Sapajan Ibragimov | Computational Chemistry | Innovative Research Award

Published on by Chemistry Awards

Innovative Research Award

Sapajan Ibragimov
Affiliation Khorezm Mamun Academy
Country Uzbekistan
Scopus ID 59322247000
Documents 5
Citations 7
h-index 1
Subject Area Computational Chemistry
Event International Chemistry Scientist Awards
ORCID 0000-0002-6015-7726

Sapajan Ibragimov of Khorezm Mamun Academy, Uzbekistan, is recognized within the field of computational chemistry through scholarly contributions that support theoretical and computational investigations of chemical systems. His academic profile demonstrates engagement with modern computational approaches that assist in understanding molecular behavior, reaction mechanisms, and chemical properties. The present article evaluates his scholarly profile in the context of the Innovative Research Award, considering research productivity, scientific influence, and potential contributions to contemporary chemical science.[1]

Abstract

This article presents an academic overview of Sapajan Ibragimov and examines his suitability for recognition through the Innovative Research Award. His research activities are associated with computational chemistry, a discipline that combines theoretical models, simulation techniques, and chemical analysis to address scientific challenges. Available scholarly indicators demonstrate contributions through peer-reviewed publications, citation activity, and participation in advancing computational approaches for chemical investigations. The assessment considers research productivity, scientific relevance, methodological innovation, and potential impact on future developments within chemistry. These factors collectively support evaluation within an international academic recognition framework.[1]

Keywords

Computational Chemistry, Molecular Modeling, Chemical Simulation, Scientific Research, Theoretical Chemistry, Innovation, Research Excellence, Academic Recognition, Chemical Sciences, Innovative Research Award.

Introduction

Computational chemistry has become an essential component of modern scientific research by enabling detailed examination of molecular systems through computational methods. Researchers in this field contribute to theoretical understanding and practical problem-solving across diverse chemical applications. Sapajan Ibragimov’s scholarly activities reflect engagement with these objectives and align with the broader advancement of computational methodologies.[2]

Research Profile

Affiliated with Khorezm Mamun Academy in Uzbekistan, Sapajan Ibragimov has established a scholarly presence in computational chemistry. His Scopus profile records five indexed publications with citation activity and an h-index reflecting emerging research influence. The profile indicates participation in scientific investigations involving computational techniques and theoretical analysis of chemical phenomena.[1]

Research Contributions

The research contributions of Sapajan Ibragimov are associated with the application of computational approaches to chemical studies. Such work supports prediction of molecular behavior, assessment of chemical interactions, and interpretation of theoretical models. These contributions enhance scientific understanding while promoting the efficient use of computational tools in contemporary chemistry research.[3]

Publications

Published research outputs represent important indicators of scientific productivity and knowledge dissemination. The available publication record demonstrates participation in peer-reviewed scholarship and contributes to the visibility of computational chemistry research. These publications provide a foundation for further investigation and scholarly collaboration within the international scientific community.[1]

  • Peer-reviewed scientific publications.
  • Computational chemistry research outputs.
  • Studies supporting theoretical chemical investigations.

Research Impact

Research impact may be evaluated through citation metrics, scholarly visibility, and relevance to ongoing scientific developments. Citation activity associated with the author’s publications suggests engagement by the research community. Although representing an early stage of academic influence, these indicators demonstrate growing recognition and potential for future contributions within computational chemistry.[1]

Award Suitability

The Innovative Research Award recognizes individuals whose work demonstrates originality, scientific relevance, and meaningful contributions to research advancement. Based on available scholarly information, Sapajan Ibragimov exhibits qualities consistent with award consideration, including engagement in computational chemistry research, publication activity, and participation in the development of scientific knowledge through analytical methodologies.[4]

Conclusion

Sapajan Ibragimov’s academic profile reflects active involvement in computational chemistry and demonstrates measurable scholarly contributions through publications and citations. His research activities contribute to the advancement of theoretical and computational methodologies within chemistry. These achievements provide a reasonable basis for consideration within the framework of the Innovative Research Award and related scientific recognition programs.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Sapajan Ibragimov, Author ID 59322247000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=59322247000
  2. ORCID. (n.d.). ORCID profile record for Sapajan Ibragimov.
    https://orcid.org/0000-0002-6015-7726
  3. Wtulich, M., Skwierawska, A., Ibragimov, S., & Lisowska-Oleksiak, A. (n.d.). Exploring the role of carbon nitrides (melem, melon, g-C3N4) in enhancing photoelectrocatalytic properties of TiO2 nanotubes for water electrooxidation.
    https://www.sciencedirect.com/science/article/abs/pii/S0169433224027107
  4. Ibragimov, S., Lyalin, A., Kumar, S., Ono, Y., Taketsugu, T., & Bobrowski, M. (n.d.). Theoretical design of nanocatalysts based on (Fe2O3)n clusters for hydrogen production from ammonia.
    https://www.researchgate.net/publication/384502734_Theoretical_design_of_nanocatalysts_based_on_Fe_2O_3_n_clusters_for_hydrogen_production_from_ammonia

Dr. Abdulwasiu Abdurrahman | Computational Chemistry | Research Excellence Award

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Dr. Abdulwasiu Abdurrahman | Computational Chemistry | Research Excellence Award

Lecturer | University Of Abuja | Nigeria

Dr. Abdulwasiu Abdurrahman is a chemical engineering researcher specializing in green solvents, deep eutectic solvents, and their applications in enhanced oil recovery, catalysis, biodiesel production, and sustainable process engineering. His work integrates experimental studies, molecular-level understanding, and process simulation to improve efficiency and environmental performance in petroleum and bioenergy systems. He has contributed to advancing surface-active green chemicals for oilfield services, transesterification catalysis, and encapsulation materials for bioprocessing. His research outputs appear in international peer-reviewed journals and conference proceedings. According to Scopus, he has 3 documents, 5 citations, and an h-index of 1, reflecting emerging impact in energy and sustainable chemical technologies.

Citation Metrics (Scopus)

5

4

3

2

1

0

 

Citations
5

Documents
3

h-index
1

🟦 Citations 🟥 Documents 🟩 h-index

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Featured Publications

Prof. Banjo Semire | Computational Chemistry | Distinguished Scientist Award

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Dr. Elahe Astani | Computational Chemisty | Best Researcher Award

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Dr. Elahe Astani | Computational Chemisty | Best Researcher Award 

Dr. Elahe Astani , Pasteur Institute of Iran, Tehran, Iran , Iran

Dr. Elahe K. Astani is a distinguished Computational Chemist at the Drug Design and Bioinformatics Unit, Pasteur Institute of Iran. With a Ph.D. in Physical Chemistry from Tarbiat Modares University, Tehran, Dr. Elahe K. Astani has built a stellar reputation in the fields of theoretical and computational chemistry. Her groundbreaking work involves modeling complex structures of membrane proteins and nucleoside antibiotics, utilizing advanced methodologies like molecular dynamics simulations, QM/MM calculations, and free energy perturbation. With 15 peer-reviewed publications and active collaborations with global institutions, including the National Synchrotron Radiation Research Center, Taiwan, Dr. Elahe K. Astani excels in cutting-edge computational tools like NAMD, Gaussian, and VMD. Her commitment to unraveling the intricacies of protein interactions and the chemistry of nucleoside antibiotics has solidified her as a leading figure in her domain. She is currently engaged in several high-impact research projects, striving to contribute innovative solutions to biomedical and chemical research challenges.

Professional Profile : 

Google Scholar Profile

Orcid  Profile 

Scopus   Profile 

Summary of Suitability of award :

Dr. Elahe K. Astani is an outstanding candidate for the “Best Researcher Award” due to her exceptional contributions to the field of computational chemistry and bioinformatics. With a robust academic foundation, she has made significant strides in modeling protein-nucleoside antibiotic interactions, utilizing cutting-edge techniques such as molecular dynamics simulations, QM/MM calculations, and advanced density functional theory. Her expertise in applying computational tools like Gaussian, NAMD, and AIM2000 showcases her technical prowess.

🎓Education:

Dr. Elahe K. Astani pursued her Bachelor’s and Master’s degrees in Chemistry, culminating in a Ph.D. in Physical Chemistry from Tarbiat Modares University, Tehran, Iran. Her doctoral research was pioneering in theoretical and computational chemistry, emphasizing membrane protein and nucleoside antibiotic interactions. She honed her expertise in advanced computational methods, including molecular dynamics simulations and quantum chemistry techniques, under the supervision of world-renowned experts. Her academic training provided her with a profound understanding of non-covalent interactions, quantum theory applications, and parameterization of complex chemical structures. Beyond her formal education, she undertook specialized training in computational tools like Gaussian, NAMD, and VMD, fostering a deep capability to tackle interdisciplinary challenges. Dr. Astani continues to leverage her strong academic foundation to explore novel areas in bioinformatics and drug design, contributing significantly to the global scientific community through teaching, mentoring, and collaborative research.

🏢Work Experience:

Dr. Elahe K. Astani brings extensive experience in computational chemistry and bioinformatics, particularly in modeling membrane proteins and nucleoside antibiotic interactions. Her career spans impactful research positions at the Drug Design and Bioinformatics Unit, Pasteur Institute of Iran. She has completed seven research projects and is actively involved in four more, contributing to advancements in drug design and structural biology. Her collaborative endeavors with leading institutions such as the National Synchrotron Radiation Research Center, Taiwan, and Academia Sinica, Taipei, highlight her international influence. Proficient in advanced computational tools and methodologies, she has authored 15 high-impact publications, showcasing her expertise in molecular simulations, QM/MM calculations, and NBO analyses. Dr. Astani’s contributions also include mentoring young researchers and conducting workshops on computational techniques, thereby nurturing future scientists. Her extensive expertise and global perspective have positioned her as a thought leader in the computational and theoretical chemistry domains.

🏅Awards:

Dr. Elahe K. Astani has earned recognition for her contributions to computational chemistry and bioinformatics. Her research excellence has been showcased through numerous awards and nominations, including acknowledgment for her innovative modeling of membrane protein-nucleoside antibiotic complexes. Dr. Astani’s collaborative work with international research institutions has garnered accolades, particularly her contributions to molecular dynamics and structural biology studies. Her expertise in computational tools and methodologies has led her to secure prestigious research opportunities, cementing her as a sought-after expert in her field. Although her most recent research is under review, it promises to make a significant impact in the scientific community. Her dedication to advancing knowledge and driving innovation in computational drug design exemplifies her commitment to excellence. Through her research and collaborations, Dr. Astani continues to push boundaries and set benchmarks in the realm of computational chemistry.

🔬Research Focus:

Dr. Elahe K. Astani’s research lies at the intersection of theoretical chemistry and bioinformatics. Her focus is on modeling protein-nucleoside antibiotic interactions, exploring the intricacies of non-covalent interactions, including hydrogen bonding and charge transfer. Utilizing state-of-the-art computational tools like Gaussian, GAMESS, and NAMD, she characterizes complex structures and investigates binding free energy and charge distribution effects. Dr. Astani’s work employs advanced methodologies such as molecular dynamics simulations, QM/MM calculations, and density functional theory (DFT) to uncover insights into protein-ligand dynamics. A significant aspect of her research involves constructing topology and parameter entries for complex nucleoside antibiotics within the CHARMM36 force field framework. Her collaborations with international institutions further enrich her research, leading to novel applications in drug design and bioinformatics. With a commitment to advancing computational methodologies, Dr. Astani’s contributions have profound implications for understanding molecular mechanisms and developing innovative therapeutic strategies.

Publication Top Notes:

DFT, QTAIM, and NBO studies on the trimeric interactions in the protrusion domain of a piscine betanodavirus
Citations: 11
Molecular interactions investigated with DFT calculations of QTAIM and NBO analyses: An application to dimeric structures of rice α-amylase/subtilisin inhibitor
Citations: 10
Organic and total mercury concentration in fish muscle and thermodynamic study of organic mercury extraction in fish protein
Citations: 9
A theoretical study on the characteristics of the intermolecular interactions in the active site of human androsterone sulphotransferase: DFT calculations of NQR and NMR
Citations: 8
Theoretical Study of Intermolecular Interactions between Critical Residues of Membrane Protein MraYAA and Promising Antibiotic Muraymycin D2
Citations: 6

 

 

 

 

Ms. Shrimanti Chakraborty | Computational Chemistry Award | Best Researcher Award

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Ms. Shrimanti Chakraborty | Computational Chemistry Award | Best Researcher Award

Ms. Shrimanti Chakraborty, Birla Institute of Technology, Mesra , India

Shrimanti Chakraborty is a dedicated aspiring research scientist in the field of Medicinal Chemistry. Currently pursuing a Master of Pharmacy in Pharmaceutical Chemistry at Birla Institute of Technology, Mesra, India, she is passionate about advancing pharmaceutical solutions that impact human health. With a solid academic foundation, she has contributed to research on green synthesis of nanoparticles and novel antimicrobial compounds. She has also gained valuable industry experience through internships and research projects, such as her work on molecular docking studies and drug discovery. As a dedicated student leader, Shrimanti holds various academic and extracurricular positions, contributing to her professional growth and development in scientific fields.

 

Professional Profile:

Google Scholar

 

Summary of Suitability for Award:

Shrimanti Chakraborty is a highly qualified and accomplished researcher with a strong track record in academic achievements, publications, and practical experience. Her research in medicinal chemistry, combined with her leadership skills and industry exposure, makes her an excellent candidate for the Best Researcher Award. Her contributions to the scientific community are poised to make a significant impact, showcasing her as an emerging leader in the field.

 

🎓Education:

Shrimanti Chakraborty completed her Bachelor of Pharmacy (BPharm) with 93.4% from Birla Institute of Technology, Mesra, in 2023. Currently, she is pursuing a Master of Pharmacy (MPharm) in Pharmaceutical Chemistry at the same institution, where she has secured an impressive 92.9%. Her academic foundation is strengthened by high achievements, including 94.75% in Higher Secondary and 94.8% in Matriculation, both from St. Joseph’s Convent, Chandannagar. Throughout her education, she has consistently displayed excellence in both theoretical knowledge and practical skills, focusing on pharmaceutical sciences, organic synthesis, and medicinal chemistry.

🏢Work Experience:

Shrimanti has gained invaluable professional experience through internships and industrial training. She worked at Dr. Reddy’s Laboratories, Hyderabad, contributing to clinical trial analysis and reporting. As part of the Khorana Program for Scholars, she interned at Purdue University, USA, under IUSSTF, gaining exposure to global pharmaceutical research. Additionally, Shrimanti participated in the Molecular Biology and Biochemistry Techniques program at IIT Kharagpur and Mendine Pharmaceuticals Pvt. Ltd. She is also involved in ongoing research projects, including her MPharm thesis on novel imidazole analogues. Her hands-on expertise includes computational modeling, molecular docking, and synthetic organic chemistry.

 

🏅Awards:

Shrimanti has earned recognition for her academic and professional achievements. She won the 1st prize along with a cash prize of INR 10,000 in the Flash Talk Competition at the International Symposium on Nucleic Acids Research by NIPER Kolkata. Her excellence in Mathematics ISC 2019 earned her rank 1, while in WIZ National Spell Bee 2014-15, she secured rank 2 and was honored with a cash prize. She also achieved rank 47 in the State Level Grand Finale of WIZ National Spell Bee. These accomplishments highlight her commitment to academic excellence, public speaking, and leadership in scientific endeavors.

 

🔬Research Focus:

Shrimanti’s research primarily focuses on Medicinal Chemistry, specifically in areas like molecular docking, drug design, and pharmacology. She has worked on green synthesis of iron/iron oxide nanoparticles, novel antimicrobial agents, and molecular dynamics. Her ongoing work includes imidazole analogues with potential antimicrobial activity, and phytoconstituents docking studies targeting Parkinson’s disease. She utilizes advanced computational techniques such as HTVS, AutoDock, Schrodinger, and Desmond for structure-based drug design. Her aim is to contribute to the development of innovative pharmaceutical solutions for treating chronic diseases and improving human health.

Publication Top Notes:

  1. Fundamental approaches of drug discovery
  2.  Comparative Molecular Docking Studies of Selected Phytoconstituents on the Dopamine D3 Receptor (PDB ID: 3PBL) as Potential Anti-Parkinson’s Agents