International Journals

  1. Choudhary, P., Waseem, M., Kumar, S., Subbarao, N., Srivastava, S., Chakdar, H. (2023) Y12F mutation in Pseudomonas plecoglossicida S7 lipase enhances its thermal and pH stability for industrial applications: a combination of in silico and in vitro study. World J Microbiol Biotechnol. 39(3):75. doi: https://doi.org/10.1007/s11274-023-03518-2. PMID: 36637534.
  2. Tyagi, R., Paul, A., Raj, V.S., Ojha, K.K., Kumar, S.*, Panda, A.K., Chaurasia, A., Yadav, M.K. (2023) A Drug Repurposing Approach to Identify Therapeutics by Screening Pathogen Box Exploiting SARS-CoV-2 Main Protease. Chem Biodivers. e202200600. doi: https://doi.org/10.1002/cbdv.202200600. PMID: 36597267.
  3. Samal, I., Bhoi, T. K., Majhi, P. K., Murmu, S., Pradhan, A. K., Kumar, D., ... & Al Balawi, T. (2023). Combatting insects mediated biotic stress through plant associated endophytic entomopathogenic fungi in horticultural crops. https://doi.org/10.3389/fpls.2022.1098673
  4. Sharma, R., Arora, R., Ahlawat, S., Chhabra, P., Kumar, A., Kaur, M., Lal, S. B., Mishra, D. C., Farooqi, M. S., & Srivastava, S. (2023). Study on the muscle transcriptome of two diverse Indian backyard poultry breeds acclimatized to different agro-ecological conditions. Molecular biology reports, 10.1007/s11033-022-08223-1. Advance online publication. https://doi.org/10.1007/s11033-022-08223-1
  5. Sharma, S., Archak, S., Majumdar, S., Mishra, D.c., & Rai A., (2022). Comparison of Supervised Machine Learning Techniques in Classifying Vitamin Biosynthesis Genes. Journal of The Indian Society of Agricultural Statistics. 76(3) 141–146
  6. Ahemad, B., Haque, Md. A., Iquebal, M.A., Jaiswal, S., Angadi, U.B., Kumar, D., Rai, A. (2023) DeepAProt: Deep learning based abiotic stress protein sequence classification and identification tool in cereals. Frontiers in Plant Science https://doi.org/10.3389/fpls.2022.1008756
  7. Mir, Z.A., Chandra, T., Saharan, A., Budhlakoti, N., Mishra, D.C., Saharan, M.S., Mir, R.R., Singh, A.K., Sharma, S., Vikas, V.K. and Kumar, S. (2023). Recent advances on genome-wide association studies (GWAS) and genomic selection (GS); prospects for Fusarium head blight research in Durum wheat. Molecular Biology Reports, 1-17. https://doi.org/10.1007/s11033-023-08309-4
  8. Nagrale DT, Chaurasia A, Kumar S, Gawande SP, Hiremani NS, Shankar R, Gokte-Narkhedkar N, Renu, Prasad YG. PGPR: the treasure of multifarious beneficial microorganisms for nutrient mobilization, pest biocontrol and plant growth promotion in field crops. World J Microbiol Biotechnol. 2023 Feb 16;39(4):100. doi: https://doi.org/10.1007/s11274-023-03536-0. PMID: 36792799.
  9. Garhwal, R., Sangwan, K., Mehra, R., Pal, Y., Nayan, V., Iquebal, M.A., Jaiswal, S., Kumar, H., Bhardwaj, A. (2022) Comparative metabolomics analysis of Halari donkey colostrum and mature milk throughout lactation stages using 1H-Nuclear Magnetic Resonance. Foods (ISSN: 2304-8158). https://doi.org/10.3390/foods12040853
  10. Sareen, S., Budhlakoti, N., Mishra, K.K., Bharad, S., Potdukhe, N.R., Tyagi, B.S. and Singh, G.P., (2023). Resilience to Terminal Drought, Heat, and Their Combination Stress in Wheat Genotypes. Agronomy, 13(3), 1-17. https://doi.org/10.3390/agronomy13030891
  11. Khan, M.A., Rai, A., Mishra, D.C., Budhlakoti, N., Satpathy, S. and Majumdar, S.G., 2023. Comparative study of multi-trait genomic and phenotypic selection indexes for selection of superior genotypes. Indian journal of genetics and plant breeding, 83(01), 88-94.
  12. Das, R., Rai, A., Mishra, D.C. “CNN_FunBar: Advanced learning technique for fungi ITS region classification”. Genes, section: Bioinformatics. Genes 2023, 14(3), 634; https://doi.org/10.3390/genes14030634
  13. Mishra, D.C., Majumdar, S.G., Kumar, A., Bhati, J., Chaturvedi, K. K., Kumar, R.R., Goswami, S., Rai, A., and Budhlakoti, N. (2023). Regulatory Networks of lncRNAs, miRNAs, and mRNAs in Response to Heat Stress in Wheat (Triticum Aestivum L.): An Integrated Analysis. International Journal of Genomics. Volume 2023, Article ID 1774764, 17 pages https://doi.org/10.1155/2023/1774764.
  14. Majumdar, S.G., Mishra, D.C., Rai, A. “Estimation of Error Variance in Genomic Selection for Ultrahigh Dimensional Data”. Agriculture. 13(4), 26; https://doi.org/10.3390/agriculture13040826
  15. Das, P, Grover, M, Chauhan, D, Mishra, D.C., Kumar, S, Chaturvedi, K.K., Bhardwaj, S.C., Singh, A.K., Rai,A. Comparative transcriptome analysis of wheat isogenic lines provides insights into genes and pathways associated with stripe rust resistance. Indian Journal of Genetics and Plant Breeding. Volume 83, Issues 01, Pages 52-58. https://www.isgpb.org/journal/index.php/IJGPB/article/view/3998
  16. Khan, M.A., Rai, A., Mishra, D.C., Budhlakoti, N., Satpathy, S., Majumdar, S.G.. (2023). Comparative study of multi-trait genomic and phenotypic selection indexes for selection of superior genotypes. Indian Journal of Genetics and Plant Breeding. Volume 83, Issues 01, Pages 88-94. https://www.isgpb.org/journal/index.php/IJGPB/article/view/4003
  17. Priyadarshi, M.B., Sharma, A., Chaturvedi, K.K., Bhardwaj, R., Lal, S.B., Farooqi, M.S., Kumar, S., Mishra, D.C, Singh, M. (2023). Comparing various machine learning algorithms for sugar prediction in chickpea using near-infrared spectroscopy. Legume Research-An International Journal . Volume 46, Issues 02, Pages 251-256. https://doi.org/10.18805/LR-4931
  18. Sinha, D., Dasmandal, T., Md. Yeasin, Mishra, D.C., Rai, A., and Archak, S. (2023). EpiSemble: A Novel Ensemble-based Machine-learning Framework for Prediction of DNA N6-methyladenine Sites Using Hybrid Features Selection Approach for Crops. Current Bioinformatics. https://doi.org/10.2174/1574893618666230316151648.
  19. Srivastava, S., Merchant, M., McClain J. Craig, Rai, A., Chaturvedi, K.K., Angadi, U.B., Mishra, C.D. and Rai N. Shesh* (2023). Advanced Multivariable Statistical Analysis Interactive Tool for Handling Missing Data and Confounding Covariates for Label-free LC-MS Proteomics Experiments, Current Bioinformatics,18(5). https://dx.doi.org/10.2174/1574893618666230223150253.
  20. Singh, D. P., Bisen, M. S., Prabha, R., Maurya, S., Yerasu, S. R., Shukla, R., Tiwari, J. K., Chaturvedi, K. K., Farooqi, Md. S., Srivastava, S., Rai, A., Sarma, B. K., Rai, N., Singh, P. M., Behera, T. K., & Farag, M. A. (2023). Untargeted Metabolomics of Alternaria solani-Challenged Wild Tomato Species Solanum cheesmaniae Revealed Key Metabolite Biomarkers and Insight into Altered Metabolic Pathways. Metabolites, 13(5), 585. https://doi.org/10.3390/metabo13050585
  21. Yadav S, Yadava YK, Meena S, Singh L, Kansal R, Grover M, M S N, Bharadwaj C, Paul V, Gaikwad K, Jain PK. The SPL transcription factor genes are potential targets for epigenetic regulation in response to drought stress in chickpea (C. arietinum L.). Mol Biol Rep. 2023 Apr 29. doi: https://doi.org/10.1007/s11033-023-08347-y.
  22. Kumar, B., Saha, B., Jaiswal, S., Angadi, U.B., Rai, A., Iquebal, M.A.* (2023) Genome wide identification and characterization of tissue specific non-coding RNAs in Black pepper (Piper nigrum L.) Frontiers in Plant Science https://www.frontiersin.org/articles/10.3389/fpls.2023.1079221/full
  23. Vasisth, P., Singh, N., Limbalkar, O.M., Sharma, M., Gokulan, D., Meena, Mohan Lal, Jain, P., Jaiswal, S., Iquebal, M.A., Watts, A., Gaikwad, K.B., Singh, R. (2023) Deciphering Heterotic Genomic Segments in Brassica carinata A. Braun derived Brassica juncea (L.) Czern. Introgression Lines. MDPI Plants (ISSN: 2223-7747) https://www.mdpi.com/2223-7747/12/8/1677.
  24. Vinay N.D., Matsumura, H., Munshi, A.D., Ellur, R.K., Chinnusamy, V., Singh, A., Iquebal, M.A., Jaiswal, S., Jat, G.S., Panigrahi, I., Gaikwad, A.B., Rao, A.R., Dey, S.S.under, Behera, T.K., (2023) Molecular mapping of genomic region and identification of possible candidate genes associated with gynoecious sex expression in bitter gourd. Frontiers in Plant Science https://www.frontiersin.org/articles/10.3389/fpls.2023.1071648/full
  25. Singh, S. K., Singh, R., Singh, S.K., Iquebal, M.A., Jaiswal, S., Rai, P.K.(2023) Prevalence of obesity in newly onset diabetes mellitus and its relationship with uric acid: an Indian cross-sectional study. International Journal of General Medicine, 2023:16: 1217-1226 https://www.dovepress.com/articles.php?article_id=82853
  26. Rasal, K.D., Dixit, S., Swain, P.P, Siriyappagouder, P., Kumar, R., Iquebal, M.A., Vasam, M., Debbarma, J., Jaiswal, S., Angadi, U.B., Rai, A., Kumar, D., Sundaray, J.K. (2023) Identification of host-specific skin-mucus and gut microbiota in snakehead murrel (Channa striata) (Bloch, 1793) using metagenomics approach. Journal of Applied Biology & Biotechnology. 2023 (DOI: https://doi.org/10.7324/JABB.2023.11508
  27. Ganiga, N., Bhatia, R., Dubey, K., Arora, R., Singh, K.P., Panwar, S., Bollinedi, H., Sarika (2023) Protocol for in vitro regeneration and rapid mass multiplication of apetalous male sterile lines of marigold. Indian Journal of Horticulture, 80(1): 110-116. https://doi.org/10.58993/ijh/2023.80.1.17
  28. Puneeth, P.V., Yadav, R.K., Lata, S., Iquebal, M.A., Tomar, B.S., Choudhary, H., Tomar, A., Sharma, P.K., Jaiswal, S. (2023) Development and validation of novel SSR markers using transcriptome data in okra (Abelmoschus esculentus L.)- A genetically orphan crop. Indian Journal of Genetics and Plant Breeding, 83(1): 95-102 https://www.isgpb.org/journal/index.php/IJGPB/article/view/3544
  29. Kumar, S., Behera, S.K., Gururaj, K., Chaurasia, A., Murmu, S., Prabha, R., Angadi, U.B., Pawaiya, R.S., Rai, A. (2023). In silico mutation of aromatic with aliphatic amino acid residues in Clostridium perfringens epsilon toxin (ETX) reduces its binding efficiency to Caprine Myelin and lymphocyte (MAL) protein receptors. J Biomol Struct Dyn. 2:1-13. doi: https://doi.org/10.1080/07391102.2023.2204362. PMID: 37129165
  30. Samal, I., Bhoi, T. K., Raj, M. N., Majhi, P. K., Murmu, S., Pradhan, A. K., ... & Guru, P. N. (2023). Underutilized legumes: nutrient status and advanced breeding approaches for qualitative and quantitative enhancement. https://www.frontiersin.org/articles/10.3389/fnut.2023.1110750/full.
  31. Mishra, D,C., Bhati, J., Yadav, S., Awasthi, H., Sikka, P., Jerome, A., Balhara, A.K., Rai, A., Chaturvedi, K.K. (2023). Comparative expression analysis of Water buffalo (Bubalus bubalis) to identify genes associated with economically important traits. Frontiers in Veterinary Sciences, Section: Livestock Genomics. doi: https://doi.org/10.3389/fvets.2023.1160486.
  32. Sikka, P., Paul, S.S., Jerome, A., Mishra, D,C, Chaturvedi, K.K., Singh, I., Rai, A. (2023). Functional Genes in Relation to Residual Feed Intake in Murrah Buffalo Heifers. Advances in Bioscience and Biotechnology, 2023, 14, 210-236 DOI: https://doi.org/10.4236/abb.2023.144014.
  33. Mir, Z.A., Chauhan, D., Pradhan, A.K., Srivastava, V., Sharma, D., Budhlakoti, N., Mishra, D.C., Jadon, V., Sahu, T. K., Grover, M., Gangwar, O.P., Kumar, S., Bhardwaj, S.C., Padaria, J.C., Singh, A.K., Rai, A., Singh G. P., Kumar, S. (2023). Comparative transcriptome profiling of near isogenic lines PBW343 and FLW29 to unravel defense related genes and pathways contributing to stripe rust resistance in wheat. Funct Integr Genomics, 23(2), 1-19. https://doi.org/10.1007/s10142-023-01104-1
  34. Kumar, M., Ansari, W.A,. Zeyad, M.T. Singh, A., Chakdar, H., Kumar, A., Farooqi, M.S., Sharma, A. Srivastava, S., and Kumar. A.(2023) Core microbiota of wheat rhizosphere under Upper Indo-Gangetic plains and their response to soil physicochemical properties, Frontiers in Plant Science},VOLUME 14, DOI: https://doi.org/10.3389/fpls.2023.1186162
  35. Ray, A., Gadratagi, B.G., Budhlakoti, N., Rana, D.K., Adak, T., Govindharaj, G.P.P., Patil, N.B., Mahendiran, A. and Rath, P.C. (2023). Functional response of an egg parasitoid, Trichogramma chilonis Ishii to sublethal imidacloprid exposure. Pest Management Science. DOI: https://doi.org/10.1002/ps.7540