Browsing by Author "Sher Afzal Khan"

Now showing 1 - 3 of 3
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    A novel modeling in mathematical biology for classification of signal peptides
    (Scientific Reports, 2018) Asma Ehsan; Khalid Mahmood; Yaser Daanial Khan; Sher Afzal Khan; Chou, Kuo-Chen
    The molecular structure of macromolecules in living cells is ambiguous unless we classify them in a scientifc manner. Signal peptides are of vital importance in determining the behavior of newly formed proteins towards their destined path in cellular and extracellular location in both eukaryotes and prokaryotes. In the present research work, a novel method is ofered to foreknow the behavior of signal peptides and determine their cleavage site. The proposed model employs neural networks using isolated sets of prokaryote and eukaryote primary sequences. Protein sequences are classifed as secretory or non-secretory in order to investigate secretory proteins and their signal peptides. In comparison with the previous prediction tools, the proposed algorithm is more rigorous, wellorganized, signifcantly appropriate and highly accurate for the examination of signal peptides even in extensive collection of protein sequences.
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    A survey on search results diversification techniques
    (Neural Comput & Applic, 2015) Adnan Abid; Naveed Hussain; Kamran Abid; Farooq Ahmad; Muhammad Shoaib Farooq; Uzma Farooq; Sher Afzal Khan; Yaser Daanial Khan; Muhammad Azhar Naeem; Nabeel Sabir
    The quantity of information placed on the web has been greater than before and is increasing rapidly day by day. Searching through the huge amount of data and finding the most relevant and useful result set involves searching, ranking, and presenting the results. Most of the users probe into the top few results and neglect the rest. In order to increase user’s satisfaction, the presented result set should not only be relevant to the search topic, but should also present a variety of perspectives, that is, the results should be different from one another. The effectiveness of web search and the satisfaction of users can be enhanced through providing various results of a search query in a certain order of relevance and concern. The technique used to avoid presenting similar, though relevant, results to the user is known as a diversification of search results. This article presents a survey of the approaches used for search result diversification. To this end, this article not only provides a technical survey of existing diversification techniques, but also presents a taxonomy of diversification algorithms with respect to the types of search queries.
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    What should be taught about arrays in cs2?
    (Journal of Applied Environmental and Biological Sciences, 2014) Muhammad Shoaib Farooq; Sher Afzal Khan; Aqsa Ali; Adnan Abid
    In this article we have presented a thorough discussion on an important topic, the array which is taught in the fundamental courses in computer programming. To this end, we have presented taxonomy of arrays based on the following four main topics: i) Memory representations; ii) Mapping Functions; iii) Subscript type; and iv) Abstract data types. We also suggest a flow of teaching these topics to the students. We believe that this effort will be useful for the instructors to plan their courses, and will be a good source of learning in general.