Zobrazeno 1 - 10
of 246
pro vyhledávání: '"Sormanni, P"'
Autor:
Lawrence, Elsa, El-Shazly, Adham, Seal, Srijit, Joshi, Chaitanya K, Liò, Pietro, Singh, Shantanu, Bender, Andreas, Sormanni, Pietro, Greenig, Matthew
Modern life sciences research is increasingly relying on artificial intelligence approaches to model biological systems, primarily centered around the use of machine learning (ML) models. Although ML is undeniably useful for identifying patterns in l
Externí odkaz:
http://arxiv.org/abs/2403.04106
Autor:
Ucar, Talip, Ramon, Aubin, Oglic, Dino, Croasdale-Wood, Rebecca, Diethe, Tom, Sormanni, Pietro
We investigate the potential of patent data for improving the antibody humanness prediction using a multi-stage, multi-loss training process. Humanness serves as a proxy for the immunogenic response to antibody therapeutics, one of the major causes o
Externí odkaz:
http://arxiv.org/abs/2401.14442
Score-based generative models (SGMs) have proven to be powerful tools for designing new proteins. Designing proteins that bind a pre-specified target is highly relevant to a range of medical and industrial applications. Despite the flurry of new SGMs
Externí odkaz:
http://arxiv.org/abs/2310.07051
Publikováno v:
Open Biology, Vol 14, Iss 5 (2024)
Most successes in computational protein engineering to date have focused on enhancing one biophysical trait, while multi-trait optimization remains a challenge. Different biophysical properties are often conflicting, as mutations that improve one ten
Externí odkaz:
https://doaj.org/article/8ffedd5c6a95449f880744967c3da0b7
Sequence-based prediction of the intrinsic solubility of peptides containing non-natural amino acids
Autor:
Marc Oeller, Ryan J. D. Kang, Hannah L. Bolt, Ana L. Gomes dos Santos, Annika Langborg Weinmann, Antonios Nikitidis, Pavol Zlatoidsky, Wu Su, Werngard Czechtizky, Leonardo De Maria, Pietro Sormanni, Michele Vendruscolo
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-12 (2023)
Abstract Non-natural amino acids are increasingly used as building blocks in the development of peptide-based drugs as they expand the available chemical space to tailor function, half-life and other key properties. However, while the chemical space
Externí odkaz:
https://doaj.org/article/0caac934400240c99334cfb366d281f4
Publikováno v:
mAbs, Vol 15, Iss 1 (2023)
ABSTRACTAntibody drugs should exhibit not only high-binding affinity for their target antigens but also favorable physicochemical drug-like properties. Such drug-like biophysical properties are essential for the successful development of antibody dru
Externí odkaz:
https://doaj.org/article/375ca2578f7d4343a49f80dafa044d39
Autor:
Angelo Rosace, Anja Bennett, Marc Oeller, Mie M. Mortensen, Laila Sakhnini, Nikolai Lorenzen, Christian Poulsen, Pietro Sormanni
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Antibodies find key applications in research, diagnostics, and therapeutics, but their development can be impeded by poor stability or solubility. Here the authors developed a computational strategy that enables antibody optimisation, without affecti
Externí odkaz:
https://doaj.org/article/1130c0e57b5e4de4ab65ffe227965175
Antibodies are a critical part of the immune system, having the function of directly neutralising or tagging undesirable objects (the antigens) for future destruction. Being able to predict which amino acids belong to the paratope, the region on the
Externí odkaz:
http://arxiv.org/abs/1806.04398
Autor:
Rahul Khetan, Robin Curtis, Charlotte M. Deane, Johannes Thorling Hadsund, Uddipan Kar, Konrad Krawczyk, Daisuke Kuroda, Sarah A. Robinson, Pietro Sormanni, Kouhei Tsumoto, Jim Warwicker, Andrew C.R. Martin
Publikováno v:
mAbs, Vol 14, Iss 1 (2022)
Therapeutic monoclonal antibodies and their derivatives are key components of clinical pipelines in the global biopharmaceutical industry. The availability of large datasets of antibody sequences, structures, and biophysical properties is increasingl
Externí odkaz:
https://doaj.org/article/c03a214cecc447edb4481e81ade59152
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