GEAD: generating and evaluating handwritten Eastern Arabic digits using generative adversarial networks

Autor: Ferial Alsaadi, Arwa Alotaibi, Nujood Almajnooni, Renad Alotaibi, Rawan Alharbi, Amaal Alharbi, Sari Sabban, Tarik Alafif, Ayman Albassam, Ashwaq Alharbi, Gadeer Alsulami, Maani Albishry, Rawabi Alharbi, Tahani Alkhodidi

Publikováno v: International Journal of Information Technology. 14:165-173

Using Generative Adversarial Networks (GANs) have led to significant improvements in computer vision research filed. GANs are used to generate novel images by pitting two neural networks against each other, where a generator network generates images

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::baf43fa647e45292eb4b3bb21f4cd1a0
https://doi.org/10.1007/s41870-021-00814-8

Computationally grafting an IgE epitope onto a scaffold: Implications for a pan anti-allergy vaccine design

Autor: Sari Sabban

Publikováno v: Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 4738-4750 (2021)
Computational and Structural Biotechnology Journal

Graphical abstract
Allergy is becoming an intensifying disease among the world population, particularly in the developed world. Once allergy develops, sufferers are permanently trapped in a hyper-immune response that makes them sensitive to inno

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9ee2741b25b71dbe6e53bae7cff7ba44
https://doi.org/10.1016/j.csbj.2021.08.012

RamaNet: Computational de novo helical protein backbone design using a long short-term memory generative adversarial neural network

Autor: Mikhail Markovsky, Sari Sabban

The ability to perform de novo protein design will allow researchers to expand the variety of available proteins. By designing synthetic structures computationally, they can utilise more structures than those available in the Protein Data Bank, desig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e0c6714112d354e84cd16a49e79d6015

RamaNet: Computational de novo helical protein backbone design using a long short-term memory generative adversarial neural network

Autor: Sari Sabban, Mikhail Markovsky

Publikováno v: F1000Research. 9:298

The ability to perform de novo protein design will allow researchers to expand the variety of available proteins. By designing synthetic structures computationally, they can utilise more structures than those available in the Protein Data Bank, desig

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::164d4fb69c4035950be09fbdeb4bd0b8
https://doi.org/10.12688/f1000research.22907.1

The role of Cɛ2, Cɛ3, and Cɛ4 domains in human and canine IgE and their contribution to FcɛRIα interaction

Autor: Sari Sabban, Birgit A. Helm, Michael J. Hunter, Hongtu Ye, J. Housden

Publikováno v: Molecular Immunology. 57:151-159

The Cɛ2 and Cɛ4 domains are considered as scaffolds, allowing Cɛ3 domains to assume an appropriate orientation to interact with FcɛRI ( Wurzburg and Jardetzky, 2002; Hunter et al., 2008 ). Human/canine IgE chimeric antibodies were expressed to as

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::869cadef096568c4a004ddaeccbacf5d
https://doi.org/10.1016/j.molimm.2013.08.004