Kayenat Sheikh

PhD Students

PhD Student

Current

Location:

B2/L4-4850

Biography

As a structural biologist at the Pathogen Genomics Laboratory at KAUST, Kayenat Sheikh focuses on integrating functional properties to genomic elements, particularly through structures. She did her master’s from Jamia Millia Islamia, a Central University, and training at CSIR-IGIB, India. Her previous experience at the Computational Structural Biology Lab involved understanding the basis of structural evolution of LC3B homologs participating in the autophagic machinery across various species.
At KAUST she focuses on introducing ML models aimed at pathogen proteins classification and functional annotation that shall contribute strategically to the goals of the laboratory. She is well-equipped to support and drive forward the innovative research initiatives.

Selected Publications

  • Ahmad, S., Sheikh, K., Bano, N., Rafeeq, MM, Mohammed, MRS, Yadav, MK, & Raza, K. (2024). Exemplary implications of nature-inspired computational methods on therapeutics and computational drug development. In Nature-inspired intelligent computing techniques in bioinformatics (pp. 325-341). Singapore: Springer Nature Singapore.
  • S Ahmad, S Sayeed, N Bano, K Sheikh, K Raza, In-silico analysis reveals Quinic acid as a multitargeted inhibitor against cervical cancer, Journal of Biomolecular Structure and Dynamics, 41 (19), 9770-9786, 2023, 10.1080/07391102.2022.2146202.
  • M Alam, GM Ashraf, K Sheikh, A Khan, S Ali, MM Ansari, M Adnan, et al., Potential therapeutic implications of caffeic acid in cancer signaling: past, present, and future, Frontiers in pharmacology, 13, 845871, 2022, 10.3389/fphar.2022.845871.
  • S Ahmad, K Sheikh, N Bano, M Rafeeq M, RSM Mohammed, et al., Illustrious Implications of Nature-Inspired Computing Methods in Therapeutics and Computer-Aided Drug Design, Nature-Inspired Intelligent Computing Techniques in Bioinformatics, 1066, 293-308, 2022.
  • K Sheikh, R Ayyagari, FN Khan, Computational Resources for Oncology Research: A Comprehensive Analysis, Computational Intelligence in Oncology, 1016, 65-92, 2022.
  • S Qazi, K Sheikh, K Raza, In silico approach to understand the epigenetic mechanism of SARS-CoV-2 and its impact on the environment, Virus disease, 32 (2), 286-297, 2021, 10.1007/s13337-021-00655-w.
  • S Qazi, K Sheikh, M Faheem, A Khan, K Raza, A coadunation of biological and mathematical perspectives on the pandemic COVID-19: a review, Coronaviruses, 2 (9), 5-20, 2021.
  • K Sheikh, K Raza, Viroinformatics and Viral Diseases: A New Era of Interdisciplinary Science for a Thorough Apprehension of Virology, Translational Bioinformatics Applications in Healthcare, 109-132, 2021.

Education

  • M.Sc. Bioinformatics, Jamia Millia Islamia, New Delhi, India, 2021

Research Interests Keywords

Host-pathogen interactions viral biology Infectious diseases Bioinformatics