Arunjunai Raja Shankar Santha Kumar
Postdoctoral position at Department of Chemistry - Ångström Laboratory; Structural Chemistry
- E-mail:
- arunjunai.santha-kumar@kemi.uu.se
- Visiting address:
- Lägerhyddsvägen 1
- Postal address:
- Box 538
751 21 Uppsala

Publications
Recent publications
Ultrafast, remote-controlled protonation reaction enables structural changes in a phytochrome
Part of Science Advances, 2025
- DOI for Ultrafast, remote-controlled protonation reaction enables structural changes in a phytochrome
- Download full text (pdf) of Ultrafast, remote-controlled protonation reaction enables structural changes in a phytochrome
Filling data analysis gaps in time-resolved crystallography by machine learning
Part of Structural Dynamics, 2025
- DOI for Filling data analysis gaps in time-resolved crystallography by machine learning
- Download full text (pdf) of Filling data analysis gaps in time-resolved crystallography by machine learning
Part of Optical materials (Amsterdam), 2025
Experimental, Theoretical, and In Silico Studies of Potential CDC7 Kinase Inhibitors
Part of ACS Omega, p. 609-618, 2024
- DOI for Experimental, Theoretical, and In Silico Studies of Potential CDC7 Kinase Inhibitors
- Download full text (pdf) of Experimental, Theoretical, and In Silico Studies of Potential CDC7 Kinase Inhibitors
All publications
Articles in journal
Ultrafast, remote-controlled protonation reaction enables structural changes in a phytochrome
Part of Science Advances, 2025
- DOI for Ultrafast, remote-controlled protonation reaction enables structural changes in a phytochrome
- Download full text (pdf) of Ultrafast, remote-controlled protonation reaction enables structural changes in a phytochrome
Filling data analysis gaps in time-resolved crystallography by machine learning
Part of Structural Dynamics, 2025
- DOI for Filling data analysis gaps in time-resolved crystallography by machine learning
- Download full text (pdf) of Filling data analysis gaps in time-resolved crystallography by machine learning
Part of Optical materials (Amsterdam), 2025
Experimental, Theoretical, and In Silico Studies of Potential CDC7 Kinase Inhibitors
Part of ACS Omega, p. 609-618, 2024
- DOI for Experimental, Theoretical, and In Silico Studies of Potential CDC7 Kinase Inhibitors
- Download full text (pdf) of Experimental, Theoretical, and In Silico Studies of Potential CDC7 Kinase Inhibitors