Computational Identification of Bioactive Molecules from Caralluma stalagmifera L. as Potential VEGFR2 Inhibitors for Endometriosis Treatment

In: Journal of Pharmaceutical Innovation · 2025 · vol. 20(1) · doi:10.1007/s12247-024-09894-y · W4406448702
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AI-generated summary by claude@2026-06+body, 2026-06-13

This study identified ethyl 2-[(4R,6R)-2,2-dimethyl-6-pentyl-1,3-dioxan-4-yl]acetate from Caralluma stalagmifera L. as a potential VEGFR2 inhibitor for endometriosis via computational analysis.

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This computational study used GC-MS to identify phytochemical constituents of Caralluma stalagmifera L., then applied molecular docking and molecular dynamics (MD) simulations to evaluate candidate compounds for inhibition of VEGFR2, a receptor implicated in angiogenesis and inflammation relevant to endometriosis. The lead compound, ethyl 2-[(4R,6R)-2,2-dimethyl-6-pentyl-1,3-dioxan-4-yl]acetate, showed the most favorable VEGFR2 docking score, with MD analyses indicating minimal RMSD/RMSF fluctuations and hydrogen bond formation consistent with stable binding, supported by binding free energy calculations and additional DFT-based electrostatic analyses versus synthetic drugs. A key limitation is that the work is entirely in silico and does not include experimental validation of VEGFR2 inhibition or biological effects in endometriosis models. This paper is centrally about endometriosis — it uses VEGFR2 as the target and frames Caralluma stalagmifera phytochemicals as potential VEGFR2 inhibitors for inflammation in endometriosis.

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Abstract

Objectives Endometriosis is a gynecological condition characterized by the growth of uterine tissue outside the uterus, primarily affecting the peritoneal cavity and disrupting the female reproductive system due to estrogen. This study investigates the potential of phytochemicals from Caralluma stalagmifera L. to inhibit Vascular Endothelial Growth Factor Receptor-2 (VEGFR2), which plays a crucial role in blood vessel formation and inflammation associated with endometriosis.

Methods

Gas Chromatography-Mass Spectrometry (GC-MS) analysis was utilized to identify active compounds in Caralluma stalagmifera L., particularly those with anti-inflammatory properties. Key compounds included ethyl 2-[(4R,6R)-2,2-dimethyl-6-pentyl-1,3-dioxan-4-yl]acetate and Thioacetic acid S-(tetrahydro-2 H-pyran-3-yl) ester. Molecular docking and Molecular Dynamics (MD) simulations were conducted to examine their interactions with VEGFR2.

Results

Among the compounds tested, ethyl 2-[(4R,6R)-2,2-dimethyl-6-pentyl-1,3-dioxan-4-yl]acetate displayed the most favorable docking score with VEGFR2. The stability of this interaction was further supported by Root Mean Square Deviation (RMSD) and Root Mean Square Fluctuation (RMSF) analyses, which demonstrated minimal fluctuations during simulations. Additionally, hydrogen bond formations between the compound and VEGFR2 were observed, suggesting a stable binding environment. The binding free energy calculations reinforced the potential of this compound as a viable inhibitor. Furthermore, Density Functional Theory (DFT) analysis provided insights into the electrostatic properties of the ligand-protein complex, highlighting its stability and interaction dynamics compared to synthetic drugs.

Conclusions

Phytochemicals from Caralluma stalagmifera L., especially ethyl 2-[(4R,6R)-2,2-dimethyl-6-pentyl-1,3-dioxan-4-yl]acetate, show promise in inhibiting VEGFR2, suggesting their potential as therapeutic agents for managing inflammation in endometriosis. Further studies are needed to validate these findings and assess their clinical applications. Similar content being viewed by others Data Availability The data offered in this study are available in this document.

References

Zhang X, Zhang L, Wang Q, Sun X, Dong Y, Xing Y, et al. Exploration of the potential mechanism of Danggui Shaoyao powder in the treatment of endometriosis based on bioinformatics. J Traditional Chin Med Sci. 2019;6:355–64. Zondervan KT, Becker CM, Missmer SA, Endometriosis. Longo DL, editors. 2020;382:1244–56. https://www.nejm.org/doi/full/10.1056/NEJMra1810764 Olive DL, Pritts EA. Treatment of endometriosis. Wood AJJ, editor. 2001;345:266–75. https://www.nejm.org/doi/https://doi.org/10.1056/NEJM200107263450407 Liu F, Wang L, Zhang X-X, Min S-Y, Liu Y-X, Zuo Z, et al. Vascular endothelial growth factor receptor-2 inhibitor cediranib causes regression of endometriotic lesions in a rat model. Int J Clin Exp Pathol. 2015;8:1165–74. Lee K, Jeong KW, Lee Y, Song JY, Kim MS, Lee GS, et al. Pharmacophore modeling and virtual screening studies for new VEGFR-2 kinase inhibitors. Eur J Med Chem. 2010;45:5420–7. Matalliotaki C, Eliopoulos E, Matalliotakis M, Kalogiannidis I, Matalliotakis I, Spandidos DA, et al. Implication of VEGFR2 in endometriosis: a structural biological and genetic approach. World Acad Sci J. 2019;1:283–9. https://doi.org/10.3892/wasj.2019.29/abstract. http://www.spandidos-publications.com/. Leconte M, Santulli P, Chouzenoux S, Marcellin L, Cerles O, Chapron C, et al. Inhibition of MAPK and VEGFR by Sorafenib controls the progression of endometriosis. Reproductive Sci. 2015;22:1171–80. https://link.springer.com/article/10.1177/1933719115592708. Furue A, Hattori K, Hosono K, Tanabe M, Sato E, Honda M, et al. Inhibition of TP signaling promotes endometriosis growth and neovascularization. Mol Med Rep. 2023;28:192. https://pmc.ncbi.nlm.nih.gov/articles/PMC10502949/. MacHado DE, Berardo PT, Palmero CY, Nasciutti LE. Higher expression of vascular endothelial growth factor (VEGF) and its receptor VEGFR-2 (Flk-1) and metalloproteinase-9 (MMP-9) in a rat model of peritoneal endometriosis is similar to cancer diseases. J Exp Clin Cancer Res. 2010;29:4. https://pmc.ncbi.nlm.nih.gov/articles/PMC2826344/. Chung MS, Han SJ. Endometriosis-associated angiogenesis and anti-angiogenic therapy for endometriosis. Front Glob Womens Health. 2022;3:856316. www.frontiersin.org. Shi J, Tan X, Feng G, Zhuo Y, Jiang Z, Banda S, et al. Research advances in drug therapy of endometriosis. Front Pharmacol. 2023;14:1199010. Hull ML, Charnock-Jones DS, Chan CLK, Bruner-Tran KL, Osteen KG, Tom BDM, et al. Antiangiogenic agents are effective inhibitors of endometriosis. J Clin Endocrinol Metab. 2003;88:2889–99. https://doi.org/10.1210/jc.2002-021912. Baammi S, El Allali A, Daoud R. Unleashing Nature’s potential: a computational approach to discovering novel VEGFR-2 inhibitors from African natural compound using virtual screening, ADMET analysis, molecular dynamics, and MMPBSA calculations. Front Mol Biosci. 2023;10:1227643. https://sancdb.rubi.ru.ac.za/. Bao J, Zhou N, Luo K, Zhang W, Li X, Wu C, et al. In Silico Discovery of potential VEGFR-2 inhibitors from natural derivatives for anti-angiogenesis therapy. Int J Mol Sci. 2014;15:15994. https://pmc.ncbi.nlm.nih.gov/articles/PMC4200799/. Nayarisseri A, Abdalla M, Joshi I, Yadav M, Bhrdwaj A, Chopra I, et al. Potential inhibitors of VEGFR1, VEGFR2, and VEGFR3 developed through deep learning for the treatment of Cervical Cancer. Sci Rep 2024. 2024;14:1. https://www.nature.com/articles/s41598-024-63762-w. Parveen A, Subedi L, Kim HW, Khan Z, Zahra Z, Farooqi MQ, et al. Phytochemicals targeting VEGF and VEGF-related multifactors as anticancer therapy. J Clin Med. 2019;8:350. https://pmc.ncbi.nlm.nih.gov/articles/PMC6462934/. Ramachandra NM, Subbiah K. Micropropagation of Caralluma stalagmifera var. Longipetala: a rare succulent medicinal plant from Karnataka, India. Afr J Biotechnol. 2014;13:3553–9. https://www.ajol.info/index.php/ajb/article/view/122235. Naik MR, Joga JR. N N, B N, N S, P C, Micropropagation of Caralluma adscendens var. fimbriata-an indigenous medicinal plant of India. Nat Prod Chem Res. 2017;05. Sreelatha VR, Thippeswamy M, Pullaiah T. In vitro callus induction and plant regeneration from internodal explants of Caralluma stalagmifera fischer. Int J Adv Res (Indore). 2015; 3(2), 472–480. http://www.journalijar.com Farouk A-E, Ahamed NT, Alzahrani O, Alamer K, Al-Sodany Y, Bahobail AA. Antimicrobial activity of Caralluma quadrangula (Forssk) N.E. Br latex from Al-Shafa Taif, Kingdom of Saudi Arabia. IntJCurrMicrobiolAppSci. 2016;5. https://doi.org/10.20546/ijcmas. Ashokkumar R, Ramaswamy M. Phytochemical screening by FTIR spectroscopic analysis of leaf extracts of selected Indian Medicinal plants. Int J Curr Microbiol App Sci, 2014; 3–1, 395–406. http://www.ijcmas.com Qadir U, Paul VI, Ganesh P. Preliminary phytochemical screening and in vitro antibacterial activity of Anamirta cocculus (Linn.) Seeds. J King Saud Univ Sci. 2015;27:97–104. Abioye EO, Akinpelu DA, Aiyegoro OA, Adegboye MF, Oni MO, Okoh AI. Preliminary phytochemical screening and antibacterial properties of crude stem bark extracts and fractions of parkia biglobosa (Jacq.). Molecules. 2013;18:8485–99. https://www.mdpi.com/1420-3049/18/7/8485/htm Aiyegoro OA, Okoh AI. Preliminary phytochemical screening and in vitro antioxidant activities of the aqueous extract of Helichrysum longifolium DC. BMC Complement Altern Med. 2010;10:1–8. https://doi.org/10.1186/1472-6882-10-21. https://link.springer.com/articles/. Harborne AJ, Harborne JB. Jeffrey B). Phytochemical methods a guide to modern techniques of Plant | A.J. Harborne | Springer. XIV; 1998. p. 302. http://www.springer.com/us/book/9780412572609. Rao V, Mallikarjunarao D, Kumar S, Theepireddy R, Chinthala R, Rao LV, et al. The isolation, characterization and quantification of gallic acid from the fruit extract of Terminalia chebula the isolation, characterization and quantification of gallic acid from the fruit extract of Terminalia chebula. Int J Med Pharm Res. 2015;3:983–8. https://www.researchgate.net/publication/284726701. Kim S, Chen J, Cheng T, Gindulyte A, He J, He S, et al. PubChem in 2021: new data content and improved web interfaces. Nucleic Acids Res. 2021;49:D1388–95. https://doi.org/10.1093/nar/gkaa971. David TI, Adelakun NS, Omotuyi OI, Metibemu DS, Ekun OE, Eniafe GO, et al. Molecular docking analysis of phyto-constituents from Cannabis sativa with pfDHFR. Bioinformation. 2018;14:574. https://pmc.ncbi.nlm.nih.gov/articles/PMC6563669/. Burley SK, Bhikadiya C, Bi C, Bittrich S, Chen L, Crichlow GV, et al. RCSB Protein Data Bank: powerful new tools for exploring 3D structures of biological macromolecules for basic and applied research and education in fundamental biology, biomedicine, biotechnology, bioengineering and energy sciences. Nucleic Acids Res. 2021;49:D437–51. Pradiba D, Aarthy M, Shunmugapriya V, Singh SK, Vasanthi M. Structural insights into the binding mode of flavonols with the active site of matrix metalloproteinase-9 through molecular docking and molecular dynamic simulations studies. J Biomol Struct Dyn. 2018;36:3718–39. https://pubmed.ncbi.nlm.nih.gov/29068268/. Jorgensen WL, Maxwell DS, Tirado-Rives J. Development and testing of the OPLS all-atom force field on conformational energetics and properties of organic liquids. J Am Chem Soc. 1996;118:11225–36. https://doi.org/10.1021/ja9621760. Alturki NA, Mashraqi MM, Alzamami A, Alghamdi YS, Alharthi AA, Asiri SA et al. In-silico screening and molecular dynamics simulation of Drug Bank experimental compounds against SARS-CoV-2. Molecules. 2022;27:4391. https://www.mdpi.com/1420-3049/27/14/4391/htm kumar BH, Manandhar S, Mehta CH, Nayak UY, Pai KSR. Structure-based docking, pharmacokinetic evaluation, and molecular dynamics-guided evaluation of traditional formulation against SARS-CoV-2 spike protein receptor bind domain and ACE2 receptor complex. Chemical Papers. 2022;76:1063–83. https://link.springer.com/article/10.1007/s11696-021-01917-z Dwivedi PSR, Patil R, Khanal P, Gurav NS, Murade VD, Hase DP, et al. Exploring the therapeutic mechanisms of Cassia glauca in Diabetes mellitus through network pharmacology, molecular docking and molecular dynamics. RSC Adv. 2021;11:39362–75. https://pubs.rsc.org/en/content/articlehtml/2021/ra/d1ra07661b. Halgren T. New Method for fast and accurate binding-site identification and analysis. Chem Biol Drug Des. 2007;69:146–8. https://doi.org/10.1111/j.1747-0285.2007.00483.x. Hossain R, Sarkar C, Hassan SMH, Khan RA, Arman M, Ray P, et al. In silico screening of natural products as potential inhibitors of SARS-CoV-2 using molecular docking simulation. Chin J Integr Med. 2022;28:249–56. https://pubmed.ncbi.nlm.nih.gov/34913151/. Yadav R, Hasan S, Mahato S, Celik I, Mary YS, Kumar A, et al. Molecular docking, DFT analysis, and dynamics simulation of natural bioactive compounds targeting ACE2 and TMPRSS2 dual binding sites of spike protein of SARS CoV-2. J Mol Liq. 2021;342:116942. Al-Dhuayan I, Alaqeel NK. Molecular docking, ADMET and molecular dynamics simulation revealed metralindole as a multitargeted inhibitor for division kinases. Brazilian J Biology. 2023;83:e271688. https://www.scielo.br/j/bjb/a/f6tgRPStdr8hGsbsXVTCZ7D/?lang=en. Repasky MP, Shelley M, Friesner RA. Flexible ligand docking with glide. Curr Protoc Bioinf. 2007;18:8121–81236. https://onlinelibrary.wiley.com/doi/full/10.1002/0471250953.bi0812s18. Zhou Z, Felts AK, Friesner RA, Levy RM. Comparative performance of several flexible docking programs and scoring functions: enrichment studies for a diverse set of pharmaceutically relevant targets. J Chem Inf Model. 2007;47:1599. https://pmc.ncbi.nlm.nih.gov/articles/PMC2547888/. Friesner RA, Banks JL, Murphy RB, Halgren TA, Klicic JJ, Mainz DT, et al. Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy. J Med Chem. 2004;47:1739–49. Patel R, Prajapati J, Rao P, Rawal RM, Saraf M, Goswami D. Repurposing the antibacterial drugs for inhibition of SARS-CoV2-PLpro using molecular docking, MD simulation and binding energy calculation. Mol Divers. 2022;26:2189–209. https://doi.org/10.1007/s11030-021-10325-0. https://link.springer.com/article/. Wang W, Donini O, Reyes CM, Kollman PA. Biomolecular simulations: Recent developments in force fields, simulations of enzyme catalysis, protein-ligand, protein-protein, and protein-nucleic acid noncovalent interactions. Annu Rev Biophys Biomol Struct. 2001;30:211–43. https://www.annualreviews.org/content/journals/10.1146/annurev.biophys.30.1.211 Wang J, Hou T, Xu X. Recent advances in Free Energy calculations with a combination of molecular mechanics and Continuum models. Curr Comput Aided-Drug Des. 2006;2:287–306. Osman EA, Abdalla MA, Abdelraheem MO, Ali MF, Osman SA, Tanir YM, et al. Design of novel coumarins as potent Mcl-1 inhibitors for cancer treatment guided by 3D-QSAR, molecular docking and molecular dynamics. Inf Med Unlocked. 2021;26:100765. Kollman PA, Massova I, Reyes C, Kuhn B, Huo S, Chong L, et al. Calculating structures and free energies of complex molecules: combining molecular mechanics and continuum models. Acc Chem Res. 2000;33:889–97. https://doi.org/10.1021/ar000033j. Joseph Sahayarayan J, Soundar Rajan K, Nachiappan M, Prabhu D, Guru Raj Rao R, Jeyakanthan J, et al. Identification of potential drug target in malarial disease using molecular docking analysis. Saudi J Biol Sci. 2020;27:3327–33. Gupta SS, Kumar A, Shankar R, Sharma U. In silico approach for identifying natural lead molecules against SARS-COV-2. J Mol Graph Model. 2021;106:107916. Mishra N, Maurya AK, Mulpuru V. Discovery of novel coumarin analogs against the α-glucosidase protein target of diabetes mellitus: pharmacophore-based QSAR, docking, and molecular dynamics simulation studies. ACS Omega. 2020;5:32234–49. https://doi.org/10.1021/acsomega.0c03871. Van Der Spoel D, Lindahl E, Hess B, Groenhof G, Mark AE, Berendsen HJC. GROMACS: fast, flexible, and free. J Comput Chem. 2005;26:1701–18. https://onlinelibrary.wiley.com/doi/full/10.1002/jcc.20291. Aminu S, Danazumi AU, Alhafiz ZA, Gorna MW, Ibrahim MA. β-sitosterol could serve as a dual inhibitor of trypanosoma congolense sialidase and phospholipase A2: in vitro kinetic analyses and molecular dynamic simulations. Mol Divers. 2023;27:1645–60. https://pubmed.ncbi.nlm.nih.gov/36042119/. Almasoudi HH, Nahari MH, Alhazmi AYM, Almasabi SHA, Al-Mansour FSH, Hakami MA. Delineating pixantrone maleate’s adroit activity against cervical cancer proteins through multitargeted docking-based MM\GBSA, QM-DFT and MD simulation. PLoS ONE. 2023;18:e0295714. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0295714. Karwasra R, Ahmad S, Bano N, Qazi S, Raza K, Singh S et al. Macrophage-targeted punicalagin nanoengineering to alleviate methotrexate-induced neutropenia: a molecular docking, DFT, and MD simulation analysis. Molecules. 2022;27:6034. https://www.mdpi.com/1420-3049/27/18/6034/htm Bouback TA, Pokhrel S, Albeshri A, Aljohani AM, Samad A, Alam R et al. Pharmacophore-based virtual screening, quantum mechanics calculations, and molecular dynamics simulation approaches identified potential natural antiviral drug candidates against MERS-CoV S1-NTD. Molecules. 2021;26:4961. https://www.mdpi.com/1420-3049/26/16/4961/htm Ahmed N, Perveen FF, Akter M, Mamun A, Al, Islam MN. Harnessing the therapeutic potential of Coccinia grandis phytochemicals in diabetes: a computational, DFT calculation and MMGBSA perspective on aldose reductase inhibition. Inf Med Unlocked. 2024;46:101477. Binshaya AS, Alkahtani OS, Aldakheel FM, Hjazi A, Almasoudi HH. Structure-based multitargeted docking screening, pharmacokinetics, DFT, and dynamics simulation studies reveal mitoglitazone as a potent inhibitor of cellular survival and stress response proteins of lung cancer. Med Oncol. 2024;41:1–15. https://doi.org/10.1007/s12032-024-02342-4. https://link.springer.com/article/. Sabitha Rani Professor A, Prabhakar Assistant Professor G, Author C, Veerabhadraiah T, Sabitha Rani A, Prabhakar G, et al. Phytochemical analysis of Caralluma Stalagmifera C.E.C. Fisch, an endemic and important medicinal plant. J Pharmacogn Phytochem. 2024;13:291–3. https://www.phytojournal.com/archives/2024.v13.i3.14969/phytochemical-analysis-of-caralluma-stalagmifera-cec-fisch-an-endemic-and-important-medicinal-plant. Gomathi D, Kalaiselvi M, Ravikumar G, Devaki K, Uma C. GC-MS analysis of bioactive compounds from the whole plant ethanolic extract of Evolvulus alsinoides (L.) L. J Food Sci Technol. 2015;52:1212–7. https://doi.org/10.1007/s13197-013-1105-9. https://link.springer.com/article/. Anwar R, Rabail R, Rakha A, Bryla M, Roszko M, Aadil RM et al. Delving the role of Caralluma fimbriata: An edible wild plant to mitigate the biomarkers of metabolic syndrome. Oxid Med Cell Longev. 2022; 2022. https://pubmed.ncbi.nlm.nih.gov/35770046/#:~:text=Besides%20its%20main%20nutrient%20contents%2C%20various%20bioactive%20constituents,make%20C.%20fimbriata%20an%20invaluable%20plant%20against%20MS. Hekmat S, Sharifzadeh M, Toliyat T, Savary Kouzehkonan R, Mehri Ardestani M, Tabarrai M, et al. Urtica pilulifera L. seed extract promotes folliculogenesis and alleviates the diminished ovarian reserve in the Balb/c mice model: an experimental study. Int J Reprod Biomed. 2024;22:111. https://pmc.ncbi.nlm.nih.gov/articles/PMC11017208/#:~:text=Urtica%20pilulifera%20L.%20seed%20%28UPS%29%20is%20a%20Persian,%28DOR%29%20model%20induced%20by%20cyclophosphamide%20in%20Balb%2Fc%20mice.. Aguoru CU, Bashayi CG, Ogbonna IO. Phytochemical profile of stem bark extracts of Khaya senegalensis by Gas Chromatography-Mass Spectrometry (GC-MS) analysis. J Pharmacognosy Phytotherapy. 2017;9:35–43. https://academicjournals.org/journal/JPP/article-abstract/5858D3063028. Krishnamoorthy K, Subramaniam P. Phytochemical profiling of Leaf, Stem, and Tuber Parts of Solena Amplexicaulis (Lam.) Gandhi Using GC-MS. Int Sch Res Notices. 2014;2014:567409. https://doi.org/10.1155/2014/567409. https://onlinelibrary.wiley.com/doi/full/. Das D, Pal K, Sahana N, Mondal P, Das A, Chowdhury S, et al. Evaluation of morphological and biochemical parameters and antioxidant activity and profiling of volatile compounds in fifteen Dolichos bean (Lablab purpureus L.) genotypes of India. Food Chem Adv. 2023;2:100164. Teixeira A, Sánchez-Hernández E, Noversa J, Cunha A, Cortez I, Marques G, et al. Antifungal activity of plant waste extracts against phytopathogenic fungi: Allium sativum peels extract as a promising product targeting the fungal plasma membrane and cell wall. Horticulturae. 2023;9:136. https://www.mdpi.com/2311-7524/9/2/136/htm. Jemal K. Molecular docking studies of phytochemicals of Allophylus serratus against cyclooxygenase-2 enzyme. bioRxiv. 2019;866152. https://www.biorxiv.org/content/10.1101/866152v1 Barrientos RE, Ahmed S, Cortés C, Fernández-Galleguillos C, Romero-Parra J, Simirgiotis MJ et al. Chemical Fingerprinting and Biological Evaluation of the Endemic Chilean Fruit Greigia sphacelata (Ruiz and Pav.) Regel (Bromeliaceae) by UHPLC-PDA-Orbitrap-Mass Spectrometry. Molecules 2020, Vol 25, Page 3750. 2020;25:3750. https://www.mdpi.com/1420-3049/25/16/3750/htm Musa M, Jan G, Jan FG, Hamayun M, Irfan M, Rauf A, et al. Pharmacological activities and gas chromatography–mass spectrometry analysis for the identification of bioactive compounds from Justicia adhatoda L. Front Pharmacol. 2022;13:922388. Vajha M, Chillara SRK. Evaluation of cellular antioxidant activity of selected species of Caralluma and Boucerosia on cell lines. Int J Appl Sci Biotechnol. 2014;2:83–7. https://nepjol.info/index.php/IJASBT/article/view/9649. Ali A, Mashwani ZUR, Ahmad I, Raja NI, Mohammad S, Khan SU. Plant in vitro cultures: a promising and emerging technology for the feasible production of antidiabetic metabolites in Caralluma tuberculata. Front Endocrinol (Lausanne). 2022;13:1029942. Malladi S, Nadh Ratnakaram V, Suresh Babu K, Sreenivasulu M. Pharmacological review of Caralluma r.br: a potential Herbal Genus. Asian J Pharm (AJP). 2018;12:1146. http://www.asiapharmaceutics.info/index.php/ajp/article/view/2903. Kiros T, Mohammed S, Dekebo A, Melaku Y. In silico pharmacokinetics properties and in vitro bioactivities of pregnane derivatives and other compounds from stems of Caralluma speciosa. Nat Prod Commun. 2023;18. https://doi.org/10.1177/1934578X231220110. Matalliotaki C, Eliopoulos E, Matalliotakis M, Kalogiannidis I, Matalliotakis I, Spandidos DA, et al. Implication of VEGFR2 in endometriosis: a structural biological and genetic approach. World Acad Sci J. 2019;1:283–9. Ghahremanian S, Rashidi MM, Raeisi K, Toghraie D. Molecular dynamics simulation approach for discovering potential inhibitors against SARS-CoV-2: a structural review. J Mol Liq. 2022;354:118901. https://pmc.ncbi.nlm.nih.gov/articles/PMC8916543/. Bouquet de Joliniere J, Fruscalzo A, Khomsi F, Stochino Loi E, Cherbanyk F, Ayoubi JM, et al. Antiangiogenic therapy as a New Strategy in the treatment of endometriosis? The First Case Report. Front Surg. 2021;8:791686. www.frontiersin.org. Rein DT, Schmidt T, Bauerschmitz G, Hampl M, Beyer IM, Paupoo AAV, et al. Treatment of endometriosis with a VEGF targeted conditionally replicative adenovirus. Fertil Steril. 2009;93:2687. https://pmc.ncbi.nlm.nih.gov/articles/PMC6636324/. Nap AW, Griffioen AW, Dunselman GAJ, Bouma-Ter Steege JCA, Thijssen VLJL, Evers JLH, et al. Antiangiogenesis therapy for endometriosis. J Clin Endocrinol Metab. 2004;89:1089–95. https://doi.org/10.1210/jc.2003-031406.

Acknowledgements

JJSR thanks Alagappa University: DST- Fund for Improvement of S&T Infrastructure in Universities and Higher Educational Institutions (FIST) (SR/FST/LSI-667/2016)(C); DST-Promotion of University Research and Scientific Excellence (PURSE) (No. SR/PURSE Phase 2/38 (G), 2017 and MHRD-RUSA 2.0, New Delhi (F.24-51/2014-U, Policy (TNMulti-Gen), Dept. of Edn. Govt. of India, Dt.09.10.2018. Tamil Nadu State Council for Higher Education (TANSCHE-RGP) (RGP/2019-20/BU/HECP-0018; Dt.27.04.2021). This research was supported by Researchers Supporting Project number (RSP2025R27), King Saud University, Riyadh, Saudi Arabia. We are thankful for the support provided by UCSI University for the support provided by the Research Excellence and Innovation Grant (REIG) with code REIG-FPS-2022/036. Funding N/A. Author information Authors and Affiliations Contributions S. Balasubramanian: Conceptualization, Investigation, data validation and writing original draft. J. Joseph Sahayarayan: Project administration, Conceptualization, Supervision, writing review and editing. M. Arun: Validation and writing review. K. Soundar Rajan: Writing draft. C. Rajasekar & R. Rajendran: Conceptualization and methodology for phytochemical analysis, Writing review. Saud Alarifi: Writing review. Anis Ahamed: Writing review. Ravishankar Ram Mani: Project administration, Conceptualization, Editing and Writing review. Soon Woong Chang: Writing review. Balasubramani Ravindran: Editing and Writing review. Corresponding authors Ethics declarations Ethical Approval There is no ethical issue in this work. Institutional Review Board N/A. Conflict of Interest N/A. Additional information Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. Rights and permissions Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. About this article Cite this article Jesudass, J.S., Sivaprakasam, B., Kulanthaivel, S.R. et al. Computational Identification of Bioactive Molecules from Caralluma stalagmifera L. as Potential VEGFR2 Inhibitors for Endometriosis Treatment. J Pharm Innov 20, 18 (2025). https://doi.org/10.1007/s12247-024-09894-y Accepted: Published: Version of record: DOI: https://doi.org/10.1007/s12247-024-09894-y

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endometriosis

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Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. [ expand to 2 hops ] — adds papers reached through this work's immediate citers/citees. Heavier; up to 60 extra dots.

References (70)

Source provenance

openalex
last seen: 2026-06-10T17:14:06.276822+00:00
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