Results 21 to 30 of about 3,538 (271)

AI/ML combined with next-generation sequencing of VHH immune repertoires enables the rapid identification of de novo humanized and sequence-optimized single domain antibodies: a prospective case study

Frontiers in Molecular Biosciences, 2023
Introduction: In this study, we demonstrate the feasibility of yeast surface display (YSD) and nextgeneration sequencing (NGS) in combination with artificial intelligence and machine learning methods (AI/ML) for the identification of de novo humanized ...
Paul Arras, Paul Arras, Han Byul Yoo, Lukas Pekar, Thomas Clarke, Lukas Friedrich, Christian Schröter, Jennifer Schanz, Jason Tonillo, Vanessa Siegmund, Achim Doerner, Simon Krah, Enrico Guarnera, Stefan Zielonka, Stefan Zielonka, Andreas Evers   +15 more
doaj   +1 more source

Accelerating therapeutic protein design with computational approaches toward the clinical stage

Computational and Structural Biotechnology Journal, 2023
Therapeutic protein, represented by antibodies, is of increasing interest in human medicine. However, clinical translation of therapeutic protein is still largely hindered by different aspects of developability, including affinity and selectivity ...
Zhidong Chen, Xinpei Wang, Xu Chen, Juyang Huang, Chenglin Wang, Junqing Wang, Zhe Wang   +6 more
doaj   +1 more source

Separating clinical antibodies from repertoire antibodies, a path to in silico developability assessment

mAbs, 2022
Approaches for antibody discovery have seen substantial improvement and success in recent years. Yet, advancing antibodies into the clinic remains difficult because therapeutic developability concerns are challenging to predict.
Christopher Negron, Joyce Fang, Michael J. McPherson, W. Blaine Stine, Andrew J. McCluskey   +4 more
doaj   +1 more source

The Development of "Development" [PDF]

Indonesia, 1988
Approaching the end of the twentieth century, the majority of us who have had some schooling are accustomed to see the sun rise over the eastern horizon every morning. And we believe our perceptions, even though the sun has never risen over any horizon whatsoever.
Ariel Heryanto, Nancy Lutz
openaire   +1 more source

Design of developable surface via CSA-based modification of boundary curves

Journal of Advanced Mechanical Design, Systems, and Manufacturing, 2020
In this paper, we present a new method for generating high-accuracy developable surface from two design curves via crow search algorithm (CSA) based modification of design curves.
Huanxin CAO, Hongchan ZHENG, Gang HU
doaj   +1 more source

Machine learning prediction of methionine and tryptophan photooxidation susceptibility

Molecular Therapy: Methods & Clinical Development, 2021
Photooxidation of methionine (Met) and tryptophan (Trp) residues is common and includes major degradation pathways that often pose a serious threat to the success of therapeutic proteins.
Jared A. Delmar, Eugen Buehler, Ashwin K. Chetty, Agastya Das, Guillermo Miro Quesada, Jihong Wang, Xiaoyu Chen   +6 more
doaj   +1 more source

land developability

The data contain the land developability index at the county level in the ...
Chi, Guangqing, Hung Chak Ho
core   +3 more sources

Predicting Agitation Stability of Monoclonal Antibodies during Developability Assessment. [PDF]

Mol Pharm
Developability assessment facilitates the selection of antibody drug candidates with desirable pharmaceutical properties. However, it remains uncertain whether agitation-induced aggregation can be predicted from standard developability parameters.
Cohrs M, Pagureva N, Ozbulak U, De Neve W, Braeckmans K, De Smedt S, Tcholakova S, Vinarov Z, Svilenov HL.   +8 more
europepmc   +2 more sources

In silico prediction of post-translational modifications in therapeutic antibodies

mAbs, 2022
Monoclonal antibodies are susceptible to chemical and enzymatic modifications during manufacturing, storage, and shipping. Deamidation, isomerization, and oxidation can compromise the potency, efficacy, and safety of therapeutic antibodies.
Shabdita Vatsa
doaj   +1 more source

Characterization and Modeling of Reversible Antibody Self-Association Provide Insights into Behavior, Prediction, and Correction

Antibodies, 2021
Reversible antibody self-association, while having major developability and therapeutic implications, is not fully understood or readily predictable and correctable.
Carl Mieczkowski, Alan Cheng, Thierry Fischmann, Mark Hsieh, Jeanne Baker, Makiko Uchida, Gopalan Raghunathan, Corey Strickland, Laurence Fayadat-Dilman   +8 more
doaj   +1 more source