Institution
Central Drug Research Institute
Facility•Lucknow, Uttar Pradesh, India•
About: Central Drug Research Institute is a facility organization based out in Lucknow, Uttar Pradesh, India. It is known for research contribution in the topics: Leishmania donovani & Brugia malayi. The organization has 4357 authors who have published 7257 publications receiving 143871 citations. The organization is also known as: Central Drug Research Institute, Lucknow & CDRI.
Papers published on a yearly basis
Papers
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TL;DR: Optimize geometries, electronic charge distribution, dipole moments and three-dimensional molecular electrostatic potential surfaces have been obtained and these have been used to understand the structure and spectral characteristics of the two compounds.
54 citations
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TL;DR: Biochemical studies reveal that inhibition of hemozoin formation is the primary mechanism of action of these analogues, and they are shown to have similar antimalarial activity at par with chloroquine.
54 citations
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TL;DR: In this paper, 2-Mercaptoethanol reacts selectively with the 5β, 6β-epoxy steroids isolated from Withania somnifera substituting the epoxide by a six-membered oxyethylene-2′-thio ring.
54 citations
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TL;DR: A combinatorial protocol is introduced here to interface it with the multiple linear regression (MLR) for variable selection and it is demonstrated that the proposed method should be able to offer solutions to data sets with 50 to 60 descriptors in reasonable time frame.
Abstract: A combinatorial protocol (CP) is introduced here to interface it with the multiple linear regression (MLR) for variable selection. The efficiency of CP-MLR is primarily based on the restriction of entry of correlated variables to the model development stage. It has been used for the analysis of Selwood et al data set [16], and the obtained models are compared with those reported from GFA [8] and MUSEUM [9] approaches. For this data set CP-MLR could identify three highly independent models (27, 28 and 31) with Q 2 value in the range of 0.632 -0.518. Also, these models are divergent and unique. Even though, the present study does not share any models with GFA [8], and MUSEUM [9] results, there are several descriptors common to all these studies, including the present one. Also a simulation is carried out on the same data set to explain the model formation in CP-MLR. The results demonstrate that the proposed method should be able to offer solutions to data sets with 50 to 60 descriptors in reasonable time frame. By carefully selecting the interparameter correlation cutoff values in CP-MLR one can identify divergent models and handle data sets larger than the present one without involving excessive computer time.
54 citations
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TL;DR: This study for the first time provided a cumulative proteomic analysis of proteins overexpressed in drug resistant clinical isolates of L. donovani indicating their possible role in antimony resistance of the parasite.
Abstract: WHAT IS ALREADY KNOWN ABOUT THIS SUBJECT
Over 60% of patients with visceral leishmaniasis (VL) in India and Sudan have become unresponsive to treatment with pentavalent antimonials, the first line of drugs for over 60 years. The drug resistance mechanism, studied so far in in vitro selected laboratory strains, has been attributed to various biochemical parameters. The resistance to Sb (V) in Leishmania field isolates is still unexplored.
WHAT THIS STUDY ADDS
In order to elucidate for the first time the mechanism of drug resistance in field isolates, this study was done in those clinically relevant field isolates which were either responsive or non responsive to SAG. A comparison of proteome profiles of membrane-enriched as well as cytosolic protein fractions of these isolates has pinpointed the multiple overexpressed proteins in resistant isolates. This study has indicated their possible essential role in antimony resistance of the parasite and provides a vast field to be exploited to find much needed novel treatment strategies against VL.
AIMS
This study aimed to identify differentially overexpressed membrane-enriched as well as cytosolic proteins in SAG sensitive and resistant clinical strains of L. donovani isolated from VL patients which are involved in the drug resistance mechanism.
METHODS
The proteins in the membrane-enriched as well as cytosolic fractions of drug-sensitive as well as drug-resistant clinical isolates were separated using two-dimensional gel electrophoresis and overexpressed identified protein spots of interest were excised and analysed using MALDI-TOF/TOF.
RESULTS
Six out of 12 overexpressed proteins were identified in the membrane-enriched fraction of the SAG resistant strain of L. donovani whereas 14 out of 18 spots were identified in the cytosolic fraction as compared with the SAG sensitive strain. The major proteins in the membrane-enriched fraction were ABC transporter, HSP-83, GPI protein transamidase, cysteine–leucine rich protein and 60S ribosomal protein L23a whereas in the cytosolic fraction proliferative cell nuclear antigen (PCNA), proteasome alpha 5 subunit, carboxypeptidase, HSP-70, enolase, fructose-1,6-bisphosphate aldolase, tubulin-beta chain have been identified. Most of these proteins have been reported as potential drug targets, except 60S ribosomal protein L23a and PCNA which have not been reported to date for their possible involvement in drug resistance against VL.
CONCLUSION
This study for the first time provided a cumulative proteomic analysis of proteins overexpressed in drug resistant clinical isolates of L. donovani indicating their possible role in antimony resistance of the parasite. Identified proteins provide a vast field to be exploited for novel treatment strategies against VL such as cloning and overexpression of these targets to produce recombinant therapeutic/prophylactic proteins.
54 citations
Authors
Showing all 4385 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sanjay Kumar | 120 | 2052 | 82620 |
John A. Katzenellenbogen | 95 | 691 | 36132 |
Brajesh K. Singh | 83 | 401 | 24101 |
Gaurav Sharma | 82 | 1244 | 31482 |
Sudhir Kumar | 82 | 524 | 216349 |
Pramod K. Srivastava | 79 | 390 | 27330 |
Mohan K. Raizada | 75 | 473 | 21452 |
Syed F. Ali | 71 | 446 | 18669 |
Ravi Shankar | 66 | 672 | 19326 |
Ramesh Chandra | 66 | 620 | 16293 |
Manoj Kumar | 65 | 408 | 16838 |
Manish Kumar | 61 | 1425 | 21762 |
Anil Kumar Saxena | 58 | 310 | 10107 |
Sanjay Krishna | 56 | 624 | 13731 |
Naibedya Chattopadhyay | 56 | 242 | 9795 |