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Powering innovation in artificial intelligence with Open Access research...

Artificial intelligence (AI) and machine learning (ML) together represent a research frontier with a wide variety of discipline specific applications. At Strathclyde researchers in Computer & Information Sciences are exploring improved AI planning models to enable improved decision making by automous agents. Meanwhile, research conducted by the Aerospace Centre of Excellence is using AI and computational techniques to optimize the efficacy of certain astronautic applications. This includes 'global trajectory optimization' to aircraft and spacecraft design, from the planning and scheduling for autonomous vehicles to the synthesis of robust controllers for airplanes or satellites.

AI is also transforming the research agenda within Finance, where researchers are exploring the potential of AI and machine learning in evaluating banking risks and in new, emerging aspects of FinTech.

Explore some of this Open Access research from Computer & Information Sciences, Aerospace Centre of Excellence and Finance. Or explore all of Strathclyde's Open Access research...

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Number of items: 8.

2020

Beveridge, Rebecca and Kessler, Dirk and Rumpel, Klaus and Ettmayer, Peter and Meinhart, Anton and Clausen, Tim (2020) Native mass spectrometry can effectively predict PROTAC efficacy. ACS Central Science, 6 (7). pp. 1223-1230. ISSN 2374-7951

Stephani, Madlen and Picchianti, Lorenzo and Gajic, Alexander and Beveridge, Rebecca and Skarwan, Emilio and Sanchez de Medina Hernandez, Victor and Mohseni, Azadeh and Clavel, Marion and Zeng, Yonglung and Naumann, Christin and Matuszkiewicz, Mateusz and Turco, Eleonora and Loefke, Christian and Li, Baiying and Durnberger, Gerhard and Schutzbier, Michael and Chen, Hsiao Tieh and Abdrakhmanov, Alibek and Savova, Adriana and Chia, Khong-Sam and Djamei, Armin and Schaffner, Irene and Abel, Steffen and Jiang, Liwen and Mechtler, Karl and Ikeda, Fumiyo and Martens, Sascha and Clausen, Tim and Dagdas, Yasin (2020) A cross-kingdom conserved ER-phagy receptor maintains endoplasmic reticulum homeostasis during stress. Working paper. bioRxiv, Cold Spring Harbor, NY..

Beveridge, Rebecca and Stadlmann, Johannes and Penninger, Josef M. and Mechtler, Karl (2020) A synthetic peptide library for benchmarking crosslinking-mass spectrometry search engines for proteins and protein complexes. Nature Communications, 11 (1). 742. ISSN 2041-1723

2019

Beveridge, Rebecca and Kessler, Dirk and Rumpel, Klaus and Ettmayer, Peter and Meinhart, Anton and Clausen, Tim (2019) Native mass spectrometry can effectively predict PROTAC efficacy. Working paper. bioRxiv, Cold Spring Harbor, N.Y..

Beveridge, Rebecca and Migas, Lukasz G. and Das, Rahul K. and Pappu, Rohit V. and Kriwacki, Richard W. and Barran, Perdita E. (2019) Ion mobility mass spectrometry uncovers the impact of the patterning of oppositely charged residues on the conformational distributions of intrinsically disordered proteins. Journal of the American Chemical Society, 141 (12). pp. 4908-4918. ISSN 0002-7863

Beveridge, Rebecca and Migas, Lukasz G. and Kriwacki, Richard W. and Barran, Perdita E. (2019) Ion mobility mass spectrometry measures the conformational landscape of p27 and its domains and how this is modulated upon interaction with Cdk2/cyclin A. Angewandte Chemie International Edition, 58 (10). 3114—3118. ISSN 1433-7851

2016

Beveridge, Rebecca and Migas, Lukasz G. and Payne, Karl A. P. and Scrutton, Nigel S. and Leys, David and Barran, Perdita E. (2016) Mass spectrometry locates local and allosteric conformational changes that occur on cofactor binding. Nature Communications, 7 (1). pp. 1-9. ISSN 2041-1723

2015

Beveridge, Rebecca and Phillips, Ashley S. and Denbigh, Laetitia and Saleem, Hassan M. and MacPhee, Cait E. and Barran, Perdita E. (2015) Relating gas phase to solution conformations : lessons from disordered proteins. Proteomics, 15 (16). pp. 2872-2883. ISSN 1615-9853

This list was generated on Sun Aug 9 07:18:17 2020 BST.