Series-1 (Nov. – Dec. 2025) Nov. – Dec. 2025 Issue Statistics
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| Paper Type | : | Research Paper |
| Title | : | Integrative Workflow Of Biopython And Molecuar Docking To Explore Novel Therapeutics Targeting PARK7-DJ1 |
| Country | : | India |
| Authors | : | Karren Mehrotra || Uma Kumari || Sanika Pande |
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: | 10.9790/ 264X-1106010110  |
Abstract: Parkinson’s disease (PD) is a neurodegenerative affecting around 1 % population above the age of 50. Symptoms of PD usually show up post 50 years of age, however, young are not entirely exempted. Deregulation of cellular process associated with highly sensitivity of dopaminergic neurons and aging are one of the prime factors linked with PD. This study involves computational workflow combination of molecular docking and Biopython for the identification of prospective therapeutics that can potentially target the alpha-synuclein protein structure (PDB ID: 7C62....
Key Word: Parkinson’s disease, Biopython, molecular docking, CB-DOCK, AutoDock Vina, Structure Analysis, PDBsum, drug discovery, Homology Modeling
[1].
Rocca, W. A. (2018). The Burden Of Parkinson's Disease: A Worldwide Perspective. The Lancet Neurology, 17(11), 928-929.
[2].
Logroscino, G., Urso, D., & Savica, R. (2022). Descriptive Epidemiology Of Neurodegenerative Diseases: What Are The Critical Questions?. Neuroepidemiology, 56(5), 309-318.
[3].
Lamptey, R. N., Chaulagain, B., Trivedi, R., Gothwal, A., Layek, B., & Singh, J. (2022). A Review Of The Common Neurodegenerative Disorders: Current Therapeutic Approaches And The Potential Role Of Nanotherapeutics. International Journal Of Molecular Sciences, 23(3), 1851.
[4].
Krokidis, M. G. (2019). Identification Of Biomarkers Associated With Parkinson's Disease By Gene Expression Profiling Studies And Bioinformatics Analysis. AIMS Neuroscience, 6(4), 333.
[5].
Davie, C. A. (2008). A Review Of Parkinson's Disease. British Medical Bulletin, 86(1), 109-127
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| Paper Type | : | Research Paper |
| Title | : | Bioinformatics-Based Discovery Of Candidate Protein Biomarkers For Breast Cancer |
| Country | : | Egypt |
| Authors | : | Mohamed E. Hasan || Mohamed Othman || Hala M. Ahmed || Dina H. Solieman |
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: | 10.9790/ 264X-1106011123 |
Abstract: Background: Breast cancer (BC) remains a major global health burden, with limited FDA-approved therapies to improve functional outcomes. Identification of reliable biomarkers is essential for early detection and precision management. This study aimed to investigate interleukin-6 (IL-6) and spondin-1 (SPN) as potential diagnostic and prognostic biomarkers.......
Keywords: Breast cancer, biomarkers, IL-6, SPN, bioinformatics, AlphaFold
[1].
Ali, S., Kumar, R., & Patel, P. (2022). Structural And Functional Analysis Of Breast Cancer Biomarker Proteins. Bioinformatics And Molecular Biology, 18(2), 45-60.
[2].
Altschul, S. F., Gish, W., Miller, W., Myers, E. W., & Lipman, D. J. (1997). Basic Local Alignment Search Tool. Journal Of Molecular Biology, 215(3), 403-410. Https://Doi.Org/10.1016/S0022-2836(05)80360-2
[3].
Altschul, S. F., Madden, T. L., Schaffer, A. A., Zhang, J., Zhang, Z., Miller, W., & Lipman, D. J. (1995). Gapped BLAST And PSI-BLAST: A New Generation Of Protein Database Search Programs. Nucleic Acids Research, 23(17), 3389-3402.
Https://Doi.Org/10.1093/Nar/23.17.3389
[4].
Biasini, M (2014). SWISS-MODEL: Modelling Protein Tertiary And Quaternary Structure Using Evolutionary Information. Nucleic Acids Research, 42(W1), W252–W258.
[5].
Blum, M (2021). Interpro In 2021: New Domains, Integrated Annotation And Multi-Species Protein Family Resources. Nucleic Acids Research, 49(D1), D344–D354
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| Paper Type | : | Research Paper |
| Title | : | xxx |
| Country | : | |
| Authors | : | xxx |
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: | 10.9790/ 264X-1106012433 |
Abstract: Cobalt ferrite nanoparticles (CoFe2O4) have gathered substantial academic and industrial interest due to their diverse applications across biological systems, photocatalytic degradation of dyes, environmental remediation, medicine, energy storage devices, and various industrial sectors. Recognizing the ecological and environmental associated with conventional chemical and physical methodologies for synthesising cobalt ferrite nanoparticles, contemporary research has increasingly focused on alternative approaches. Biological synthesis protocols have emerged promising, offering cost-effectiveness, non-toxicity, biocompatibility, and environmental sustainability (Dichayal et.....
[1].
Gingasu, D., Mindru, I., Patron, L., Calderon-Moreno, J. M., Mocioiu, O. C., Preda, S., Stanica, N., Nita, S., Dobre, N., Popa, M., Gradisteanu, G., & Chifiriuc, M. C. (2016). Green Synthesis Methods Of COFE2O4and AG-COFE2O4Nanoparticles Using Hibiscus Extracts And Their Antimicrobial Potential. Journal Of Nanomaterials, 2016, 1–12. Https://Doi.Org/10.1155/2016/2106756
[2].
Singh, H., Desimone, M. F., Pandya, S., Jasani, S., George, N., Adnan, M., Aldarhami, A., Bazaid, A. S., & Alderhami, S. A. (2023). Revisiting The Green Synthesis Of Nanoparticles: Uncovering Influences Of Plant Extracts As Reducing Agents For Enhanced Synthesis Efficiency And Its Biomedical Applications. International Journal Of Nanomedicine, Volume 18, 4727–4750.
Https://Doi.Org/10.2147/Ijn.S419369
[3].
Houshiar, M., Zebhi, F., Razi, Z. J., Alidoust, A., & Askari, Z. (2014). Synthesis Of Cobalt Ferrite (Cofe2o4) Nanoparticles Using Combustion, Coprecipitation, And Precipitation Methods: A Comparison Study Of Size, Structural, And Magnetic Properties. Journal Of Magnetism And Magnetic Materials, 371, 43–48. Https://Doi.Org/10.1016/J.Jmmm.2014.06.059
[4].
Ansari, M. A., Govindasamy, R., Begum, M. Y., Ghazwani, M., Alqahtani, A., Alomary, M. N., Jamous, Y. F., Alyahya, S. A., Asiri, S., Khan, F. A., Almessiere, M. A., & Baykal, A. (2023). Bioinspired Ferromagnetic Cofe2o4 Nanoparticles: Potential Pharmaceutical And Medical Applications. Nanotechnology Reviews, 12(1). Https://Doi.Org/10.1515/Ntrev-2023-0575
[5].
Muthukrishnan, A. M. (2015). Green Synthesis Of Copper-Chitosan Nanoparticles And Study Of Its Antibacterial Activity. Journal Of Nanomedicine & Nanotechnology, 06(01). Https://Doi.Org/10.4172/2157-7439.1000251
[6].
Yalcin, B., Ozcelik, S., Icin, K., Senturk, K., Ozcelik, B., & Arda, L. (2021). Structural, Optical, Magnetic, Photocatalytic Activity
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| Paper Type | : | Research Paper |
| Title | : | Effect Of Bovine Colostrum On Zootechnical Parameters And Egg Production In Goliath Chickens In An Experimental Setting |
| Country | : | Niger |
| Authors | : | Soumana Haïnikoye Alzouma || Harouna Abdou || Adamou Guisso Taffa || Issa Hamadou || Boureima Karimou Harouna || Jean-Luc Hornick || Hamani Marichatou |
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: | 10.9790/ 264X-1106013439 |
Abstract: The objective of this study was to evaluate the effect of bovine colostrum on the growth, survival, and egg-laying performance of Goliath chickens raised for 20 weeks at the experimental site of the Faculty of Agronomy of the University of Niamey. A total of 180 chicks were divided into three homogeneous groups receiving a basic diet supplemented with 0% (T0), 1% (T1), and 2% (T2) colostrum during the first 21 days of life. The parameters studied were live weight, feed intake, average daily gain (ADG), feed conversion ratio (FCR), mortality rate, age and weight at the start of laying, and egg weight. The data collected were analyzed using Tukey's test, using R software.......
Keywords: Goliath chicken, bovine colostrum, growth, egg laying, mortality, Niamey-Niger
[1].
Abdou, H., Marichatou, H., Beckers, J-F., Dufrasne, I., & Hornick, J-L. (2014). Chemical Composition Of Colostrum From Azawak Cow In Niger Compared With Meta-Analytical Data Animal Genetic Resources. © Food And Agriculture Organization Of The United Nations. 1-7. DOI: 10.1017/S2078633614000241.
[2].
Afzal, I., Khan A. A., Banday, M. T., Manzoor, A., Untoo, M., Khurshid, A., Bashir, S. U., & Rovida, M. (2018). Effect Of Incorporation Of Bovine Colostrum In Broiler Chicken Diets On Body Weight, Mortality Pattern And Economics Of Production. Journal Of Entomology And Zoology. Studies. 6 (2), 711-714p.
[3].
Agbokounou, A. M., Serge Ahounou, S. G., Bengaly, Z., Abdou Karim, I. Y., Mensah, G. A., Koutinhouin, B., Hornick, J-L. (2017). Physiologie De L’immunité Colostrale Chez Les Porcins Et Facteurs De Variation Du Rendement Et De La Qualité Immunitaire Du Colostrum De La Truie. International Journal Of Biology And Chemical . Sciences. 11(1): 420-443p. DOI :
Http://Dx.Doi.Org/10.4314/Ijbcs.V11i1.34.
[4].
Arjomand, M., Nobakht, A., &Mehmannavaz, Y. (2022). Effects Of Different Forms Of Cattle Colostrum For Broiler Chickens. Iran. J. Appl. Anim. Sci. In Press.
[5].
Bandrick, M., Ariza-Nieto, C., Baidoo, S. K & Molitor, T. W. (2014). Colostral Antibody Mediated And Cell-Mediated Immunity Contributes To Innate And Antigen Specific Immunity In Piglets. Developmental And Comparative Immunology. 43(1): 114-120
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| Paper Type | : | Research Paper |
| Title | : | Next-Generation Sequencing Data Analysis In DYRK1A Associated With Neurodegenerative Disease |
| Country | : | India |
| Authors | : | Mrunal Kokad || Uma Kumari |
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: | 10.9790/ 264X-1106014048 |
Abstract: Dual-specificity tyrosine-regulated kinase 1A (DYRK1A) is an important neuronal kinase involved in various neurodevelopmental and neurodegenerative disorders, including Alzheimer’s disease. In this study, we used a thorough in-silico approach that combined Next-Generation Sequencing (NGS) variant analysis with structural bioinformatics.....
Key words: DYRK1A, Next-Generation Sequencing (NGS), Neurodegenerative Diseases, Structural Bioinformatics, RMSD Analysis, PDB 7O7K, PyMOL Visualization, In-silico Modeling
[1].
Aranda, S., Laguna, A., & De La Luna, S. (2011). DYRK Family Of Protein Kinases: Evolutionary Relationships, Biochemical Properties, And Functional Roles. FASEB Journal, 25(2), 449–462. Https://Doi.Org/10.1096/Fj.10-165837
[2].
Becker, W. (2018). Emerging Role Of DYRK Family Protein Kinases As Regulators Of Protein Stability In Cell Cycle Control. Cell Cycle, 17(7), 876–888. Https://Doi.Org/10.1080/15384101.2018.1457023
[3].
Tejedor, F. J., & Hämmerle, B. (2011). MNB/DYRK1A As A Multiple Regulator Of Neuronal Development. FEBS Journal, 278(2), 223–235. Https://Doi.Org/10.1111/J.1742-4658.2010.07955.X
[4].
Park, J., Song, W. J., & Chung, K. C. (2009). Function And Regulation Of Dyrk1A: Towards Understanding Down Syndrome. Cellular And Molecular Life Sciences, 66(20), 3235–3240. Https://Doi.Org/10.1007/S00018-009-0110-8
[5].
Wiseman, F. K., Al-Janabi, T., Hardy, J., Karmiloff-Smith, A., Nizetic, D., Tybulewicz, V. L. J., Fisher, E. M. C., & Strydom, A. (2015). A Genetic Cause Of Alzheimer’s Disease: Mechanistic Insights From Down Syndrome. Nature Reviews Neuroscience, 16(9), 564–574. Https://Doi.Org/10.1038/Nrn3983