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Posts
How to use a virtualenv in a Django project?
Published:
pip install virtualenv
mkdir django_project
cd django_project
virtualenv env
source env/bin/activate
How to delete a record in Django models?
Published:
instance = SomeModel.objects.get(id=id)
instance.delete()
How to reset the PostgreSQL database in Django?
Published:
sudo su postgres
psql
drop database database_test;
create database database_test with owner suresh;
\q
exit
publications
An In silco approach to bioremediation: Laccase as a case study
Journal of Molecular Graphics and Modelling 2008
Recommended citation: Suresh, Panneer Selvam; Kumar, Anil; Kumar, Rita; Singh, Ved Pal; ",An Insilco approach to bioremediation: Laccase as a case study,Journal of Molecular Graphics and Modelling,26,5,845-849,2008 https://www.sciencedirect.com/science/article/abs/pii/S1093326307000915
Three dimensional model for N-terminal A domain of DmpR (2-Dimethylphenol) protein based on secondary structure prediction and fold recognition,In silico biology
Insilco Biology 2010
Recommended citation: Suresh, Panneer Selvam; Kumar, Rita; Kumar, Anil; ",Three dimensional model for N-terminal A domain of DmpR (2-Dimethylphenol) protein based on secondary structure prediction and fold recognition,In silico biology,10,"5, 6",223-233,2010 https://content.iospress.com/articles/in-silico-biology/isb00434
Molecular modeling of human alkaline sphingomyelinase,Bioinformation
Bioinformation 2011
Recommended citation: Suresh, Panneer Selvam; Olubiyi, Olujide; Thirunavukkarasu, Chinnasamy; Strodel, Birgit; Kumar, Muthuvel Suresh; ",Molecular modeling of human alkaline sphingomyelinase,Bioinformation,6,2,78,2011 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3082857/
Molecular modeling of human neutral sphingomyelinase provides insight into its molecular interactions
Bioinformation 2011
Recommended citation: Dinesh, Angshumala Goswami; Suresh, Panneer Selvam; Thirunavukkarasu, Chinnasamy; Weiergräber, Oliver H; Kumar, Muthuvel Suresh; ",Molecular modeling of human neutral sphingomyelinase provides insight into its molecular interactions,Bioinformation,7,1,21,2011 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3163928/
Inhibition of hyaluronidase by N-acetyl cysteine and glutathione: Role of thiol group in hyaluronan protection
Int J Biol Macromol. 2013
Recommended citation: Sunitha, K; Suresh, P; Santhosh, M Sebastin; Hemshekhar, M; Thushara, RM; Marathe, Gopal K; Thirunavukkarasu, C; Kemparaju, K; Kumar, M Suresh; Girish, KS; ",Inhibition of hyaluronidase by N-acetyl cysteine and glutathione: Role of thiol group in hyaluronan protection, Int J Biol Macromol . 2013 Apr;55:39-46. doi: 10.1016/j.ijbiomac.2012.12.047. Epub 2013 Jan 8. https://pubmed.ncbi.nlm.nih.gov/23305704/
Nanoinformatics: emerging databases and available tools
Int J Mol Sci . 2014 Apr 25;15(5):7158-82. doi: 10.3390/ijms15057158. 2014
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Panneerselvam, Suresh; Choi, Sangdun; ",Nanoinformatics: emerging databases and available tools, International journal of molecular sciences,15,5,7158-7182,2014 https://pubmed.ncbi.nlm.nih.gov/24776761/
Insights into the species-specific TLR4 signaling mechanism in response to Rhodobacter sphaeroides lipid A detection
Scientific reports 2015
Recommended citation: Anwar, Muhammad Ayaz; Panneerselvam, Suresh; Shah, Masaud; Choi, Sangdun; ",Insights into the species-specific TLR4 signaling mechanism in response to Rhodobacter sphaeroides lipid A detection,Scientific reports,5,1,1-11,2015. https://www.nature.com/articles/srep07657
Etoposide induces necrosis through p53-mediated antiapoptosis in human kidney proximal tubule cells
Toxicological Sciences 2015
Recommended citation: Kwon, Hyuk-Kwon; Shin, Hyeon-Jun; Lee, Jae-Hyeok; Park, Seol-Hee; Kwon, Min-Cheol; Panneerselvam, Suresh; Lee, Chan Gyu; Kim, Sang Geon; Kim, Jae-Ho; Choi, Sangdun; ",Etoposide induces necrosis through p53-mediated antiapoptosis in human kidney proximal tubule cells,Toxicological Sciences,148,1,204-219,2015 https://pubmed.ncbi.nlm.nih.gov/26259609/
A combined molecular docking/dynamics approach to probe the binding mode of cancer drugs with cytochrome P450 3A4
Molecules 2015
Recommended citation: Panneerselvam, Suresh; Yesudhas, Dhanusha; Durai, Prasannavenkatesh; Anwar, Muhammad Ayaz; Gosu, Vijayakumar; Choi, Sangdun; ",A combined molecular docking/dynamics approach to probe the binding mode of cancer drugs with cytochrome P450 3A4,Molecules,20,8,14915-14935,2015. https://pubmed.ncbi.nlm.nih.gov/26287147/
Structural mechanism behind distinct efficiency of Oct4/Sox2 proteins in differentially spaced DNA complexes
Public Library of Science 2016
Recommended citation: Yesudhas, Dhanusha; Anwar, Muhammad Ayaz; Panneerselvam, Suresh; Durai, Prasannavenkatesh; Shah, Masaud; Choi, Sangdun; ",Structural mechanism behind distinct efficiency of Oct4/Sox2 proteins in differentially spaced DNA complexes,PloS one,11,1,,2016. https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0147240
Toll‐like receptor 2 antagonists identified through virtual screening and experimental validation.
The FEBS journal 2016
Recommended citation: Durai, Prasannavenkatesh; Shin, Hyeon‐Jun; Achek, Asma; Kwon, Hyuk‐Kwon; Govindaraj, Rajiv Gandhi; Panneerselvam, Suresh; Yesudhas, Dhanusha; Choi, Jiwon; No, Kyoung Tai; Choi, Sangdun; ",Toll‐like receptor 2 antagonists identified through virtual screening and experimental validation,The FEBS journal,284,14,2264-2283,2017. https://pubmed.ncbi.nlm.nih.gov/28570013/
Cysteine redox state plays a key role in the inter-domain movements of HMGB1: a molecular dynamics simulation study
RSC Advances 2016
Recommended citation: Panneerselvam, Suresh; Durai, Prasannavenkatesh; Yesudhas, Dhanusha; Achek, Asma; Kwon, Hyuk-Kwon; Choi, Sangdun; ",Cysteine redox state plays a key role in the inter-domain movements of HMGB1: a molecular dynamics simulation study,RSC advances,6,103,100804-100819,2016. https://pubs.rsc.org/en/content/articlelanding/2016/RA/c6ra16343b#!divAbstract
Proteins recognizing DNA: Structural uniqueness and versatility of DNA-binding domains in stem cell transcription factors
Genes 2017
Recommended citation: Yesudhas, Dhanusha; Batool, Maria; Anwar, Muhammad Ayaz; Panneerselvam, Suresh; Choi, Sangdun; ",Proteins recognizing DNA: Structural uniqueness and versatility of DNA-binding domains in stem cell transcription factors,Genes,8,8,192,2017 https://pubmed.ncbi.nlm.nih.gov/28763006/
Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation
FEBS-open-bio 2017
Recommended citation: Yesudhas, Dhanusha; Anwar, Muhammad Ayaz; Panneerselvam, Suresh; Kim, Han‐Kyul; Choi, Sangdun; ",Evaluation of Sox2 binding affinities for distinct DNA patterns using steered molecular dynamics simulation,FEBS open bio,7,11,1750-1767,2017 https://pubmed.ncbi.nlm.nih.gov/29123983/
A cell-penetrating peptide blocks Toll-like receptor-mediated downstream signaling and ameliorates autoimmune and inflammatory diseases in mice
Experimental & molecular medicine 2019
Recommended citation: Kwon, Hyuk-Kwon; Patra, Mahesh Chandra; Shin, Hyeon-Jun; Gui, Xiangai; Achek, Asma; Panneerselvam, Suresh; Kim, Dong-Jin; Song, Suk-Jong; Hong, Riwon; Kim, Kyoung Soo; ",A cell-penetrating peptide blocks Toll-like receptor-mediated downstream signaling and ameliorates autoimmune and inflammatory diseases in mice,Experimental & molecular medicine,51,4,1-19,2019 https://pubmed.ncbi.nlm.nih.gov/28763006/
A structure-based nomenclature for Bacillus thuringiensis and other bacteria-derived pesticidal proteins
Database, Volume 2022, 2022, baac022 2021
Abstract: In 1998 a nomenclature for the growing list of pesticidal proteins from Bacillus thuringiensis (Bt) was derived based solely on protein sequence comparisons. This nomenclature was widely adopted and provided a robust framework for the naming and classification of the proteins. The success of these proteins in integrated pest management schemes prompted an increased effort to find others with improved or more diverse activities. These discovery activities led to the characterization of proteins from a wider range of bacteria and with a variety of different protein folds. Since most of these new proteins were grouped together as Cry proteins it became apparent that the existing nomenclature had limitations in representing the diverse range of proteins that had been identified. This revised nomenclature retains the basic principles of the 1998 version but provides specific mnemonics to represent different structural groups. For the purposes of consistency, the vast majority of the proteins have either retained their name or have a new name that clearly references the previous one. Other pesticidal proteins not previously included in the nomenclature have been incorporated into this version.
Recommended citation: Neil Crickmore, Colin Berry, Suresh Panneerselvam, Ruchir Mishra, Thomas R Connor, Bryony C Bonning, A structure-based nomenclature for Bacillus thuringiensis and other bacteria-derived pesticidal proteins, JIP 2021-11-22' https://www.sciencedirect.com/science/article/pii/S0022201120301440