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Nishamol Kuriakose

Bilete av Nishamol Kuriakose
Besøksadresse Sem Sælands vei 26 Kjemibygningen 0371 Oslo
Postadresse Postboks 1126 Blindern 0318 Oslo
Andre tilknytingar Den internasjonale sommerskole (Student)

Faglige interesser

DFT studies, Small Molecule Activation, Homogeneous and Heterogeneous Catalysis, and Machine Learning

Bakgrunn

Ph.D. in Chemical Science, CSIR-National Chemical Laboratory Pune, India

M. Sc. Chemistry, University of Kerala, India

B. Sc. Chemistry, Mahatma Gandhi University, Kerala, India

Priser

PBC “Study in Israel” Fellowship

Verv

  • PBC Post-doctoral Research Fellow, The Institute of Chemistry, The Hebrew University of Jerusalem, Israel
  • Research Associate, Department of Physics, Indian Institutes of Science Education and Research (IISER) Pune, India
  • Research Scientist, A*STAR-Institute of High-Performance Computing (IHPC), Singapore
  • Postdoctoral Resarch Fellow.
    Fukui Institute for Fundamental Chemistry (FIFC), Kyoto University, Japan

 

Emneord: SMN

Publikasjonar

  • Geetha, Durga; Hameeda, B. A. Aysha; Jose, Deepthi; Kuriakose, Nishamol & Skaria, Tom (2025). Novel Insights Into the Dynamic Conformational Transitions and Active Site Plasticity of Human Immunoregulatory Cathepsin S. Proteins: Structure, Function, and Bioinformatics. ISSN 0887-3585. doi: 10.1002/prot.26845. Fulltekst i vitenarkiv
  • Puthiyottil, Shahid; Jose, Deepthi; Kuriakose, Nishamol & Skaria, Tom (2025). The developmental and inflammatory disease target protein ADAM17 is vulnerable to off-target interaction by the drug eltrombopag: Insights from molecular modeling. Computers in Biology and Medicine. ISSN 0010-4825. 186. doi: 10.1016/j.compbiomed.2025.109693. Fulltekst i vitenarkiv
  • Kuriakose, Nishamol & Shaik, Sason (2023). Oriented External Electric-Field Effects on the Activation of Aryl CO Bond in Anisole using Rh(PEP) (E=Al, B, Ga) Catalysts. Chemistry - A European Journal. ISSN 0947-6539. 29(49). doi: 10.1002/chem.202300977. Fulltekst i vitenarkiv

Sjå alle arbeida i NVA

  • Kuriakose, Nishamol (2023). Molecular Modelling and Machine Learning-Based Prediction of MOF Materials for Hydrogen Adsorption. Fulltekst i vitenarkiv

Sjå alle arbeida i NVA

Publisert 17. nov. 2022 09:39 - Sist endra 13. mars 2026 15:54