Sameer Hassan

Homology modelling, docking, pharmacophore and site directed mutagenesis analysis to identify the critical amino acid residue of PknI from Mycobacterium tuberculosis

Tuberculosis is caused by Mycobacterium tuberculosis, an intracellular pathogen. PknI is one of the 11 functional Serine/Threonine Protein Kinases which is predicted to regulate the cell division of M. tuberculosis. In order to find newer drugs and vaccine we need to understand the pathogenesis of the disease. We have used the bioinformatics approach to identify the functionally active residues of PknI and to confirm the same with wet lab experiments. In the current study, we have created homology model for PknI and have done comparative structural analysis of PknI with other kinases. Molecular docking studies were done with a library of kinase inhibitors and T95 was found as the potent inhibitor for PknI. Based on structure based pharmacophore analysis of kinase substrate complexes, Lys 41 along with Asp90, Val92 and Asp96 were identified as functionally important residues. Further, we used site directed mutagenesis technique to mutate Lys 41 to Met resulting in defective cell division of Mycobacterium smegmatis mc(2). Overall, the proposed model together with its binding features gained from pharmacophore docking studies helped in identifying ligand inhibitor specific to PknI which was confirmed by laboratory experiments.

Insights into RpoB clinical mutants in mediating rifampicin resistance in Mycobacterium tuberculosis

Rifampicin (RIF) an essential first-line anti-tuberculosis (TB) drug, resistance to RIF is a potential threat to TB control program and widely considered as surrogate marker for detection of multi-drug resistant-TB (MDR-TB), molecular understanding of which is the utmost need of the hour. Mutations at RIF resistance-determining region (RRDR) of 81-bp in the rpoB gene coding for β subunit or RpoB protein is the major cause of RIF resistance in Mycobacterium tuberculosis (MTB). Mutation at positions 526 and 531 are generally associated with high-level RIF resistance and at codons 516, 521 and 533 with low-level resistance. Thus, in order to understand the interactions between the clinical mutants (MTs) of RpoB and RIF which are responsible for mediating both levels of RIF resistance from MTB. In the present study, models of wild type (WT) and seven MTs (D516V, L521M, H526D, H526R, H526Y, S531L and L533P) of RpoB from MTB were generated using crystal structure of 2A68 and 4KBM as templates, for deducing 3 domains structure. Molecular docking between RpoB proteins and RIF was carried out, which showed higher values for WT compared to MTs. The high score in WT may be due to the presence of favorable interactions with RIF and MT-L521M which lacks in other MTs. Molecular dynamics (MD) simulation was performed for over 10 nanoseconds, which suggest the root mean square deviation (RMSD) was more and root mean square fluctuation (RMSF) was less in WT compared to MTs. The ligand RMSD exhibited very unique deviation with the MT-D516V compared to other MTs and WT. The RMSF for MTs such as H526R-H526D, L521M and D516V were higher for residues such as 152, 265, 352, 402, 513, 552, and 577 compared to WT. Hydrogen bond interactions at RIF binding site after MD simulations were found comparatively lower in WT than MTs. Similarly, the binding energy of WT was observed to be lesser in comparison to MTs. All MTs demonstrated certain (2Å) degree of structural deviation from the WT. Overall, these results suggest that RIF binding ability shows differences between WT and MTs, which could be because of different substitutions affecting the conformation of the MT proteins, leading to changes in binding interactions with RIF, eventually to the cause of RIF resistance.

MtbSD–A comprehensive structural database for Mycobacterium tuberculosis

The Mycobacterium tuberculosis Structural Database (MtbSD) (http://bmi.icmr.org.in/mtbsd/MtbSD.php) is a relational database for the study of protein structures of M. tuberculosis. It currently holds information on description, reaction catalyzed and domains involved, active sites, structural homologues and similarities between bound and cognate ligands, for all the 857 protein structures that are available for M. tb proteins. The database will be a valuable resource for TB researchers to select the appropriate protein-ligand complex of a given protein for molecular modelling, docking, virtual screening and structure-based drug designing.

In silico and experimental validation of protein-protein interactions between PknI and Rv2159c from Mycobacterium tuberculosis.

Protein-protein interactions control the diverse and essential molecular processes inside the cell. To maintain the cellular physiology, protein kinases not only signal their substrates through reversible phosphorylation, but they also physically interact with them. PknI, a serine/threonine protein kinase of Mycobacterium tuberculosis is known to be important for cellular homoeostasis. In this study, we have identified the interacting proteins for PknI. We screened for proteins interacting with PknI using an in vitro assay, Far-western blot. This protein kinase specifically interacts with two peroxidase proteins of M. tuberculosis, Rv2159c and Rv0148. The PknI-Rv2159c interaction pair was further studied for the critical amino acid residues in Rv2159c that are responsible for the interaction. Rv2159c, a hypothetical protein is predicted to be an antioxidant with peroxidase activity. We performed homology modelling of Rv2159c protein and molecular docking using multiple docking servers such as Z-Dock and ClusPro. Further, the most favorable conformation of PknI-Rv2159c interaction was obtained using molecular dynamics simulation. The critical amino acid residues of the Rv2159c involved in interaction with PknI were identified. Mutation and docking analysis showed that the Ala1-Gly2-Trp3 residues in Rv2159c structure are responsible for the interaction. The free binding energy between the wild type and mutant complexes using MM-GBSA has provided insight about the stability of PknI-Rv2159c interaction. We propose that, PknI physically interacts with Rv2159c both in vitro and in silico studies.

Multifaced pknE: Apoptosis Inhibition, HIV Co-Infection, Host SignalingCross-Talk and in Orchestrating the Physiology of Mycobacterium tuberculosis

Serine/threonine protein kinases (STPK) regulate various functions in the pathogenesis of Mycobacterium tuberculosis and are listed as prime targets for the cure of tuberculosis (TB) disease. Genetic deletion of pknE helped to unravel its role in nitric oxide stress, an important antimicrobial agent produced by host cells. pknE is well characterized for its functions in host as well as in M. tuberculosis physiology. The current review summarizes the multiple roles of pknE in human pathogenesis. pknE remains the only STPK that has the standalone function of apoptosis suppression and probable role in HIV co-infection.

Exploring the conformational landscapes of HIV protease structural ensembles using principal component analysis: HASSAN et al.

HIV protease, an essential enzyme for viral particle maturation, is an important drug target of HIV. Its structural conformation is a key determinant of both biological function as well as efficient binding of protease inhibitor molecules. In the present study we analyzed 471 crystal structures of HIV‐1 protease to understand the conformational changes induced by mutations or binding of various ligands and substrates. We performed principal component analysis on the ensembles of the HIV‐1 protease structures to explore the conformational landscapes. The study identified structural differences between drug resistant and drug sensitive protease structures. Conformational changes were identified in the A and B chains of homo‐dimeric HIV protease structures having different combinations of mutations, and also rigidity in the binding conformation of HIV drugs within the active site of the protein.© 2018 Wiley Periodicals, Inc.

Advances in Designing and Developing Vaccines, Drugs and Therapeutic Approaches to Counter Human Papilloma Virus

Human papillomavirus (HPV) is a viral infection with skin-to-skin based transmission mode. HPV annually caused over 500,000 cancer cases including cervical, anogenital and oropharyngeal cancer among others. HPV vaccination has become a public-health concern, worldwide, to prevent the cases of HPV infections including precancerous lesions, cervical cancers, and genital warts especially in adolescent female and male population by launching national programs with international alliances. Currently, available prophylactic and therapeutic vaccines are expensive to be used in developing countries for vaccination programs. The recent progress in immunotherapy, biotechnology, recombinant DNA technology and molecular biology along with alternative and complementary medicinal systems have paved novel ways and valuable opportunities to design and develop effective prophylactic and therapeutic vaccines, drugs and treatment approach to counter HPV effectively. Exploration and more researches on such advances could result in the gradual reduction in the incidences of HPV cases across the world. The present review presents a current global scenario and futuristic prospects of the advanced prophylactic and therapeutic approaches against HPV along with recent patents coverage of the progress and advances in drugs, vaccines and therapeutic regimens to effectively combat HPV infections and its cancerous conditions.

Homology modeling of Homo sapiens lipoic acid synthase: Substrate docking and insights on its binding mode

Lipoic acid synthase (LIAS) is an iron-sulfur cluster mitochondrial enzyme which catalyzes the final step in the de novo pathway for the biosynthesis of lipoic acid, a potent antioxidant. Recently there has been significant interest in its role in metabolic diseases and its deficiency in LIAS expression has been linked to conditions such as diabetes, atherosclerosis and neonatal-onset epilepsy, suggesting a strong inverse correlation between LIAS reduction and disease status. In this study we use a bioinformatics approach to predict its structure, which would be helpful to understanding its role. A homology model for LIAS protein was generated using X-ray crystallographic structure of Thermosynechococcus elongatus BP-1 (PDB ID: 4U0P). The predicted structure has 93% of the residues in the most favour region of Ramachandran plot. The active site of LIAS protein was mapped and docked with S-Adenosyl Methionine (SAM) using GOLD software. The LIAS-SAM complex was further refined using molecular dynamics simulation within the subsite 1 and subsite 3 of the active site. To the best of our knowledge, this is the first study to report a reliable homology model of LIAS protein. This study will facilitate a better understanding mode of action of the enzyme-substrate complex for future studies in designing drugs that can target LIAS protein.

A user-friendly web portal for analyzing conformational changes in structures of Mycobacterium tuberculosis

AbstractInitiation of the Tuberculosis Structural Consortium has resulted in the expansion of the Mycobacterium tuberculosis (MTB) protein structural database. Currently, 969 experimentally solved structures are available for 354 MTB proteins. This includes multiple crystal structures for a given protein under different functional conditions, such as the presence of different ligands or mutations. In depth analysis of the multiple structures reveal that subtle differences exist in conformations of a given protein under varied conditions. Therefore, it is immensely important to understand the conformational differences between the multiple structures of a given protein in order to select the most suitable structure for molecular docking and structure-based drug designing. Here, we introduce a web portal (http://bmi.icmr.org.in/mtbsd/torsion.php) that we developed to provide comparative data on the ensemble of available structures of MTB proteins, such as Cα root means square deviation (RMSD), sequence identity, presence of mutations and torsion angles. Additionally, torsion angles were used to perform principal component analysis (PCA) to identify the conformational differences between the structures. Additionally, we present a few case studies to demonstrate this database. Graphical AbstractConformational changes seen in the structures of the enoyl-ACP reductase protein encoded by the Mycobacterial gene inhA

Computational structural analysis of proteins of Mycobacterium tuberculosis and a resource for identifying off-targets

Advancement in technology has helped to solve structures of several proteins including M. tuberculosis (MTB) proteins. Identifying similarity between protein structures could not only yield valuable clues to their function, but can also be employed for motif finding, protein docking and off-target identification. The current study has undertaken analysis of structures of all MTB gene products with available structures was analyzed. Majority of the MTB proteins belonged to the α/β class. 23 different protein folds are used in the MTB protein structures. Of these, the TIM barrel fold was found to be highly conserved even at very low sequence identity. We identified 21 paralogs and 27 analogs of MTB based on domains and EC classification. Our analysis revealed that many of the current drug targets share structural similarity with other proteins within the MTB genome, which could probably be off-targets. Results of this analysis have been made available in the Mycobacterium tuberculosis Structural Database (http://bmi.icmr.org.in/mtbsd/MtbSD.php/search.php) which is a useful resource for current and novel drug targets of MTB.