Mrs Maria Diana Castro Spencer
- Senior Laboratory Technician (School of Chemistry)
email:
MariaDiana.CastroSpencer@gla.systa-s.com
Joseph Black Building, Glasgow, G12 8qq
Research interests
Research groups
Publications
2022
She, Shan, Bell, Nicola L. 
ORCID: https://orcid.org/0000-0002-7497-9667, Zheng, Dazhong, Mathieson, Jennifer S., Castro, Maria D., Long, De-Liang ORCID: https://orcid.org/0000-0003-3241-2379, Koehnke, Jesko ORCID: https://orcid.org/0000-0002-7153-1365 and Cronin, Leroy ORCID: https://orcid.org/0000-0001-8035-5757
(2022)
Robotic synthesis of peptides containing metal-oxide-based amino acids.
Chem, 8(10),
pp. 2734-2748.
(doi: 10.1016/j.chempr.2022.07.007)
2018
Yoshida, Mari ORCID: https://orcid.org/0000-0003-1380-967X, Hinkley, Trevor, Tsuda, Soichiro, Abul-Haija, Yousef ORCID: https://orcid.org/0000-0002-0357-0653, Mcburney, Roy T., Kulikov, Vladislav, Mathieson, Jennifer, Galinanes Reyes, Sabrina, Castro Spencer, Maria D. and Cronin, Leroy ORCID: https://orcid.org/0000-0001-8035-5757
(2018)
Using evolutionary algorithms and machine learning to explore sequence space for the discovery of antimicrobial peptides.
Chem, 4(3),
pp. 533-543.
(doi: 10.1016/j.chempr.2018.01.005)
Articles
She, Shan, Bell, Nicola L. ORCID: https://orcid.org/0000-0002-7497-9667, Zheng, Dazhong, Mathieson, Jennifer S., Castro, Maria D., Long, De-Liang ORCID: https://orcid.org/0000-0003-3241-2379, Koehnke, Jesko ORCID: https://orcid.org/0000-0002-7153-1365 and Cronin, Leroy ORCID: https://orcid.org/0000-0001-8035-5757
(2022)
Robotic synthesis of peptides containing metal-oxide-based amino acids.
Chem, 8(10),
pp. 2734-2748.
(doi: 10.1016/j.chempr.2022.07.007)
Yoshida, Mari ORCID: https://orcid.org/0000-0003-1380-967X, Hinkley, Trevor, Tsuda, Soichiro, Abul-Haija, Yousef ORCID: https://orcid.org/0000-0002-0357-0653, Mcburney, Roy T., Kulikov, Vladislav, Mathieson, Jennifer, Galinanes Reyes, Sabrina, Castro Spencer, Maria D. and Cronin, Leroy ORCID: https://orcid.org/0000-0001-8035-5757
(2018)
Using evolutionary algorithms and machine learning to explore sequence space for the discovery of antimicrobial peptides.
Chem, 4(3),
pp. 533-543.
(doi: 10.1016/j.chempr.2018.01.005)