Vedic Research International Bioinformatics and Proteomics
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2330-0272
Latest Documents Most Cited Documents Contributed Authors Related Sources Related Keywords

Modeling and docking analysis of GPR87 with anti-cancer drugs

2015 ◽  
Vol 3 (1) ◽  
pp. 5
Author(s):  
Mukta Rani ◽  
Anuradha Nischal ◽  
Ganesh Chandra Sahoo ◽  
Sanjay Khattri
Keyword(s):  
Cancer Drugs ◽  
Docking Analysis ◽  
Anti Cancer

Comparison of ADAM and ADAMTS protein families in human, frog, fly and worm genomes.

2014 ◽  
Vol 2 (1) ◽  
pp. 6
Author(s):  
Krishna Kishore Inampudi ◽  
G R Hemalatha ◽  
L Guruprasad
Keyword(s):  
Protein Families

Creation and designing of PENN Database for natural molecules effective against age related disorders

2014 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Neelam Jain ◽  
Sanjana M Bhat ◽  
Teesta V Katte ◽  
Avnish Bhattrai ◽  
Sahana Rao ◽  
...  
Keyword(s):  
Age Related

In silico Assessment of Factor Xa Inhibitors by Docking Studies

2013 ◽  
Vol 1 (1) ◽  
pp. 9 ◽  
Author(s):  
Syed Mohamed Abubacker ◽  
Akkiraju Pavanchand ◽  
Siddique Babu Basheer ◽  
Konereddy Sriveena ◽  
Rachel Paul ◽  
...  
Keyword(s):  
In Silico ◽  
Factor Xa ◽  
Docking Studies ◽  
Factor Xa Inhibitors

Molecular docking and ADMET study of quinoline-based derivatives for anti-cancer activity

2013 ◽  
Vol 1 (1) ◽  
pp. 1
Author(s):  
Manoj Kumar Mahto ◽  
Khunza Meraj ◽  
Karaneh Eftekhari ◽  
Motahari Nejad Zeinab ◽  
Gundluru Poojitha ◽  
...  
Keyword(s):  
Molecular Docking ◽  
Anti Cancer ◽  
Cancer Activity

Pharmacophore Modelling, 3D-QSAR Study and Docking of Naphthol derivatives as B-Raf(V600E) Receptor Antagonists

2013 ◽  
Vol 1 (1) ◽  
pp. 18 ◽  
Author(s):  
Khunza Meraj ◽  
K Kiran Kumar ◽  
Mohamed Sidig Shaikheldin ◽  
Soltani Nejad Azam ◽  
Parvathgari Reddy Anugnya ◽  
...  
Keyword(s):  
3D Qsar ◽  
Receptor Antagonists ◽  
Qsar Study ◽  
Pharmacophore Modelling ◽  
Naphthol Derivatives
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