Structural pre-training improves physical accuracy of antibody structure prediction using deep learning. by Jarosław Kończak, Bartosz Janusz, Jakub Młokosiewicz, Tadeusz Satława, Sonia Wróbel, Paweł Dudzic, Konrad Krawczyk

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How to think about designing smart antibodies in the age of genAI: integrating biology, technology, and experience by Andrew Buchanan, Eric Bennett, Rebecca Croasdale-Wood, Andreas Evers, Brian Fennell, Norbert Furtmann, Konrad Krawczyk, Sandeep Kumar, Christopher James Langmead, Melody Shahsavarian, Christine Elaine Tinberg

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Applying computational protein design to therapeutic antibody discovery - current state and perspectives by Weronika Bielska, Weronika Bielska, Igor Jaszczyszyn, Igor Jaszczyszyn, Pawel Dudzic, Bartosz Janusz, Dawid Chomicz, Sonia Wrobel, Victor Greiff, Victor Greiff, Ryan Feehan, Jared Adolf-Bryfogle, Konrad Krawczyk

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Large-scale data mining of four billion human antibody variable regions reveals convergence between therapeutic and natural antibodies that constrains search space for biologics dr... by Pawel Dudzic, Dawid Chomicz, Jarosław Kończak, Tadeusz Satława, Bartosz Janusz, Sonia Wrobel, Tomasz Gawłowski, Igor Jaszczyszyn, Weronika Bielska, Samuel Demharter, Roberto Spreafico, Lukas Schulte, Kyle Martin, Stephen R. Comeau, Konrad Krawczyk

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