Aiswarya N | Computational Drug Discovery | Women Researcher Award

Dr. Aiswarya N - Computational Drug Discovery - Women Researcher Award 🏆

 Indian Institute of Science - India

Professional Profiles

Early Academic Pursuits

She embarked on her academic journey with a profound interest in Chemistry. Graduating with a Bachelor of Science degree in Chemistry from Calicut University, where she secured the second rank in the university, demonstrated her early aptitude and dedication to the field. She continued her academic pursuits by obtaining a Master of Science degree in Chemistry from Mahatma Gandhi University, specializing in Organic Chemistry, and graduating with distinction and the first position. These early academic achievements laid the foundation for her subsequent research endeavors.

Professional Endeavors

She furthered her academic pursuits by pursuing a Ph.D. in Inorganic Chemistry at Cochin University of Science and Technology (CUSAT). Her doctoral research focused on the synthesis and characterization of Copper(II) complexes based on halogen-substituted carbonyl compounds. Her thesis, titled "Crystalline architectures of Copper (II) complexes based on halogen substituted carbonyl compounds: Interplay of covalent and non-covalent forces," delved into the synthesis of Schiff bases and their Cu(II) complexes, their crystallization, and characterization using various techniques such as UV-Vis, IR, SXRD, NMR, TG-DTA/DSC, and EPR. The relevance of these complexes in biomimetic activity, enzyme catalysis, and binding studies with DNA was also highlighted.

Contributions and Research Focus in Computational Drug Discovery

Her research focus spans across Computational Drug Discovery, Molecular Docking, Virtual Screening, Molecular Dynamics Simulation, and Ligand-Based Drug Design. Her doctoral and post-doctoral research projects have contributed significantly to these areas, particularly in the development and application of computational methods for drug discovery. Her work on the synthesis and characterization of metal complexes and their relevance in biomimetic activity and binding studies has laid the groundwork for her current research endeavors in computational drug discovery.

Accolades and Recognition

She has been recognized for her academic and research excellence through various awards and fellowships. She was awarded the prestigious D.S. Kothari post-doctoral fellowship and received the CSIR/UGC fellowship for her Ph.D. Additionally, her outstanding academic performance, including securing the first position in M.Sc. Chemistry and the second rank in B.Sc. Chemistry, has been acknowledged by her academic institutions.

Impact and Influence

Her research has the potential to have a significant impact on the field of drug discovery. Her contributions to Computational Drug Discovery, Molecular Docking, Virtual Screening, Molecular Dynamics Simulation, and Ligand-Based Drug Design have implications for the development of novel therapeutic agents for various diseases, including epilepsy. Her interdisciplinary approach, combining expertise in chemistry and computational methods, positions her as a valuable asset in the field of drug discovery.

Legacy and Future Contributions

As she continues her academic and research journey, her legacy lies in her contributions to scientific knowledge and her potential to make significant advancements in the field of drug discovery. Her interdisciplinary research approach and expertise in computational methods are expected to pave the way for innovative drug discovery strategies. Looking ahead, Dr. Aiswarya N. is poised to continue her research endeavors, contributing to the development of new therapeutic agents and making a lasting impact on the field of drug discovery.

Citations

  • Citations               203
  • h-index                   7
  • i10-index                7

Notable Publications

 

Venkata Rajesh Yella | Computational Biology | Best Researcher Award

Koneru Lakshmaiah Education Foundation - India🏆

Professional Profiles:

Early Academic Pursuits :

His academic journey began with a focus on DNA structural analysis and its implications in gene expression during the early years of his research career. Exploring the intricacies of eukaryotic and prokaryotic DNA, he demonstrated a keen interest in understanding core promoter regions and DNA motifs, paving the way for significant contributions in deciphering the structural aspects of DNA and their functional roles.

Professional Endeavors :

His professional career evolved around interdisciplinary research, blending bioinformatics, computational biology, and molecular biology. His tenure at K L University since 2016 has been instrumental in fostering an environment conducive to cutting-edge research in genomics, structural biology, and computational genomics.

Contributions and Research Focus in Computational Biology:

His research has made substantial contributions to the understanding of DNA structural features influencing gene regulation, transcription factor binding, and the role of DNA motifs in gene expression. His work on G-quadruplexes, DNA flexibility, and the impact of DNA sequence environments on transcription factor affinity has significantly advanced the field's understanding of genome organization and gene responsiveness.

His expertise in employing deep learning and machine learning techniques to analyze biological data has been pivotal in unveiling hidden patterns within DNA sequences and regulatory regions across various organisms, establishing connections between structural elements and functional outcomes.

Accolades and Recognition :

His contributions have garnered substantial recognition, evident from his prolific publication record and high citation count. With an impressive H-index of 7 and a total of 18 citations for 15 publications within the specified timeframe, His work has been widely acknowledged and cited in prominent journals, reflecting its impact and significance within the scientific community.

Impact and Influence :

His studies have greatly influenced the fields of genomics, bioinformatics, and computational biology by providing critical insights into the structural determinants governing gene regulation. His research findings have laid a foundation for further investigations into DNA-protein interactions, regulatory mechanisms, and the development of predictive models for gene expression and transcriptional control.

Legacy and Future Contributions :

His legacy lies in his pioneering contributions to understanding DNA structure-function relationships and their implications in gene expression. His multidisciplinary approach integrating computational techniques with molecular biology has set a benchmark for future research in deciphering complex genomic landscapes.

Notable Publications :