fortunato Ferrara, Adeline Fanni, Andre A. R. Teixeira, Esteban Molina, Camila Leal-Lopes, Ashley DeAguero, Sara D’Angelo, M. Frank Erasmus, Laura Spector, Luis Antonio Rodriguez Carnero, Jianquan Li, Thomas J. Pohl, Nikolai Suslov, Klervi Desrumeaux, Conor McMahon, Sagar Kathuria, Andrew R. M. Bradbury

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Assessment and incorporation of in vitro correlates to pharmacokinetic outcomes in antibody developability workflows by Tushar Jain, Bianka Prinz, Alexander Marker, Alexander Michel, Katrin Reichel, Valerie Czepczor, Sylvie Klieber, Wei Sun, Sagar Kathuria, Sevim Oezguer Bruederle, Christian Lange, Lena Wahl, Charles Starr, Alessandro Masiero, Lindsay Avery

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A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties by Andrew B. Waight, David Prihoda, Rojan Shrestha, Kevin Metcalf, Marc Bailly, Marco Ancona, Talal Widatalla, Zachary Rollins, Alan C Cheng, Danny A. Bitton, Laurence Fayadat-Dilman

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Development of in silico models to predict viscosity and mouse clearance using a comprehensive analytical data set collected on 83 scaffold-consistent monoclonal antibodies by Marissa Mock, Alex W. Jacobitz, Christopher James Langmead, Athena Sudom, Daniel Yoo, Sara C. Humphreys, Mai Alday, Larysa Alekseychyk, Nicolas Angell, Vivian Bi, Hannah Catterall, Chen-Chun Chen, Hui-Ting Chou, Kip P. Conner, Kevin D. Cook, Ana R. Correia, Andrew Dykstra, Sudipa Ghimire-Rijal, Kevin Graham, Peter Grandsard, Joon Huh, John O. Hui, Mani Jain, Victoria Jann, Lei Jia, Sheree Johnstone, Neelam Khanal, Carl Kolvenbach, Linda Narhi, Rupa Padaki, Emma M. Pelegri-O’Day, Wei Qi, Vladimir Razinkov, Austin J. Rice, Richard Smith, Christopher Spahr, Jennitte Stevens, Yax Sun, Veena A. Thomas, Sarah van Driesche, Robert Vernon, Victoria Wagner, Kenneth W. Walker, Yangjie Wei, Dwight Winters, Melissa Yang, Iain D. G. Campuzano

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Exploring molecular determinants and pharmacokinetic properties of IgG1-scFv bispecific antibodies by Kristina M.J. Aertker, Minu Ravindra Pilvankar, Tobias M. Prass, Michaela Blech, Fabian Higel, Srinath Kasturirangan

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