Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Neha Periwal"'
Autor:
Neha Periwal, Pooja Arora, Ananya Thakur, Lakshay Agrawal, Yash Goyal, Anand S. Rathore, Harsimrat Singh Anand, Baljeet Kaur, Vikas Sood
Publikováno v:
Heliyon, Vol 10, Iss 16, Pp e36163- (2024)
Background: Protozoal pathogens pose a considerable threat, leading to notable mortality rates and the ongoing challenge of developing resistance to drugs. This situation underscores the urgent need for alternative therapeutic approaches. Antimicrobi
Externí odkaz:
https://doaj.org/article/ffda8f3b98d648b983f84c2c03b17ed7
iIL13Pred: improved prediction of IL-13 inducing peptides using popular machine learning classifiers
Publikováno v:
BMC Bioinformatics, Vol 24, Iss 1, Pp 1-22 (2023)
Abstract Background Inflammatory mediators play havoc in several diseases including the novel Coronavirus disease 2019 (COVID-19) and generally correlate with the severity of the disease. Interleukin-13 (IL-13), is a pleiotropic cytokine that is know
Externí odkaz:
https://doaj.org/article/30bb4e6e897c4470b2da1c454abf7dee
Publikováno v:
Frontiers in Cellular and Infection Microbiology, Vol 12 (2022)
The recent pandemic caused by Severe Acute Respiratory Syndrome Coronavirus-2 has resulted in enormous deaths around the world. Clues from genomic sequences of parent and their mutants can be obtained to understand the evolving pathogenesis of this v
Externí odkaz:
https://doaj.org/article/7c66917859fc496a8ab2884b602f1e1b
Autor:
Neha Periwal, Shravan B. Rathod, Sankritya Sarma, Gundeep S. Johar, Avantika Jain, Ravi P. Barnwal, Kinsukh R. Srivastava, Baljeet Kaur, Pooja Arora, Vikas Sood
Publikováno v:
Microbiology Spectrum, Vol 10, Iss 5 (2022)
ABSTRACT The efforts of the scientific community to tame the recent pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) seem to have been diluted by the emergence of new viral strains. Therefore, it is imperative to unders
Externí odkaz:
https://doaj.org/article/dbac6c22a7944c92aea6605707c6ed8b
Autor:
Jaskaran Kaur, Yogita Rawat, Vikas Sood, Neha Periwal, Deepak Kumar Rathore, Shrikant Kumar, Niraj Kumar, Sankar Bhattacharyya
Publikováno v:
Frontiers in Microbiology, Vol 12 (2022)
Dengue virus can infect human megakaryocytes leading to decreased platelet biogenesis. In this article, we report a study of Dengue replication in human K562 cells undergoing PMA-induced differentiation into megakaryocytes. PMA-induced differentiatio
Externí odkaz:
https://doaj.org/article/86952ef1b0164c629f20338ddb2ad65d
Publikováno v:
Biochimie. 199:112-122
Classification among coding sequences (CDS) and non-coding RNA (ncRNA) sequences is a challenge and several machine learning models have been developed for the same. Since the frequency of curated CDS is many-folds as compared to that of the ncRNAs,
Autor:
Shabnam Ansari, Nidhi Gupta, Rohit Verma, Oinam N Singh, Jyoti Gupta, Amit Kumar, Mukesh Kumar Yadav, Akshay Binayke, Mahima Tiwari, Neha Periwal, Vikas Sood, Shailendra Mani, Amit Awasthi, Shalimar, Baibaswata Nayak, CT Ranjith‐Kumar, Milan Surjit
Publikováno v:
EMBO reports.
Autor:
Shravan B. Rathod, Jinal C. Soni, Priyanshu Verma, Yogita Rawat, Neha Periwal, Pooja Arora, Vikas Sood, Mohmedyasin F. Mansuri
Tetrahydrocannabinol (THC) is a key psychotropic constituent of cannabis sativa. It is also known as Δ9-tetrahydrocannabinol (Δ9-THC). Previous study suggested that owing to its high lipophilicity, it piles up in adipose tissue and it is disseminat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e3a8bd6d2d1aa23930fcd328a1119765
https://doi.org/10.1101/2022.04.13.488197
https://doi.org/10.1101/2022.04.13.488197
Autor:
Roopali, Rajput, Neha, Periwal, Chitranjan, Mukherjee, Priyanshu, Verma, Jitender, Sharma, Pooja, Arora, Baljeet, Kaur, Vikas, Sood
Publikováno v:
Virus Research. 320:198887
Japanese encephalitis (JE), caused by the Japanese encephalitis virus (JEV), is the principal cause of viral encephalitis in South-East Asian and Western Pacific countries; accounting for 68,000 cases, and up to 20,400 fatalities, annually across the
Classification among coding (CDS) and non-coding RNA (ncRNA) sequences is a challenge and several machine learning models have been developed for the same. Since the frequency of curated coding sequences is many-folds as compared to that of the ncRNA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edfa41ef3c64840fe78d9deb9d94932f
https://doi.org/10.1101/2021.06.21.449245
https://doi.org/10.1101/2021.06.21.449245