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9 results on '"Jaszczyszyn, Igor"'

1. Large-scale data mining of four billion human antibody variable regions reveals convergence between therapeutic and natural antibodies that constrains search space for biologics drug discovery

Author

Dudzic, Pawel, primary, Chomicz, Dawid, additional, Kończak, Jarosław, additional, Satława, Tadeusz, additional, Janusz, Bartosz, additional, Wrobel, Sonia, additional, Gawłowski, Tomasz, additional, Jaszczyszyn, Igor, additional, Bielska, Weronika, additional, Demharter, Samuel, additional, Spreafico, Roberto, additional, Schulte, Lukas, additional, Martin, Kyle, additional, Comeau, Stephen R., additional, and Krawczyk, Konrad, additional

Published
2024
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2. Predictors of Long-Term Outcomes After Liver Transplantation for Unresectable Metastatic Neuroendocrine Tumors

Author

Kuncewicz, Mikołaj, primary, Jaszczyszyn, Igor Piotr, additional, Karaban, Kacper, additional, Rykowski, Paweł, additional, Krasnodębski, Maciej, additional, Morawski, Marcin, additional, Kruk, Emilia, additional, Koperski, Łukasz, additional, Zieniewicz, Krzysztof, additional, Krawczyk, Marek, additional, and Grąt, Michał, additional

Published
2023
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3. Alpha-Fetoprotein Response after First Transarterial Chemoembolization (TACE) and Complete Pathologic Response in Patients with Hepatocellular Cancer

Author

Masior, Łukasz, primary, Krasnodębski, Maciej, additional, Kuncewicz, Mikołaj, additional, Karaban, Kacper, additional, Jaszczyszyn, Igor, additional, Kruk, Emilia, additional, Małecka-Giełdowska, Milena, additional, Korzeniowski, Krzysztof, additional, Figiel, Wojciech, additional, Krawczyk, Marek, additional, Wróblewski, Tadeusz, additional, and Grąt, Michał, additional

Published
2023
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4. Structural modeling of antibody variable regions using deep learning—progress and perspectives on drug discovery

Author

Jaszczyszyn, Igor, primary, Bielska, Weronika, additional, Gawlowski, Tomasz, additional, Dudzic, Pawel, additional, Satława, Tadeusz, additional, Kończak, Jarosław, additional, Wilman, Wiktoria, additional, Janusz, Bartosz, additional, Wróbel, Sonia, additional, Chomicz, Dawid, additional, Galson, Jacob D., additional, Leem, Jinwoo, additional, Kelm, Sebastian, additional, and Krawczyk, Konrad, additional

Published
2023
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5. Machine-designed biotherapeutics: opportunities, feasibility and advantages of deep learning in computational antibody discovery

Author

Wilman, Wiktoria, primary, Wróbel, Sonia, additional, Bielska, Weronika, additional, Deszynski, Piotr, additional, Dudzic, Paweł, additional, Jaszczyszyn, Igor, additional, Kaniewski, Jędrzej, additional, Młokosiewicz, Jakub, additional, Rouyan, Anahita, additional, Satława, Tadeusz, additional, Kumar, Sandeep, additional, Greiff, Victor, additional, and Krawczyk, Konrad, additional

Published
2022
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9. INDI-integrated nanobody database for immunoinformatics.

Author

Deszyński P, Młokosiewicz J, Volanakis A, Jaszczyszyn I, Castellana N, Bonissone S, Ganesan R, and Krawczyk K

Subjects
Amino Acid Sequence genetics, Animals, Antibodies classification, Antibodies immunology, Camelidae classification, Humans, Immunotherapy classification, Neoplasms immunology, Single-Domain Antibodies classification, Camelidae immunology, Databases, Genetic, Neoplasms therapy, Single-Domain Antibodies immunology
Abstract

Nanobodies, a subclass of antibodies found in camelids, are versatile molecular binding scaffolds composed of a single polypeptide chain. The small size of nanobodies bestows multiple therapeutic advantages (stability, tumor penetration) with the first therapeutic approval in 2018 cementing the clinical viability of this format. Structured data and sequence information of nanobodies will enable the accelerated clinical development of nanobody-based therapeutics. Though the nanobody sequence and structure data are deposited in the public domain at an accelerating pace, the heterogeneity of sources and lack of standardization hampers reliable harvesting of nanobody information. We address this issue by creating the Integrated Database of Nanobodies for Immunoinformatics (INDI, http://naturalantibody.com/nanobodies). INDI collates nanobodies from all the major public outlets of biological sequences: patents, GenBank, next-generation sequencing repositories, structures and scientific publications. We equip INDI with powerful nanobody-specific sequence and text search facilitating access to >11 million nanobody sequences. INDI should facilitate development of novel nanobody-specific computational protocols helping to deliver on the therapeutic promise of this drug format., (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)

Published
2022
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