Normal view MARC view ISBD view

Microarray data analysis, structure prediction and development of b-cell lymphoma 2-associated athanogene 3 protein modulators

By: Devgun, M.
Contributor(s): Lal,S.
Publisher: Mumbai Indian Journal of Pharmaceutical Science 2022Edition: Vol.84(1), Jan-Feb.Description: 87-98p.Subject(s): PHARMACEUTICSOnline resources: Click here In: Indian journal of pharmaceutical sciencesSummary: B-cell lymphoma 2-associated athanogene 3 protein is profoundly expressed in various cancer tissues, which can lead to proliferation, migration and invasion of cancer. The raw data for microarray data analysis was obtained from the dataset record GDS2918. The self-organizing map and k-means of the genesis led to the identification of two clusters containing B-cell lymphoma 2-associated athanogene 3 gene among others; cluster number 1 (consisting of 902 genes) from self-organizing map and cluster number 09 (consisting of 348 genes) from k-means. The post clustering tool, SimGene, of Easy M-A was exploited to establish 84 genes with similar expressions as that of B-cell lymphoma 2-associated athanogene 3. The neighbor-joining method in molecular evolutionary genetics analysis version 5 clearly establishes the evolutionary similarity in between B-cell lymphoma 2-associated athanogene 3 and Small glutamine rich tetratricopeptide repeat containing beta. The EasyModeller was utilized for homology modeling of B-cell lymphoma 2-associated athanogene 3 and Small glutamine rich tetratricopeptide repeat containing beta proteins. The protein data bank files were subjected to Procheck in structural analysis and verification server, which evaluates by Ramachandran plot. The selected models were further subjected to loop modeling and validation. Ligands were identified by using DrugBank and were docked against B-cell lymphoma 2-associated athanogene 3 and Small glutamine rich tetratricopeptide repeat containing beta using AutoDock tool. This led to the identification of two compounds, i.e., DB07503 and DB13715 with potential to modulate B-cell lymphoma 2-associated athanogene 3 and aid in the management of various cancers wherein B-cell lymphoma 2-associated athanogene 3 is profoundly overexpressed.
Tags from this library: No tags from this library for this title. Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Call number Status Date due Barcode Item holds
Articles Abstract Database Articles Abstract Database School of Pharmacy
Archieval Section
Not for loan 2022-2223
Total holds: 0

B-cell lymphoma 2-associated athanogene 3 protein is profoundly expressed in various cancer tissues, which
can lead to proliferation, migration and invasion of cancer. The raw data for microarray data analysis was
obtained from the dataset record GDS2918. The self-organizing map and k-means of the genesis led to the
identification of two clusters containing B-cell lymphoma 2-associated athanogene 3 gene among others;
cluster number 1 (consisting of 902 genes) from self-organizing map and cluster number 09 (consisting of
348 genes) from k-means. The post clustering tool, SimGene, of Easy M-A was exploited to establish 84
genes with similar expressions as that of B-cell lymphoma 2-associated athanogene 3. The neighbor-joining
method in molecular evolutionary genetics analysis version 5 clearly establishes the evolutionary similarity
in between B-cell lymphoma 2-associated athanogene 3 and Small glutamine rich tetratricopeptide repeat
containing beta. The EasyModeller was utilized for homology modeling of B-cell lymphoma 2-associated
athanogene 3 and Small glutamine rich tetratricopeptide repeat containing beta proteins. The protein data
bank files were subjected to Procheck in structural analysis and verification server, which evaluates by
Ramachandran plot. The selected models were further subjected to loop modeling and validation. Ligands
were identified by using DrugBank and were docked against B-cell lymphoma 2-associated athanogene
3 and Small glutamine rich tetratricopeptide repeat containing beta using AutoDock tool. This led to the
identification of two compounds, i.e., DB07503 and DB13715 with potential to modulate B-cell lymphoma
2-associated athanogene 3 and aid in the management of various cancers wherein B-cell lymphoma
2-associated athanogene 3 is profoundly overexpressed.

There are no comments for this item.

Log in to your account to post a comment.

Click on an image to view it in the image viewer

Unique Visitors hit counter Total Page Views free counter
Implemented and Maintained by AIKTC-KRRC (Central Library).
For any Suggestions/Query Contact to library or Email: librarian@aiktc.ac.in | Ph:+91 22 27481247
Website/OPAC best viewed in Mozilla Browser in 1366X768 Resolution.

Powered by Koha