Results 21 to 30 of about 16,267,247 (278)

Molecular surface descriptors to predict antibody developability: sensitivity to parameters, structure models, and conformational sampling

mAbs, 2023
In silico assessment of antibody developability during early lead candidate selection and optimization is of paramount importance, offering a rapid and material-free screening approach.
Eliott Park, Saeed Izadi
doaj   +2 more sources

Biologics developability data analysis using hierarchical clustering accelerates candidate lead selection, optimization, and preformulation screening. [PDF]

MAbs
Identification of an optimal single protein sequence at the discovery stage for preclinical and clinical development is critical to the rapid development and overall success of a biologic drug.
Metcalf KJ, Wo G, Zaragoza JP, Raoufi F, Baker J, Chen D, Derebe M, Hogan J, Hsu A, Kofman E, Leigh D, Li M, Malashock D, Mann C, Motlagh S, Park J, Sathiyamoorthy K, Shidhore M, Tang Y, Teng K, Williams K, Waight A, Yilmaz S, Zhang F, Zhong H, Fayadat-Dilman L, Bailly M.   +26 more
europepmc   +2 more sources

Developability profiling of a panel of Fc engineered SARS-CoV-2 neutralizing antibodies

mAbs, 2023
To combat the COVID-19 pandemic, potential therapies have been developed and moved into clinical trials at an unprecedented pace. Some of the most promising therapies are neutralizing antibodies against SARS-CoV-2.
Andrew Dippel, Austin Gallegos, Vineela Aleti, Arnita Barnes, Xiaoru Chen, Elizabeth Christian, Jared Delmar, Qun Du, Reza Esfandiary, Erika Farmer, Andrew Garcia, Qing Li, Jia Lin, Weiyi Liu, LeeAnn Machiesky, Neil Mody, Arun Parupudi, Meagan Prophet, Keith Rickert, Kim Rosenthal, Song Ren, Harini Shandilya, Reena Varkey, Kevin Wons, Yuling Wu, Yueh-Ming Loo, Mark T. Esser, Nicole L. Kallewaard, Sarav Rajan, Melissa Damschroder, Weichen Xu, Gilad Kaplan   +31 more
doaj   +2 more sources

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

Contextualising the developability risk of antibodies with lambda light chains using enhanced therapeutic antibody profiling

bioRxiv, 2023
Antibodies with lambda light chains (λ-antibodies) are generally considered to be less developable than those with kappa light chains (κ-antibodies), leading to substantial systematic biases in drug discovery pipelines.
M. Raybould, Oliver M. Turnbull, Annabel Suter, Bora Guloglu, C. Deane   +4 more
semanticscholar   +1 more source

A machine learning strategy for the identification of key in silico descriptors and prediction models for IgG monoclonal antibody developability properties

mAbs, 2023
Identification of favorable biophysical properties for protein therapeutics as part of developability assessment is a crucial part of the preclinical development process.
A. Waight, David Prihoda, Rojan Shrestha, K. Metcalf, M. Bailly, Marco Ancona, Talal Widatalla, Zachary A. Rollins, Alan C. Cheng, Danny A. Bitton, Laurence Fayadat-Dilman   +10 more
semanticscholar   +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

Impact of IgG subclass on monoclonal antibody developability

mAbs, 2023
IgG-based monoclonal antibody therapeutics, which are mainly IgG1, IgG2, and IgG4 subclasses or related variants, have dominated the biotherapeutics field for decades.
P. Cain, Lihua Huang, Y. Tang, Victor Anguiano, Yiqing Feng   +4 more
semanticscholar   +1 more source

PEP-Patch: Electrostatics in Protein–Protein Recognition, Specificity, and Antibody Developability

bioRxiv, 2023
The electrostatic properties of proteins arise from the number and distribution of polar and charged residues. Due to their long-ranged nature, electrostatic interactions in proteins play a critical role in numerous processes, such as molecular ...
Franz Waibl, Nancy D. Pomarici, Valentin J. Hoerschinger, J. R. Loeffler, C. Deane, G. Georges, H. Kettenberger, M. Fernández-Quintero, K. Liedl   +8 more
semanticscholar   +1 more source