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Articles by Mingkai Wang
Composite MOF hydrogel reprograms bacterial pigment metabolism for eliminating antibiotic-tolerant bacteria
Keywords MRSA antibiotic tolerance bacterial pigment metabolism MOF phototherapy hydrogel thymol vancomycin cuproptosis biofilm Introduction Recently, the inappropriate use of antibiotics has led to a significant increase in multidrug-resistant bacterial infections, posing a major public health threat.
DDGWizard: Integration of feature calculation resources for analysis and prediction of changes in protein thermostability upon point mutations
Discussion Thermostability has a significant impact on the broad applications of proteins. Continuous efforts have been made to increase protein thermostability, employing various strategies, such as rational design or semi-rational design. Since prediction can estimate the impact of mutations on thermostability in advance, it has become a powerful tool for rational or semi-rational design.
High-Affinity Fully Human Anti-EpCAM Antibody with Biased IL-2 Exhibits Potent Antitumor Activity
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
Author Correction: Pretrainable geometric graph neural network for antibody affinity maturation - Nature Communications
Correction to: Nature Communications https://doi.org/10.1038/s41467-024-51563-8, published online 6 September 2024 The original version of this Article omitted the Acknowledgements: ‘T.Y. was supported by grants from the National Key R&D Program of China (2019YFA0904400).’ The original article has not been corrected.
Pretrainable geometric graph neural network for antibody affinity maturation - Nature Communications
Abstract Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity maturation.
Pretrainable Geometric Graph Neural Network for Antibody Affinity Maturation
Abstract Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity maturation.
Pretrainable Geometric Graph Neural Network for Antibody Affinity Maturation
Abstract Increasing the binding affinity of an antibody to its target antigen is a crucial task in antibody therapeutics development. This paper presents a pretrainable geometric graph neural network, GearBind, and explores its potential in in silico affinity maturation.
Electric Flight in Extreme and Uncertain Urban Environments
1.2. Literature Review It is worth noting that the term “extreme” does not refer to the worst flight conditions at arbitrary locations or altitude but is, rather, limited to the urban airspace. For instance, high-latitude regions such as Norway intend to replace their current commuter aviation networks with electrified aircraft []. In that case, the mean-sea-level temperature is relatively low, let alone the lower values in cruise flight.
Pretrainable Geometric Graph Neural Network for Antibody Affinity Maturation
Abstract In the realm of antibody therapeutics development, increasing the binding affinity of an antibody to its target antigen is a crucial task. This paper presents GearBind, a pretrainable deep neural network designed to be effective for in silico affinity maturation.
Quantitative Tissue Elasticity Measurement of Human Cadaver Oesophagus by Using Vibrational Optical Coherence Elastography
This is an early access version, the complete PDF, HTML, and XML versions will be available soon. Open AccessArticle by Mingkai Wang 1, Jiaxuan Li 1,†, Mihrican Boga 2,†, Luke Reid 2,*, Chunhui Li 1,* and Zhihong Huang 1 1 School of Science and Engineering, University of Dundee, Dundee DD1 4HN, UK 2 Centre for Anatomy and Human Identification, University of Dundee, Dundee DD1 4HN, UK * Authors to whom correspondence should be addressed. † These authors contributed equally to this work. Appl. Sci.
OSA | Quantitative measurement of mechanical properties in wound healing processes in a corneal stroma model by using vibrational optical coherence elastography (OCE)
C. Lal, S. Alexandrov, S. Rani, Y. Zhou, T. Ritter, and M. M. Leahy, “Nanosensitive optical coherence tomography to assess wound healing within the cornea,” Biomed. Opt. Express 11(7), 3407–3422 (2020). [Crossref] D. Zhang, J. Wang, C. Li, and Z. Huang, “Optimal stimulation frequency for vibrational optical coherence elastography,” J. Biophotonics 13(2), e201960066 (2020). [Crossref] M. S. Hepburn, P. Wijesinghe, L. G. Major, J. Li, A. Mowla, C. Astell, H. W. Park, Y. Hwang, Y. S. Choi, and B. F.
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