Molecular docking and molecular dynamics studies reveal structural basis of inhibition and selectivity of inhibitors EGCG and OSU-03012 toward glucose regulated protein-78 (GRP78) overexpressed in glioblastoma
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| 024 | 7 | 0 | |a 10.1007/s00894-015-2801-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00894-015-2801-3 | ||
| 245 | 0 | 0 | |a Molecular docking and molecular dynamics studies reveal structural basis of inhibition and selectivity of inhibitors EGCG and OSU-03012 toward glucose regulated protein-78 (GRP78) overexpressed in glioblastoma |h [Elektronische Daten] |c [Rituparna Bhattacharjee, Arpita Devi, Seema Mishra] |
| 520 | 3 | |a Glioblastoma (GBM), a malignant form of brain tumor, has a high mortality rate. GRP78, one of the HSP70 protein family members, is overexpressed in GBM. GRP78 is the key chaperone protein involved in the unfolded protein response. Upregulated GRP78 expression in cancer cells inhibits apoptosis and promotes chemoresistance. GRP78 has an ATPase domain, a substrate-binding domain, and a linker region. ATP-competitive inhibitors such as EGCG and OSU-03012 inhibit GRP78 activity and reduce its expression in GBM. However, there is a lack of structural data on the binding modes of these inhibitors to GRP78 ATPase domain. Further, the mode of selectivity of these inhibitors toward GRP78 also is unknown. Toward this end, molecular docking was performed with AutoDock Vina and confirmation obtained by docking using ROSIE. The stability and MM-PBSA binding energy of GRP78-inhibitor complexes as well as energetic contribution of individual residues was analyzed by 50 ns molecular dynamics run with GROMACS.MSA by ClustalW2 identified unique amino acid residues in the ATPase domain of GRP78 which were different from the residues present in other HSP70 proteins. Important and unique amino acid residues of GRP78 such as Ile61, Glu293, Arg297, and Arg367 played a major role in the intermolecular interactions with these inhibitors. The interactions with unique residues of GRP78 as compared with those of HSP70-1A provided the basis for selectivity. It was found that the binding affinity and specificity/selectivity of EGCG toward GRP78 was higher than that toward HSP70-1A, and selectivity was even better than OSU-03012. OSU-03012 was predicted to bind to GRP78. Analyses from MD runs showed tight binding and stability of complexes, and the highest number of hydrogen bonds during the trajectory runs were comparable to those found in the docking studies. Energetic contribution of individual inhibitor-interacting residues showed that energy values of Ile61 and Glu293 were among the most negative. These studies are, to the best of our knowledge, the first studies characterizing EGCG and OSU-03012 interactions with GRP78 on a structural basis and provide a significant insight into their binding modes, selectivity, and structural stability. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2015 | ||
| 690 | 7 | |a Glioblastoma |2 nationallicence | |
| 690 | 7 | |a Glucose regulated protein 78 (GRP78) |2 nationallicence | |
| 690 | 7 | |a Heat shock protein 70 |2 nationallicence | |
| 690 | 7 | |a EGCG |2 nationallicence | |
| 690 | 7 | |a OSU-03012 |2 nationallicence | |
| 690 | 7 | |a Molecular docking |2 nationallicence | |
| 690 | 7 | |a Molecular dynamics |2 nationallicence | |
| 690 | 7 | |a Selectivity |2 nationallicence | |
| 690 | 7 | |a Unfolded protein response (UPR) |2 nationallicence | |
| 690 | 7 | |a MM-PBSA |2 nationallicence | |
| 690 | 7 | |a GBM : Glioblastoma |2 nationallicence | |
| 690 | 7 | |a GRP78 : Glucose regulated protein 78 |2 nationallicence | |
| 690 | 7 | |a UPR : Unfolded protein response |2 nationallicence | |
| 690 | 7 | |a HSP70-1A : Heat shock protein 70-1A |2 nationallicence | |
| 690 | 7 | |a ATP : Adenosine triphosphate |2 nationallicence | |
| 690 | 7 | |a ANP : Phosphoaminophosphonic acid-adenylate ester |2 nationallicence | |
| 690 | 7 | |a EGCG : (−)-Epigallocatechingallate |2 nationallicence | |
| 690 | 7 | |a PDB : Protein data bank |2 nationallicence | |
| 690 | 7 | |a SDF : Structure data format |2 nationallicence | |
| 690 | 7 | |a MSA : Multiple sequence alignment |2 nationallicence | |
| 690 | 7 | |a MD : Molecular dynamics |2 nationallicence | |
| 690 | 7 | |a ns : Nanoseconds |2 nationallicence | |
| 690 | 7 | |a MM-PBSA : Molecular mechanics/Poisson−Boltzmann surface area |2 nationallicence | |
| 700 | 1 | |a Bhattacharjee |D Rituparna |u Department of Biochemistry, School of Life Sciences, University of Hyderabad, 500046, Hyderabad, India |4 aut | |
| 700 | 1 | |a Devi |D Arpita |u Department of Biochemistry, School of Life Sciences, University of Hyderabad, 500046, Hyderabad, India |4 aut | |
| 700 | 1 | |a Mishra |D Seema |u Department of Biochemistry, School of Life Sciences, University of Hyderabad, 500046, Hyderabad, India |4 aut | |
| 773 | 0 | |t Journal of Molecular Modeling |d Springer Berlin Heidelberg |g 21/10(2015-10-01), 1-17 |x 1610-2940 |q 21:10<1 |1 2015 |2 21 |o 894 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00894-015-2801-3 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00894-015-2801-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Bhattacharjee |D Rituparna |u Department of Biochemistry, School of Life Sciences, University of Hyderabad, 500046, Hyderabad, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Devi |D Arpita |u Department of Biochemistry, School of Life Sciences, University of Hyderabad, 500046, Hyderabad, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Mishra |D Seema |u Department of Biochemistry, School of Life Sciences, University of Hyderabad, 500046, Hyderabad, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Journal of Molecular Modeling |d Springer Berlin Heidelberg |g 21/10(2015-10-01), 1-17 |x 1610-2940 |q 21:10<1 |1 2015 |2 21 |o 894 | ||