110. An-Nasr/Help
I/We begin by the Blessed Name of Allah
The Immensely Merciful to all, The Infinitely Compassionate to everyone.
110:01
a. When Allah’s help arrives and HE opens up your way to victory after victory,
110:02
a. then you see people entering Allah’s Religion of Islam en-mass, in swarming crowds.
110:03
a. So glorify your Rabb - The Lord with HIS Praise,
b. and seek HIS Forgiveness.
c. Surely HE is the Acceptor of Repentance and Ever-Pardoning.
Sir Syed Aḥmed Khān belonged to a famous family of the subcontinent during the late Mughal and early British colonial period. He was famous for his close relations with the colonial government. He served many years in the judiciary. In recognition of his services, he was conferred upon with various titles such as Sir, The Imperial Advisor, etc. He is the founder of the educational campaign which was later known as the Aligarh movement. He was worried about the future of Muslims in India. This worry forced him to produce various literary and Islamic books to uplift the political, cultural, educational and social status of the Indian Muslims. One of his famous contribution to Islamic literature of Quranic exegeses is his Tafsīr al-Qur’ān. His tafsīr is influenced by western thoughts. He, instead of following the traditional methodology of Quranic exegeses, tried to understand the Quranic verses rationally. This led him to deviate from many established concepts of Islamic doctrines. He went against the Muslims’ affirmed beliefs in his exegesis. He mistrusted some of the basics of Islamic thoughts and tried his best to make new parameters of writing & reading of the Quranic exegesis on human logics. In addition, some of his views show certain relevance to the Mu'tazilites school of thought. The aim of this paper is to present an analytical and a critical evaluation of the exegetical opinions of Sir Syed Aḥmed Khān, particularly on the issues where he deviated from the mainstream Islamic thoughts in his exegesis, Tafsīr al-Qur’ān.
One of the most common places for the development and spread of bacterial resistance are hospitals. These bacteria are present on the inanimate objects and therefore can be a possible cause of cross infections. This cross infection can rise the disease and death rates, which results in increasing costs of healthcare, prolonged hospital stays and requires further expensive medications. Therefore, the current study was aimed at determining the prevalence of these resistant bacteria, their antibiogram pattern, presence of resistant gene(s) and molecular docking studies. In our study the most common bacteria among Gram-positive was Staphylococcus aureus (81%) while in Gram-negative Citro bacter (25%) showed the highest growth followed by Pseudomonas aeruginosa (23%), Provedencia spp (16%), Proteus spp and E.coli (10%), Klebsiella spp (6%), Shigella and Serratia spp (4%) and Salmonella spp (2%). The most potent antibiotic against S. aureus and Citrobacter was Vancomycin (80% sensitive) and Amikacin (63.04%), respectively. The β-lactamase TEM and Metallo- β-lactamase NDM were most common among the Extended-β-lactamase (ESBLs) and Metalo-β-lactamase (MBLs) genes. For β-lactamase TEM, Metallo-β-lactamase and other β-lactamase proteins, numerous classes of inhibitors have been reported in the literature. These proteins revealed to be involved in providing resistance to certain antibiotics, thus, the inhibition of these proteins is vital for achieving the optimum treatment. In the current work, In-silico methods were used for the discovery of novel and potent inhibitors for these proteins. On the basis of ligands attached in the three-dimensional proteins structures, Complex-based pharmacophore models were generated for screening the drug like ZINC database. Before screening, the generated pharmacophore models were validated on a test database of active and non-active compounds. From the result Abstract xxvi | P a g e of virtual-screening, 571 structurally varied compounds from Ethyl Boronic Acid, 866 from L-Captopril and 1020 from Nacubactam were saved. The initial retrieved hits were selected for cleaning via Lipinski’s rule of five to calculate the drug-like properties. The compounds which attained the standards of drug-like properties were additionally evaluated by the docking simulations. Final concluding 30 compounds (10 for each of the selected protein) producing varied structure and the modes of binding in the active pocket of the designated proteins were concluded as new and important inhibitors. Each identified inhibitor has diverse frameworks and possibility of novel and probable inhibitors for β-lactamase TEM, Metallo-β-lactamase and β lactamase.