Series-1 (Sep. – Oct. 2025) Sep. – Oct. 2025 Issue Statistics
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Abstract: The 21 st century witnessed an accelerating convergence of three paradigm shifting technologies: stem cell biology, genomic engineering and artificial intelligence. Although both disciplines are strong individually, the combination of the two disciplines is providing new possibilities in the medical field to an unfathomable degree. This paper will comment on this synergy by looking at how artificial intelligence (AI) is making CRISPR-Cas9 gene editing of stem cells more accurate and more effective. This is the highly potent duo that is transforming science fiction therapies into something that is tangible in their existence.
[1].
[Induced Pluripotent Stem Cells] Takahashi, K., & Yamanaka, S. (2006). Induction Of Pluripotent Stem Cells From Mouse Embryonic And Adult Fibroblast Cultures By Defined Factors. Cell, 126(4), 663–676.
[2].
[Foundational CRISPR-Cas9 Discovery] Jinek, M., Chylinski, K., Fonfara, I., Hauer, M., Doudna, J. A., & Charpentier, E. (2012). A Programmable Dual-RNA-Guided DNA Endonuclease In Adaptive Bacterial Immunity. Science, 337(6096), 816–821.
[3].
[CRISPR-Cas9 In Human Cells] Cong, L., Ran, F. A., Cox, D., Lin, S., Barretto, R., Habib, N., ... & Zhang, F. (2013). Multiplex Genome Engineering Using CRISPR/Cas Systems. Science, 339(6121), 819–823.
[4].
[AI For On-Target Grna Design - Deepcrispr] Chuai, G., Ma, H., Yan, J., Chen, M., Hong, N., Xue, D., ... & Wei, J. (2018). Deepcrispr: A Deep Learning-Based Model For The Prediction Of CRISPR/Cas9 Guide RNA Cleavage Efficiency. BMC Bioinformatics, 19(1), 1-12.
[5].
[AI For On-Target Grna Design - Azimuth] Doench, J. G., Fusi, N., Sullender, M., Hegde, M., Vaimozhang, E. W., Thompson, J. F., ... & Root, D. E. (2016). Optimized Sgrna Design To Maximize Activity And Minimize Off-Target Effects For Genetic Screens With CRISPR-Cas9. Nature Biotechnology, 34(2), 184–191.
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Abstract: The study investigated the biochemical and hematological effects of the ethanol leaf extract of Cnidoscolus aconitifolius in testosterone propionate-induced benign prostate hyperplasia (BPH) rats. Thirty male albino rats were divided into six groups of 5 rats each. Group 1 received subcutaneous administration of 1 ml/kg body weight of olive oil and 1 ml/kg of distilled water orally. Groups 2 to 6 were induced with BPH through daily subcutaneous injection of 3 mg/kg testosterone propionate followed by oral administration of the extract. Group 2 received 1 ml/kg distilled water; Group 3 received.......
Keywords: Cnidoscolus aconitifolius, benign prostate hyperplasia, haematology, dihydrotestosterone, ethanol leaf-extract.
[1]. Ajiboye BO, Oyinloye BE, Agboinghale PE, Ojo OA. Cnidoscolus Aconitifolius (Mill.) I. M. Johnst Leaf Extract Prevents Oxidative Hepatic Injury And Improves Muscle Glucose Uptake Ex Vivo. Journal Of Food Biochemistry, (2019); 43(12): 1-8.
[2]. Atata JA, Ayoola TO, Ajadi AA, Adamu S, Olatunji AO, Biobaku KT. Anti-Anaemic Effect Of Ethanol Leaf Extract Of Cnidosculusaconitifolius On Cyclophosphomide-Induced Anemia In Rats. Journal Of Complementary And Integrative Medicine, (2020); 18(1): 87–92.
[3].
Atroshchenko MM, Shitikova AM, Krokhotina LV, Engalycheva MG, Dmitrieva MN. Effect Of Testosterone, Dihydrotestosterone, Estradiol And Cortisol On The Quality Of Fresh And Cryopreserved Stallion Sperm.Journal Of Experimental Biology And Agricultural Sciences, (2022); 10(3): 619 – 627.
[4]. Bautista-Robles V, Guerrero-Reyes G, Sánchez-Torres GI, Parada-Luna F, Barrios-Gutiérrez JJ, Vázquez-Cerero D, Keita H. Cnidoscolus Aconitifolius: Usosterapéuticos Y Propiedadesfitoquímicas. Revisión De La Literatura. Revista De La Facultad De Medicina, (2020); 68(3): 1-8.
[5]. Bhattacharjee P, Bhattacharyya D. Characterization Of The Aqueous Extract Of The Root Of Aristolochia Indica: Evaluation Of Its Traditional Use As An Antidote For Snake Bites. Journal Of Ethnopharmacology, (2013);145(1):220-226.
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Abstract: In order to find novel inhibitors that target the Isocitrate Dehydrogenase 1 R132Q mutant (IDH1-R132Q), a major oncogenic driver in secondary glioblastoma (GBM), this paper describes a Structure-Based Drug Design (SBDD) approach. We described the allosteric regulatory site using the high-resolution X-ray crystal structure (PDB: 8VHB), which was confirmed by strict quality metrics (ERRAT: 97.9%; PROCHECK: 91.4% preferred). The best binding.......
Keywords: SDBD, Biopython, IDH1-R132Q, Glioblastoma, Structure Analysis, Sequence Alignment.
[1].
Abou-Ghanem, A., Farooq,
[2].
O., Liew, M., & Zein, A. (2023). Looking Beyond The Surface: Olutasidenib And Ivosidenib For The Treatment Of Mutant Idh1 Aml. Pharmacists’ Applications To Practice, 13(1), 12–16.
[3].
Berman, H. M., Westbrook, J., Feng, Z., Gilliland, G., Bhat, T. N., Weissig, H., Shindyalov, I. N., & Bourne, P. E. (2000). The Protein Data Bank. Nucleic Acids Research, 28(1), 235–242. Https://Doi.Org/10.1093/Nar/28.1.235
[4].
Clinicaltrials.Gov. (2023). A Phase 1 Study Of Ds-1001b In Patients With Recurrent Or Progressive Idh1-Mutant Gliomas (Nct05303519). National Library Of Medicine (Us). Https://Clinicaltrials.Gov/Study/Nct05303519
[5].
Colovos, C., & Yeates, T. O. (1993). Verification Of Protein Structures: Patterns Of Nonbonded Atomic Interactions. Protein Science, 2(9), 1511–1519. Https://Doi.Org/10.1002/Pro.5560020914
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Abstract: Coffee Husks Powder (CHP) was evaluated for potential application in adsorptive removal of recalcitrant Basic Blue 3 (BB3) dye from aqueous solution. Basic Blue 3 dye is among extensively used colorant in textile industries to impart color while posing serious ecological challenges and health related risks. Batch adsorption experiments were designed ascertain the influence of pH, dye concentration, adsorbent dose, and contact time in dye removal by CHP. Dye.......
Keywords: Basic Blue 3 Dye, Coffee Husks Powder, adsorption, kinetics, equilibrium
[1] U. Roy Et Al., “Dye Removal Using Microbial Biosorbents,” In Green Adsorbents For Pollutant Removal, Vol. 19, G. Crini And E. Lichtfouse, Eds., In Environmental Chemistry For A Sustainable World, Vol. 19. , Cham: Springer International Publishing, 2018, Pp. 253–280. Doi: 10.1007/978-3-319-92162-4_8.
[2] S. Hussain, N. Khan, S. Gul, S. Khan, And H. Khan, “Contamination Of Water Resources By Food Dyes And Its Removal Technologies,” In Water Chemistry, M. Eyvaz And E. Yüksel, Eds., Intechopen, 2020. Doi: 10.5772/Intechopen.90331.
[3] J. N. Wekoye, W. C. Wanyonyi, And P. T. Wangila, “Adsorption Of Recalcitrant Malachite Green Dye From Aqueous Solution Using Cabbage Waste Powder,” Presented At The Technologies And Materials For Renewable Energy, Environment, And Sustainability: Tmrees23fr, Metz, France: Aip Publishing, 2023, P. 020002. Doi: 10.1063/5.0172478.
[4] W. C. Wanyonyi, J. M. Onyari, P. M. Shiundu, And F. J. Mulaa, “Biodegradation And Detoxification Of Malachite Green Dye Using Novel Enzymes From Bacillus Cereus Strain Km201428: Kinetic And Metabolite Analysis,” Energy Procedia, Vol. 119, Pp. 38–51, July 2017, Doi: 10.1016/J.Egypro.2017.07.044.
[5] S. Asad, M. A. Amoozegar, A. A. Pourbabaee, M. N. Sarbolouki, And S. M. M. Dastgheib, “Decolorization Of Textile Azo Dyes By Newly Isolated Halophilic And Halotolerant Bacteria,” Bioresour. Technol., Vol. 98, No. 11, Pp. 2082–2088, Aug. 2007, Doi: 10.1016/J.Biortech.2006.08.020.
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Abstract: Artificial intelligence (AI) may be a game-changer for farmers coping with the escalating problems of climate change. AI models can predict and mitigate the wide-ranging impacts of climate change on agriculture, providing farmers with state-of-the-art tools to aid in their decision-making. As environmental issues intensify, AI integration is starting to move the game for climate-resilient agriculture. The advantages of AI and climate research working together in concert to recognize climate-related risks, namely, extreme weather, altered precipitation patterns, and new pest concerns. A thorough analysis is conducted of the possible advantages and challenges of widespread AI application in various...
Key words: Agriculture, artificial intelligence, climate resilient, food system, healthcare
[1].
van der Lee M, Swen JJ. (2023). Artificial Intelligence in Pharmacology Research and Practice. Clin Transl Sci 16(1):31–36.
[2].
Roche-Lima A, et al. (2020). Machine earning Algorithm for Predicting Warfarin Dose in Caribbean hispanics Using Pharmacogenetic Data. Front Pharmacol. 10:1550.
[3].
Xiao Q, et al. (2021). High-throughput Proteomics and AI for Cancer Biomarker Discovery. Adv Drug Deliv Rev 176:113844.
[4].
Mund A, et al. (2021). AI-driven Deep Visual Proteomics Defines Cell Identity and Heterogeneity. BioRxiv 2021.
[5].
Petrick LM, Shomron N. (2022). AI/ML-Driven Advances in Untargeted Metabolomics and Exposomics for Biomedical Applications. Cell Rep Phys Sci 3:7.
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Abstract: Nanotechnology has been an area of research in recent years since it is possible to synthesize materials with normal properties at the nanoscale. Among them, silver nanoparticles (AgNPs) are particularly interesting due to their antimicrobial, antioxidant, anticancer, and catalytic properties. Conventional physical and chemical routes used for the synthesis of AgNPs involve the use of harmful chemicals, high energy input, or costly apparatus, thereby posing environmental and safety risks. Due to these limitations, green synthesis using plant extracts has been.....
Keywords- Nanotechnology, Green Synthesis, Silver Nanoparticles (AgNPs), Phytochemicals, Antimicrobial Activity, Biomedical Applications, Environmental Remediation
[1].
Ahmed, S., Ahmad, M., Swami, B. L., & Ikram, S. (2016). Green synthesis of silver nanoparticles using plant extracts: A review. Advances in Colloid and Interface Science, 229, 66-79. https://doi.org/10.1016/j.cis.2016.03.014
[2].
Iravani, S. (2019). Green synthesis of metal nanoparticles using plants. Green Chemistry, 21(10), 5083-5100. https://doi.org/10.1039/C9GC01812K
[3].
Verma, A., & Mehata, M. S. (2019). Controllable synthesis of silver nanoparticles using plant extracts. Materials Research Express, 6(11), 112004. https://doi.org/10.1088/2053-1591/ab4a4a
[4].
Das, R. K., Pachapur, V. L., Lonappan, L., & others. (2020). Biological synthesis of metallic nanoparticles: Plants, animals and microbial aspects. Nanotechnology for Environmental Engineering, 5, 18. https://doi.org/10.1007/s41204-020-00129-8
[5].
Kuppusamy, P., Yusoff, M. M., Maniam, G. P., & Govindan, N. (2016). Biosynthesis of metallic nanoparticles using plant derivatives and their new avenues in pharmacological applications. Saudi Pharmaceutical Journal, 24(4), 473-484. https://doi.org/10.1016/j.jsps.2014.11.013.
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Abstract: This study presents an innovative systems-level framework that integrates polymeric nanoparticle (PNP)-based drug delivery with antiretroviral therapy (ART) for enhanced HIV-1 suppression and immune modulation. PEGylated PLGA nanoparticles encapsulating Tenofovir and Efavirenz were designed for controlled release, cellular uptake, and biodegradability. HIV-1 IIIB–infected CD4+ T cells and macrophages were assigned to four groups: Control, ART, PNP, and PNP+ART. Evaluations using ddPCR, ELISA, Western blot, RT-PCR, and proteomics revealed.......
Keywords: HIV-1, Immune Modulation, Polymeric Nanoparticles, Multi-Omics Integration, ART, Cytokine Dynamics, Viral Suppression
[1].
Popli, P., Meduri, R. T., Sharma, T., Challa, R. R., Vallamkonda, B., Satti, P. R., ... & Swami, R. (2025). Polymeric and lipidic nanoparticles in transforming anti-HIV combinational therapy: can they turn the tide?. Naunyn-Schmiedeberg's Archives of Pharmacology, 1-20.
[2].
Eshaghi, B. (2021). HIV-1 mimicking lipid-coated polymer nanoparticles: fundamentals and applications (Doctoral dissertation, Boston University).
[3].
Yu, K., Liu, H., & Pan, T. (2025). HIV-1 Tat: Molecular Switch in Viral Persistence and Emerging Technologies for Functional Cure. International Journal of Molecular Sciences, 26(13), 6311.
[4].
Vasukutty, A., Jang, Y., Han, D., Park, H., & Park, I. K. (2024). Navigating Latency-Inducing Viral Infections: Therapeutic Targeting and Nanoparticle Utilization. Biomaterials Research, 28, 0078.
[5].
Peng, Y., Zong, Y., Wang, D., Chen, J., Chen, Z. S., Peng, F., & Liu, Z. (2023). Current drugs for HIV-1: from challenges to potential in HIV/AIDS. Frontiers in Pharmacology, 14, 1294966.
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Abstract: Background: Soil plays a potent role in supporting the growth of plants by providing macro and micronutrients, and water essential for development. It consists of microorganisms, organic materials, minerals, water and air. Soil deficient in phosphorus is one of the serious obstacles to attaining the practices of sustainable agriculture. Phosphorus is utilized for the growth and cellular processes but is often limited in soil through its continuous fixation. The phosphate.......
Keywords: Phosphate solubilizing index; Mangifera indica; Phosphate solubilizing bacteria; Phosphorus
[1].
Amri M, Rjeibi MR, Gatrouni M, Mateus DM, Asses N, Pinho HJ, Abbes C. Isolation, Identification, and Characterization of Phosphate-Solubilizing Bacteria from Tunisian Soils. Microorganisms. 2023;11(3): 783. doi: 10.3390/microorganisms11030783
[2]. Chaiharn M, Lumyong S. Phosphate solubilization potential and stress tolerance of rhizobacteria from rice soil in Northern Thailand. World Journal of Microbiology and Biotechnology. 2009;25: 305-314. doi.org/10.1007/s11274-008-9892-2
[3]. Chen J, Zhao G, Wei Y, Dong Y, Hou L, Jiao R. Isolation and screening of multifunctional phosphate solubilizing bacteria and its growth-promoting effect on Chinese fir seedlings. Scientific Reports. 2021;11(1): 9081. doi.org/10.1038/s41598-021-88635-4
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Harirchi S, Sar T, Ramezani M, Aliyu H, Etemadifar Z, Nojoumi SA, Yazdian F, Awasthi MK, Taherzadeh MJ. Bacillales: from taxonomy to biotechnological and industrial perspectives. Microorganisms. 2022;10(12):2355. doi.org/10.3390/microorganisms10122355
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