Unveiling Drug Discovery Insights Through Molecular Electrostatic Potential Analysis

被引:0
|
作者
Haritha, Mambatta [1 ]
Suresh, Cherumuttathu H. [2 ]
机构
[1] CSIR Natl Inst Interdisciplinary Sci & Technol, Chem Sci & Technol Div, Thiruvananthapuram, India
[2] Kerala State Council Sci Technol & Environm KSCSTE, Srinivasa Ramanujan Inst Basic Sci SRIBS, Kottayam, India
关键词
LOCAL IONIZATION ENERGIES; CATION-PI INTERACTIONS; NBO ANALYSIS; FT-RAMAN; REACTIVITY INDEX; DFT CALCULATIONS; HYDROGEN; DENSITY; IR; TAUTOMERISM;
D O I
10.1002/wcms.1735
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Molecular electrostatic potential (MESP) analysis has emerged as a pivotal tool in drug discovery, providing insights into molecular reactivity and noncovalent interactions essential for drug function. While widely used MESP-on-isodensity surface analysis offers interpretations of electron-rich or deficient regions of a drug molecule, the MESP topology parameters such as spatial minimum (Vmin) and MESP at nuclei (Vn) provide a quantitative understanding. The investigation into the correlation between MESP parameters and various molecular properties such as lipophilicity, pKa (acidity/basicity), conformations, and tautomeric forms is crucial for understanding the impact on biological activity of drugs and facilitating drug design. Moreover, MESP topology analysis serves as a fundamental tool in elucidating the pharmacological behavior of compounds and optimizing their therapeutic efficacy. A quantitative study utilizing Vn parameters to assess the hydrogen bond propensity of a drug presents a novel strategy for investigating drug-receptor interactions with increased precision. The qualitative and quantitative analysis of the MESP features of various drugs, including their applications in cancer, tuberculosis, tumors, inflammation, and infectious diseases such as malaria, bacterial infections, fungal infections, and viral infections, is conducted in this review.
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Unveiling new genetic insights in rheumatoid arthritis for drug discovery through Taxonomy3 analysis
    Justyna Kozlowska
    Neil Humphryes-Kirilov
    Anastasia Pavlovets
    Martin Connolly
    Zhana Kuncheva
    Jonathan Horner
    Ana Sousa Manso
    Clare Murray
    J. Craig Fox
    Alun McCarthy
    Scientific Reports, 14 (1)
  • [2] Unveiling new genetic insights in rheumatoid arthritis for drug discovery through Taxonomy3 analysis
    Kozlowska, Justyna
    Humphryes-Kirilov, Neil
    Pavlovets, Anastasia
    Connolly, Martin
    Kuncheva, Zhana
    Horner, Jonathan
    Manso, Ana Sousa
    Murray, Clare
    Fox, J. Craig
    Mccarthy, Alun
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [3] THE MOLECULAR ELECTROSTATIC POTENTIAL AND DRUG DESIGN
    PEPE, G
    SIRI, D
    REBOUL, JP
    JOURNAL OF MOLECULAR STRUCTURE-THEOCHEM, 1992, 88 : 175 - 185
  • [4] Unraveling pnicogen bonding cooperativity: Insights from molecular electrostatic potential analysis
    Krishnapriya, Vilakkathala U.
    Suresh, Cherumuttathu H.
    JOURNAL OF COMPUTATIONAL CHEMISTRY, 2024, 45 (08) : 461 - 475
  • [5] Unveiling the potential of molecular imprinting polymer-based composites in the discovery of advanced drug delivery carriers
    Kumar, Amit
    Kashyap, Shashi
    Mazahir, Farhan
    Sharma, Rajeev
    Yadav, Awesh K.
    DRUG DISCOVERY TODAY, 2024, 29 (11)
  • [6] Unveiling potential drug targets for hyperparathyroidism through genetic insights via Mendelian randomization and colocalization analyses
    Chen, Bohong
    Wang, Lihui
    Pu, Shengyu
    Guo, Li
    Chai, Na
    Sun, Xinyue
    Tang, Xiaojiang
    Ren, Yu
    He, Jianjun
    Hao, Na
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [7] Unveiling potential drug targets for hyperparathyroidism through genetic insights via Mendelian randomization and colocalization analyses
    Bohong Chen
    Lihui Wang
    Shengyu Pu
    Li Guo
    Na Chai
    Xinyue Sun
    Xiaojiang Tang
    Yu Ren
    Jianjun He
    Na Hao
    Scientific Reports, 14
  • [8] Discovery of Potential Drug Targeting Key Genes in Alzheimer's Disease: Insights from Transcriptome Analysis and Molecular Docking
    Liu, Hanjie
    Yang, Hui
    You, Maochun
    Zhang, Siyu
    Huang, Sihan
    Tan, Xin
    Liu, Qi
    Jiang, Cen
    Xie, Lushuang
    JOURNAL OF MOLECULAR NEUROSCIENCE, 2024, 74 (02)
  • [9] Topological analysis of the molecular electrostatic potential
    Leboeuf, M
    Köster, AM
    Jug, K
    Salahub, DR
    JOURNAL OF CHEMICAL PHYSICS, 1999, 111 (11): : 4893 - 4905
  • [10] POTENTIAL MOLECULAR TARGETS FOR ANTITUBERCULOSIS DRUG DISCOVERY
    dos Santos Fernandes, Guilherme Felipe
    Chin, Chung Man
    dos Santos, Jean Leandro
    QUIMICA NOVA, 2017, 40 (05): : 572 - 585