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Islamabad, Pakistan

The International Islamic University , is a public research university located in the urban area of Islamabad, Pakistan. It is regarded as one of the noted institution of Islam, theology, divinity, and the science.Founded and established in 1980, the university was restructured, reorganized, and reconstituted in its current and modern form in 1985. It is one of premium institute of higher learning, and regarded as one of the largest university in the country. With approximated ~30,000 students currently enrolled in IIU, the university is ranked among the top public universities in "general category" by the HEC, as of 2012. The university offers undergraduate, post-graduate, and doctoral studies programmes in science, humanities, arts, religious studies, social and natural science.In addition, the university has nine research faculties and six autonomous academies, institutes and centers. The university is also noted for its engaging efforts to produce educational quality assurance for the purpose of improving academic standards in the country. It is completely distinct from the International Islamic University in Malaysia. Wikipedia.

Lung cancer is the major cause of mortality worldwide. Major signalling pathways that could play significant role in lung cancer therapy include (1) Growth promoting pathways (Epidermal Growth Factor Receptor/Ras/ PhosphatidylInositol 3-Kinase) (2) Growth inhibitory pathways (p53/Rb/P14ARF, STK11) (3) Apoptotic pathways (Bcl-2/Bax/Fas/FasL). Insilico strategy was implemented to solve the mystery behind selected lung cancer pathway by applying comparative modeling and molecular docking studies. YASARA [v 12.4.1] was utilized to predict structural models of P16-INK4 and RB1 genes using template 4ELJ-A and 1MX6-B respectively. WHAT CHECK evaluation tool demonstrated overall quality of predicted P16-INK4 and RB1 with Z-score of -0.132 and -0.007 respectively which showed a strong indication of reliable structure prediction. Protein-protein interactions were explored by utilizing STRING server, illustrated that CDK4 and E2F1 showed strong interaction with P16-INK4 and RB1 based on confidence score of 0.999 and 0.999 respectively. In order to facilitate a comprehensive understanding of the complex interactions between candidate genes with their functional interactors, GRAMM-X server was used. Protein-protein docking investigation of P16-INK4 revealed four ionic bonds illustrating Arg47, Arg80,Cys72 and Met1 residues as actively participating in interactions with CDK4 while docking results of RB1 showed four hydrogen bonds involving Glu864, Ser567, Asp36 and Arg861 residues which interact strongly with its respective functional interactor E2F1. This research may provide a basis for understanding biological insights of P16-INK4 and RB1 proteins which will be helpful in future to design a suitable drug to inhibit the disease pathogenesis as we have determined the interacting amino acids which can be targeted in order to design a ligand in-vitro to propose a drug for clinical trials. Protein -protein docking of candidate genes and their important interacting residues likely to be provide a gateway for developing computer aided drug designing. Source

Shabir M.,Quaid-i-Azam University | Mahmood T.,International Islamic University, Islamabad
Computers and Mathematics with Applications | Year: 2011

In this paper we define (∈,∈∨qk)-fuzzy h-sub hemirings, (∈,∈∨qk)-fuzzy h-bi-ideals,(∈,∈∨qk)-fuzzy h-quasi-ideals. We characterize h-hemiregular and h-intra-hemiregular hemirings by the properties of their (∈,∈∨qk)-fuzzy h-ideals, (∈,∈∨qk)-fuzzy h-bi-idealsand (∈,∈∨qk)-fuzzy h-quasi-ideals. Some of these characterizations are generalizations of the characterizations given in [36] [X. Ma, J. Zhan, Generalized fuzzyh-bi-ideals and h-quasi-ideals of hemirings, Inform. Sci. 179 (2009) 12491268]. © 2010 Elsevier Ltd. All rights reserved. Source

Chaudhary N.I.,International Islamic University, Islamabad | Raja M.A.Z.,COMSATS Institute of Information Technology
Nonlinear Dynamics | Year: 2014

In this study, a novel adaptive strategy is designed based on fractional least mean square (LMS) algorithm for parameter estimation of Hammerstein nonlinear autoregressive moving average system with exogenous noise (HN-ARMAX). The design scheme consists of parameterization of HN-ARMAX systems to obtain linear-in-parameter models and to use fractional LMS algorithm for adapting unknown parameter vectors. The performance analysis of the proposed method is carried out based on convergence to the desired values of HN-ARMAX systems, and comparison is made with state-of-the-art kernel LMS and Volterra LMS algorithms. The consistency in terms of accuracy and convergence is established through the results of statistical analysis based on sufficient large number of independent runs rather than single successful run of the algorithm. The performance of proposed scheme is superior due to its strong mathematical foundations, nonlinear weight updating mechanism and more convergence controlling variables but at the cost of bit more computational requirements. © 2014, Springer Science+Business Media Dordrecht. Source

Raja M.A.Z.,COMSATS Institute of Information Technology | Raja M.A.Z.,International Islamic University, Islamabad
Information Sciences | Year: 2014

In this article, the numerical techniques are presented for the solution of Troesch's problem based on neural networks optimized with three different methods including particle swarm optimization (PSO), active set (AS) and PSO hybridized with AS (PSO-AS) algorithms. The variable transformation is applied in order to convert the original problem to a transformed problem which is relatively less stiff to solve. Feed-forward artificial neural networks are used to model the transformed problem. Learning of adjustable parameters is made with PSO, AS and PSO-AS algorithms. The proposed methodologies are applied to a number of cases for stiff and non-stiff boundary value problems. The comparative analyses are carried out with other standard numerical solutions, as well as approximate analytical solver. © 2014 Elsevier Inc. All rights reserved. Source

Azam A.,COMSATS Institute of Information Technology | Arshad M.,International Islamic University, Islamabad
Fuzzy Sets and Systems | Year: 2010

In this paper a result on common fixed point theorem for a pair of contractive type fuzzy mappings in a metric space is established which improves the result of Vijayaraju and Marudai [Fixed point theorems for fuzzy mappings, Fuzzy Sets and Systems 135 (2003) 401-408]. © 2009 Elsevier B.V. All rights reserved. Source

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