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| 1 | The role of chemosensory protein 10 in the detection of behaviorally active compounds in brown planthopper, Nilaparvata lugens显示文摘Chemosensory proteins(CSPs)play important roles in insects’chemoreception,although their specific functional roles have not been fully elucidated.In this study,we conducted the developmental expression patterns and competitive binding assay as well as knock‐down assay by RNA interference both in vitro and in vivo to reveal the function of NlugCSP10 from the brown planthopper(BPH),Nilaparvata lugens(Stål),a major pest in rice plants.The results showed that NlugCSP10 messenger RNA was significantly higher in males than in females and correlated to gender,development and wing forms.The fluorescence binding assays revealed that NlugCSP10 exhibited the highest binding affinity with cis‐3‐hexenyl acetate,eicosane,and(+)‐β‐pinene.Behavioral assay revealed that eicosane displayed attractant activity,while cis‐3‐hexenyl acetate,similar to(+)‐β‐pinene significantly repelled N.lugens adults.Silencing of NlugCSP10,which is responsible for cis‐3‐hexenyl acetate binding,significantly disrupted cis‐3‐hexenyl acetate communication.Overall,findings of the present study showed that NlugCSP10 could selectively interrelate with numerous volatiles emitted from host plants and these ligands could be designated to develop slow‐release mediators that attract/repel N.lugens and subsequently improve the exploration of plans to control this insect pest. | Muhammad Irfan Waris Aneela Younas Muhammad Muzammal Adeel Shuang-Gang Duan Sundas Rana Quershi Rana Muhammad Kaleem Ullah Man-Qun Wang | 2020 | Insect Science2020，27，3： | 9 |
| 2 | Prevalence of hepatitis B and C in internally displaced persons of war against terrorism in Swat, Pakistan显示文摘 | Abdul Rauf Muhammad Shahid Nadeem Akbar Ali Muhammad Iqbal Muhammad Mustafa Muhammad Muzammal Latif Muhammad Zahid Latif Nisar Ahmed Abdul Rauf Shakoori | 2011 | The European Journal of Public Health2011，，： | 1 |
| 3 | Molecular and in vitro biochemical assessment of chemosensory protein 10 from brown planthopper Nilaparvata lugens at acidic pH显示文摘Chemosensory proteins(CSPs)are important molecular components of the insect olfactory system,which are involved in capturing,binding,and transporting hydrophobic odour molecules across the sensillum in sensillar lymph in regulating insect behavior.This protein family(CSPs)is also involved in many other systems that are not linked to olfactory receptors in olfactory sensilla.The brown planthopper(BPH)is a monophagous pest of rice that causes damage by sucking phloem sap and transmitting a number of diseases caused by viruses.In this study,fluorescence competitive binding assay and fluorescence quenching assay at acidic p H were performed as well as homology modelling to describe the binding affinity of Nlug CSP10.Fluorescence competitive binding assay(FCBA)demonstrated that Nlug CSP10 bound strongly to nonadecane,farnesene,and 2-tridecanone at acidic p H.The results of FCBA indicated that Nlug CSP10 bound different ligands at the physiological p H(5.0)of the bulk sensillum lymph.Fluorescence quenching assay demonstrated that Nlug CSP10 generated a stable complex with 2-tridecanone,while two ligands nonadecane and farnesene collided due to molecular collisions.The interaction of selected ligands with the modelled structure of Nlug CSP10 was also analyzed,which found the key amino acids(Gln23,Gln24,Gln25,Asn27,Met33,Ser34,Ile35,Tyr36,Asn42,Met43,Val45,Asn46,Asn93,Arg96,Ala97,Lys99,and Ala100)in Nlug CSP10 that were involved in binding of volatile compounds.The present study contributes to the binding profile of Nlug CSP10 that promotes the development of behaviorally active ligands based on BPH olfactory system. | Muhammad Irfan WARIS Aneela YOUNAS Rana Muhammad Kaleem ULLAH Fatima RASOOL Muhammad Muzammal ADEEL WANG Man-qun | 2022 | Journal of Integrative Agriculture2022，21，3： | 0 |
| 4 | Matching user identities across social networks with limited profile data显示文摘Privacy preservation is a primary concern in social networks which employ a variety of privacy preservations mechanisms to preserve and protect sensitive user information including age,location,education,interests,and others.The task of matching user identities across different social networks is considered a challenging task.In this work,we propose an algorithm to reveal user identities as a set of linked accounts from different social networks using limited user profile data,i.e,user-name and friendship.Thus,we propose a framework,ExpandUIL,that includes three standalone al-gorithms based on(i)the percolation graph matching in Ex-pand FullName algorithm,(i)a supervised machine learning algorithm that works with the graph embedding,and(ii)a combination of the two,ExpandUserLinkage algorithm.The proposed framework as a set of algorithms is significant as,(i)it is based on the network topology and requires only name feature of the nodes,(i)it requires a considerably low initial seed,as low as one initial seed suffices,(ii)it is iterative and scalable with applicability to online incoming stream graphs,and(iv)it has an experimental proof of stability over a real ground-truth dataset.Experiments on real datasets,Instagram and VK social networks,show upto 75%recall for linked ac-counts with 96%accuracy using only one given seed pair. | Ildar NURGALIEV Qiang QU Seyed Mojtaba Hosseini BAMAKAN Muhammad MUZAMMAL | 2020 | Frontiers of Computer Science2020，14，6： | 0 |
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