Kunjiappan S - Search Results

1

A Review on Artificial Intelligence Approaches and Rational Approaches in Drug Discovery.

Srivathsa AV, Sadashivappa NM, Hegde AK, Radha S, Mahesh AR, Ammunje DN, Sen D, Theivendren P, Govindaraj S, Kunjiappan S, Pavadai P. Srivathsa AV, et al. Among authors: kunjiappan s. Curr Pharm Des. 2023 Jun 6;29(15):1180-1192. doi: 10.2174/1381612829666230428110542. Curr Pharm Des. 2023. PMID: 37132148 Review.

2

Biogenic synthesis of Marsilea quadrifolia gold nanoparticles: a study of improved glucose utilization efficiency on 3T3-L1 adipocytes.

Chowdhury A, Kunjiappan S, Bhattacharjee C, Somasundaram B, Panneerselvam T. Chowdhury A, et al. Among authors: kunjiappan s. In Vitro Cell Dev Biol Anim. 2017 Jun;53(6):483-493. doi: 10.1007/s11626-017-0136-3. Epub 2017 Mar 24. In Vitro Cell Dev Biol Anim. 2017. PMID: 28342023

3

Design, graph theoretical analysis and in silico modeling of Dunaliella bardawil biomass encapsulated keratin nanoparticles: a scaffold for effective glucose utilization.

Kunjiappan S, Panneerselvam T, Prasad P, Sukumaran S, Somasundaram B, Sankaranarayanan M, Murugan I, Parasuraman P. Kunjiappan S, et al. Biomed Mater. 2018 May 4;13(4):045012. doi: 10.1088/1748-605X/aabcea. Biomed Mater. 2018. PMID: 29727301

4

Design Graph Theoretical Analysis and In Silico Modeling of Dunaliella Bardawil Biomass Encapsulated N-Succinyl Chitosan Nanoparticles for Enhanced Anticancer Activity.

Kunjiappan S, Panneerselvam T, Somasundaram B, Sankaranarayanan M, Parasuraman P, Joshi SD, Arunachalam S, Murugan I. Kunjiappan S, et al. Anticancer Agents Med Chem. 2018;18(13):1900-1918. doi: 10.2174/1871520618666180628155223. Anticancer Agents Med Chem. 2018. PMID: 29956638

5

Graph Theoretical Analysis, Insilico Modeling and Formulation of Pyrimidine Nanoparticles as p38α MAP Kinases inhibitors: A Quantitative Proteomics Approach.

Theivendren P, Kunjiappan S, Govindraj S, Chandrasekarn J, Pavadai P, Saraswathy GR, Murugan I. Theivendren P, et al. Among authors: kunjiappan s. Drug Res (Stuttg). 2019 Feb;69(2):100-110. doi: 10.1055/a-0650-3979. Epub 2018 Jul 24. Drug Res (Stuttg). 2019. PMID: 30041258

6

Design, graph theoretical analysis, density functionality theories, Insilico modeling, synthesis, characterization and biological activities of novel thiazole fused quinazolinone derivatives.

Saravanan G, Panneerselvam T, Alagarsamy V, Kunjiappan S, Parasuraman P, Murugan I, Dinesh Kumar P. Saravanan G, et al. Among authors: kunjiappan s. Drug Dev Res. 2018 Sep;79(6):260-274. doi: 10.1002/ddr.21460. Epub 2018 Sep 23. Drug Dev Res. 2018. PMID: 30244475

7

Graph theoretical analysis, in silico modeling, prediction of toxicity, metabolism and synthesis of novel 2-(methyl/phenyl)-3-(4-(5-substituted-1,3,4-oxadiazol-2-yl) phenyl) quinazolin-4(3H)-ones as NMDA receptor inhibitor.

Saravanan G, Panneerselvam T, Kunjiappan S, Parasuraman P, Alagarsamy V, Udayakumar P, Soundararajan M, Joshi SD, Ramalingam S, Ammunje DN. Saravanan G, et al. Among authors: kunjiappan s. Drug Dev Res. 2019 May;80(3):368-385. doi: 10.1002/ddr.21511. Epub 2019 Jan 4. Drug Dev Res. 2019. PMID: 30609096

8

Design, In Silico Modelling, and Functionality Theory of Novel Folate Receptor Targeted Rutin Encapsulated Folic Acid Conjugated Keratin Nanoparticles for Effective Cancer Treatment.

Kunjiappan S, Panneerselvam T, Govindaraj S, Parasuraman P, Baskararaj S, Sankaranarayanan M, Arunachalam S, Babkiewicz E, Jeyakumar A, Lakshmanan M. Kunjiappan S, et al. Anticancer Agents Med Chem. 2019;19(16):1966-1982. doi: 10.2174/1871520619666190702145609. Anticancer Agents Med Chem. 2019. PMID: 31267878

9

Design and in silico modeling of Indoloquinoxaline incorporated keratin nanoparticles for modulation of glucose metabolism in 3T3-L1 adipocytes.

Kunjiappan S, Theivendren P, Pavadai P, Govindaraj S, Sankaranarayanan M, Somasundaram B, Arunachalam S, Ram Kumar Pandian S, Ammunje DN. Kunjiappan S, et al. Biotechnol Prog. 2020 Jan;36(1):e2904. doi: 10.1002/btpr.2904. Epub 2019 Oct 3. Biotechnol Prog. 2020. PMID: 31496124

10

Design, in silico modelling and functionality theory of folate-receptor-targeted myricetin-loaded bovine serum albumin nanoparticle formulation for cancer treatment.

Kunjiappan S, Govindaraj S, Parasuraman P, Sankaranarayanan M, Arunachalam S, Palanisamy P, Mohan UP, Babkiewicz E, Maszczyk P, Vellaisamy S, Panneerselvam T. Kunjiappan S, et al. Nanotechnology. 2020 Apr 10;31(15):155102. doi: 10.1088/1361-6528/ab5c56. Epub 2019 Nov 27. Nanotechnology. 2020. PMID: 31775133

Save citations to file

Email citations

Send citations to clipboard

Add to Collections

Add to My Bibliography

Create a file for external citation management software

Your saved search

Your RSS Feed

My Custom Filters

Publication date

Text availability

Article attribute

Article type

Article Language

Species

Sex

Age

Other

61 results

Search Page

Filters