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P. S, S. GK, KT. N, Selvaraj C, K. L. Explication of Pharmacological Proficiency of Phytoconstituents from Adansonia digitata Bark: An In Vitro and In Silico Approaches. SCIENTIFICA 2024; 2024:6645824. [PMID: 39184813 PMCID: PMC11343629 DOI: 10.1155/2024/6645824] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Revised: 02/25/2024] [Accepted: 07/30/2024] [Indexed: 08/27/2024]
Abstract
Compared to other drug discovery sources, traditional medicine has significantly contributed to developing innovative therapeutic molecules for preventive and curative medicine. The Baobab tree, also known as Adansonia digitata L., is significant in Africa due to its multitude of benefits and various parts that serve different purposes, providing economic support to rural communities. The analysis of a plant sample using Fourier transform infrared (FT-IR) spectroscopy detected multiple functional groups, such as carboxyl and aromatic groups. Additionally, gas chromatography-mass spectroscopy (GC-MS) was utilized to identify various compounds present in the sample, including tetrachloroethylene and octyl ester. The results of different assays, such as α-diphenyl-β-picrylhydrazyl (DPPH), superoxide, nitric oxide scavenging assays, and total antioxidant by thiobarbituric acid method (TBA) and ferric thiocyanate (FTC) method, demonstrated a substantial scavenging of free radicals and an effective antioxidant efficacy. The bark's antimicrobial activity was tested through agar diffusion, resulting in a range of zone of inhibition from 10.1 ± 0.36 mm to 20.85 ± 0.76 mm. The minimum inhibitory concentration (MIC) value was observed to be approximately 0.625 µg/mL. The biofilm inhibition percentage ranged from 9.89% to 57.92%, with the highest percentage being 57.92%. The GC-MS and FT-IR studies revealed phytocompounds, which were then analyzed for their potential therapeutic properties. Computational studies were conducted on the phytocompounds against Pseudomonas aeruginosa and C2 kinase (antioxidant). The study concluded that the Adansonia digitata bark extract and its phytocompound have potential therapeutic efficacy against the target proteins. The best docking scores were about -7.053 kcal/mol and -7.573 kcal/mol for Pseudomonas aeruginosa and C2 kinase (antioxidant), respectively. The interaction patterns with the crucial amino acid residues elucidate the inhibitory efficacy of the phytocompounds.
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Affiliation(s)
- Sangavi P.
- Department of BioinformaticsAlagappa University, Karaikudi, Tamil Nadu, India
| | - Gowtham Kumar S.
- Faculty of Allied Health SciencesChettinad Hospital & Research InstituteChettinad Academy of Research and Education (Deemed to be University), Kelambakkam, Tamil Nadu, India
| | - Nachammai KT.
- Department of BiotechnologyAlagappa University, Karaikudi, Tamil Nadu, India
| | - Chandrabose Selvaraj
- CsrDD LAB, Center for Global Health ResearchSaveetha Medical CollegeSaveetha Institute of Medical and Technical Sciences, Chennai, Tamil Nadu, India
| | - Langeswaran K.
- Department of Biomedical ScienceAlagappa University, Karaikudi, Tamil Nadu, India
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Paliwal A, Jain S, Kumar S, Wal P, Khandai M, Khandige PS, Sadananda V, Anwer MK, Gulati M, Behl T, Srivastava S. Predictive Modelling in pharmacokinetics: from in-silico simulations to personalized medicine. Expert Opin Drug Metab Toxicol 2024; 20:181-195. [PMID: 38480460 DOI: 10.1080/17425255.2024.2330666] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2023] [Accepted: 03/11/2024] [Indexed: 03/22/2024]
Abstract
INTRODUCTION Pharmacokinetic parameters assessment is a critical aspect of drug discovery and development, yet challenges persist due to limited training data. Despite advancements in machine learning and in-silico predictions, scarcity of data hampers accurate prediction of drug candidates' pharmacokinetic properties. AREAS COVERED The study highlights current developments in human pharmacokinetic prediction, talks about attempts to apply synthetic approaches for molecular design, and searches several databases, including Scopus, PubMed, Web of Science, and Google Scholar. The article stresses importance of rigorous analysis of machine learning model performance in assessing progress and explores molecular modeling (MM) techniques, descriptors, and mathematical approaches. Transitioning to clinical drug development, article highlights AI (Artificial Intelligence) based computer models optimizing trial design, patient selection, dosing strategies, and biomarker identification. In-silico models, including molecular interactomes and virtual patients, predict drug performance across diverse profiles, underlining the need to align model results with clinical studies for reliability. Specialized training for human specialists in navigating predictive models is deemed critical. Pharmacogenomics, integral to personalized medicine, utilizes predictive modeling to anticipate patient responses, contributing to more efficient healthcare system. Challenges in realizing potential of predictive modeling, including ethical considerations and data privacy concerns, are acknowledged. EXPERT OPINION AI models are crucial in drug development, optimizing trials, patient selection, dosing, and biomarker identification and hold promise for streamlining clinical investigations.
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Affiliation(s)
- Ajita Paliwal
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
| | - Smita Jain
- Department of Pharmacy, Banasthali Vidyapith, Banasthali, India
| | - Sachin Kumar
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India
| | - Pranay Wal
- Department of Pharmacy, Pranveer Singh Institute of Technology, Pharmacy, Kanpur, India
| | - Madhusmruti Khandai
- Department of Pharmacy, Royal College of Pharmacy and Health Sciences, Berahmpur, India
| | - Prasanna Shama Khandige
- NGSM Institute of Pharmaceutical Sciences, Department of Pharmacology, Manglauru, NITTE (Deemed to be University), Manglauru, India
| | - Vandana Sadananda
- AB Shetty Memorial Institute of Dental Sciences, Department of Conservative Dentistry and Endodontics, NITTE (Deemed to be University), Mangaluru, India
| | - Md Khalid Anwer
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Monica Gulati
- School of Pharmaceutical Sciences, Lovely Professional University, Phagwara, India
- ARCCIM, Health, University of Technology, Sydney, Ultimo, Australia
| | - Tapan Behl
- Amity School of Pharmaceutical Sciences, Amity University, Mohali, Punjab, India
| | - Shriyansh Srivastava
- Department of Pharmacy, School of Medical and Allied Sciences, Galgotias University, Greater Noida, India
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University (DPSRU), New Delhi, India
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Datta S, Verma P, Dhara B, Kundu R, Maitra S, Mitra AK, Khan MS, Zughaibi TA, Tabrez S, Kumer A. Interplay of precision therapeutics and MD study: Calocybe indica's potentials against cervical cancer and its interaction with VEGF via octadecanoic acid. J Cell Mol Med 2024; 28:e18302. [PMID: 38652115 PMCID: PMC11037404 DOI: 10.1111/jcmm.18302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/07/2024] [Revised: 02/22/2024] [Accepted: 03/25/2024] [Indexed: 04/25/2024] Open
Abstract
The evolving landscape of personalized medicine necessitates a shift from traditional therapeutic interventions towards precision-driven approaches. Embracing this paradigm, our research probes the therapeutic efficacy of the aqueous crude extract (ACE) of Calocybe indica in cervical cancer treatment, merging botanical insights with advanced molecular research. We observed that ACE exerts significant influences on nuclear morphology and cell cycle modulation, further inducing early apoptosis and showcasing prebiotic attributes. Characterization of ACE have identified several phytochemicals including significant presence of octadeconoic acid. Simultaneously, utilizing advanced Molecular Dynamics (MD) simulations, we deciphered the intricate molecular interactions between Vascular Endothelial Growth Factor (VEGF) and Octadecanoic acid to establish C.indica's role as an anticancer agent. Our study delineates Octadecanoic acid's potential as a robust binding partner for VEGF, with comprehensive analyses from RMSD and RMSF profiles highlighting the stability and adaptability of the protein-ligand interactions. Further in-depth thermodynamic explorations via MM-GBSA calculations reveal the binding landscape of the VEGF-Octadecanoic acid complex. Emerging therapeutic innovations, encompassing proteolysis-targeting chimeras (PROTACs) and avant-garde nanocarriers, are discussed in the context of their synergy with compounds like Calocybe indica P&C. This convergence underscores the profound therapeutic potential awaiting clinical exploration. This study offers a holistic perspective on the promising therapeutic avenues facilitated by C. indica against cervical cancer, intricately woven with advanced molecular interactions and the prospective integration of precision therapeutics in modern oncology.
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Affiliation(s)
- Suhana Datta
- Department of MicrobiologySt. Xavier's CollegeKolkataWest BengalIndia
| | - Preeti Verma
- Department of Botany, Centre of Advanced StudiesUniversity of CalcuttaKolkataWest BengalIndia
| | - Bikram Dhara
- Department of Health SciencesNovel Global Community Educational FoundationHabersham, NSWSydneyAustralia
- Center for Global Health Research, Saveetha Medical College and HospitalSaveetha Institute of Medical and Technical SciencesChennaiIndia
| | - Rita Kundu
- Department of Botany, Centre of Advanced StudiesUniversity of CalcuttaKolkataWest BengalIndia
| | - Swastika Maitra
- Department of Health SciencesNovel Global Community Educational FoundationHabersham, NSWSydneyAustralia
| | - Arup Kumar Mitra
- Department of MicrobiologySt. Xavier's CollegeKolkataWest BengalIndia
| | - Mohd Shahnawaz Khan
- Department of Biochemistry, College of ScienceKing Saud UniversityRiyadhSaudi Arabia
| | - Torki A. Zughaibi
- King Fahd Medical Research CenterKing Abdulaziz UniversityJeddahSaudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddahSaudi Arabia
| | - Shams Tabrez
- King Fahd Medical Research CenterKing Abdulaziz UniversityJeddahSaudi Arabia
- Department of Medical Laboratory Sciences, Faculty of Applied Medical SciencesKing Abdulaziz UniversityJeddahSaudi Arabia
| | - Ajoy Kumer
- Department of Chemistry, Department of Chemistry, College of Arts and SciencesIUBAT‐International University of Business Agriculture & TechnologyDhakaBangladesh
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Bhati R, Zadeng H, Singh E, Kumar A, Jain M, Senthil Kumaran J, Singh AK, Muthukumaran J. Molecular dynamics simulations assisted investigation of phytochemicals as potential lead candidates against anti-apoptotic Bcl-B protein. J Biomol Struct Dyn 2023:1-15. [PMID: 38111145 DOI: 10.1080/07391102.2023.2295385] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 12/11/2023] [Indexed: 12/20/2023]
Abstract
Due to the multifarious nature of cancer, finding a single definitive cure for this dreadful disease remains an elusive challenge. The dysregulation of the apoptotic pathway or programmed cell death, governed by the Bcl-2 family of proteins plays a crucial role in cancer development and progression. Bcl-B stands out as a unique anti-apoptotic protein from the Bcl-2 family that selectively binds to Bax which inhibits its pro-apoptotic function. Although several inhibitors are reported for Bcl-2 family proteins, no specific inhibitors are available against the anti-apoptotic Bcl-B protein. This study aims to address this research gap by using virtual screening of an in-house library of phytochemicals from seven anti-cancer medicinal plants to identify lead molecules against Bcl-B protein. Through pharmacokinetic analysis and molecular docking studies, we identified three lead candidates (Enterolactone, Piperine, and Protopine) based on appreciable drug-likeliness, ADME properties, and binding affinity values. The identified molecules also exhibited specific interactions with critical amino acid residues of the binding cleft, highlighting their potential as lead candidates. Finally, molecular dynamics simulations and MM/PBSA based binding free energy analysis revealed that Enterolactone (CID_114739) and Piperine (CID_638024) molecules were on par with Obatoclax (CID_11404337), which is a known inhibitor of the Bcl-2 family proteins.Communicated by Ramaswamy H. Sarma.
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Affiliation(s)
- Rittik Bhati
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - Hazel Zadeng
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - Ekampreet Singh
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - Ankit Kumar
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - Monika Jain
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - J Senthil Kumaran
- Department of Chemistry, DLR Arts and Science College, Arcot, India
- Department of Science and Humanities, Er. Perumal Manimekalai College of Engineering, Hosur, India
| | - Amit Kumar Singh
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
| | - Jayaraman Muthukumaran
- Department of Biotechnology, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India
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Debnath S, Elgorban AM, Bahkali AH, Eswaramoorthy R, Verma M, Tiwari P, Wang S, Wong LS, Syed A. Exploring the efficacy of 1-amino-cyclopropane-1-carboxylic acid (ACCA) as a natural compound in strengthening maize resistance against biotic and abiotic stressors: an empirical computational study. Front Microbiol 2023; 14:1232086. [PMID: 37637126 PMCID: PMC10457119 DOI: 10.3389/fmicb.2023.1232086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2023] [Accepted: 07/31/2023] [Indexed: 08/29/2023] Open
Abstract
Objective This study aims to understand plant-bacteria interactions that enhance plant resistance to environmental stressors, with a focus on maize (Zea mays L.) and its vulnerability to various pathogenic organisms. We examine the potential of 1-amino-cyclopropane-1-carboxylic acid (ACCA) as a compound to boost maize's resilience against stressors and pathogens. Background With the growing global population and increased food demand, the study of endophytes, comprising bacteria and fungi, becomes crucial. They reside within plant tissues, affecting their hosts either beneficially or detrimentally. Agrobacteria are of specific interest due to their potential to contribute to developing strategies for plant resistance enhancement. Methods We conducted exhaustive research on the defense-related proteins and mechanisms involved in maize-pathogen interactions. The efficacy of ACCA as a natural-compound that could enhance maize's resistance was examined. Results Our research indicates that ACCA, having a binding energy of -9.98 kcal/mol, successfully strengthens maize resistance against pathogenic assaults and drought stress. It plays a crucial protective role in maize plants as they mature, outperforming other ligands in its effectiveness to improve productivity and increase yield. Conclusion Applying ACCA to maize plants has considerable potential in enhancing their resilience and tolerance to stress, proving to be an effective strategy to boost crop yield and productivity. This could help address the increasing global food demand. However, more research is needed to optimize ACCA application methods and to gain a comprehensive understanding of its long-term effects on maize cultivations and the environment.
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Affiliation(s)
- Sandip Debnath
- Department of Genetics and Plant Breeding, Institute of Agriculture, Visva-Bharati University, Sriniketan, India
| | - Abdallah M. Elgorban
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Ali H. Bahkali
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
| | - Rajalakshmanan Eswaramoorthy
- Department of Biochemistry, Centre of Molecular Medicine and Diagnostics (COMMAND), Saveetha Dental College and Hospitals, Saveetha Institute of Medical and Technical Sciences (SIMATS), Chennai, India
| | - Meenakshi Verma
- University Centre for Research and Development, Department of Chemistry, Chandigarh University, Gharuan, Mohali, India
| | - Pragya Tiwari
- Department of Biotechnology, Yeungnam University, Gyeongsan, Republic of Korea
| | - Shifa Wang
- School of Electronic and Information Engineering, Chongqing Three Gorges University, Chongqing, China
| | - Ling Shing Wong
- Faculty of Health and Life Sciences, INTI International University, Nilai, Malaysia
| | - Asad Syed
- Department of Botany and Microbiology, College of Science, King Saud University, Riyadh, Saudi Arabia
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