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Thermodynamic and Structural Studies on the Human Serum Albumin in the Presence of a Polyoxometalate
Ajloo, D.,Behnam, H.,Saboury, A.A.,Mohamadi-Zonoz, F.,Ranjbar, B.,Moosavi-Movahedi, A.A.,Hasani, Z.,Alizadeh, K.,Gharanfoli, M.,Amani, M. Korean Chemical Society 2007 Bulletin of the Korean Chemical Society Vol.28 No.5
The interaction of a polyoxometal (POM), K6SiW11Co(H2O)O39.10H2O (K6) as a Keggin, with human serum albumin (HSA) was studied by different methods and techniques. Binding studies show two sets of binding sites for interaction of POM to HSA. Binding analysis and isothermal calorimetery revealed that, the first set of binding site has lower number of bound ligand per mole of protein (ν), lower Hill constant (n), higher binding constant (K), more negative entropy (ΔS) and more electrostatic interaction in comparison to the second set of binding site. In addition, differential scanning calorimetery (DSC) and spectrophotometery data showed that, there are two energetic domains. The first domain is less stable (lower Tm and Cp) which corresponds to the tail segment of HSA and another with more stability is related to the head segment of HSA. Polyoxometal also decreases the stability of protein as Tm, secondary and tertiary structure as well as quenching of the fluorescence decrease. On other hand, perturbations in tertiary structure are more than secondary structure.
Thermodynamic and Structural Studies on the Human Serum Albumin in the Presence of a Polyoxometalate
D. Ajloo,H. Behnam,A. A. Saboury,F. Mohamadi-Zonoz,B. Ranjbar,A. A. Moosavi-Movahedi,Z. Hasani,K. Alizadeh,M. Gharanfoli,M. Amani 대한화학회 2007 Bulletin of the Korean Chemical Society Vol.28 No.5
The interaction of a polyoxometal (POM), K6SiW11Co(H2O)O39.10H2O (K6) as a Keggin, with human serum albumin (HSA) was studied by different methods and techniques. Binding studies show two sets of binding sites for interaction of POM to HSA. Binding analysis and isothermal calorimetery revealed that, the first set of binding site has lower number of bound ligand per mole of protein (n), lower Hill constant (n), higher binding constant (K), more negative entropy (DS) and more electrostatic interaction in comparison to the second set of binding site. In addition, differential scanning calorimetery (DSC) and spectrophotometery data showed that, there are two energetic domains. The first domain is less stable (lower Tm and Cp) which corresponds to the tail segment of HSA and another with more stability is related to the head segment of HSA. Polyoxometal also decreases the stability of protein as Tm, secondary and tertiary structure as well as quenching of the fluorescence decrease. On other hand, perturbations in tertiary structure are more than secondary structure.
Motamedinia Behnam,Skevington Jeffrey H.,Kelso Scott 한국응용곤충학회 2020 Journal of Asia-Pacific Entomology Vol.23 No.2
The Middle Eastern big-headed fly genus Clistoabdominalis Skevington, 2001 (Diptera: Pipunculidae) is revised including five new species: C. arabicus Motamedinia & Skevington sp. nov., C. nanus Motamedinia & Skevington sp. nov., C. persicus Motamedinia & Skevington sp. nov., C. platyphalligus Motamedinia & Skevington sp. nov. and C. tribulosus Motamedinia & Skevington sp. nov. Eudorylas ascitus De Meyer, 1995 is transferred to Clistoabdominalis, C. ascitus comb. nov. Descriptions of new species, diagnoses, COI DNA barcodes for some species, distribution maps and an illustrated key for all species are provided.
Experimental measurement and modeling of saturated reservoir oil viscosity
Abdolhossein Hemmati-Sarapardeh,Amir H. Mohammadi,Ahmad Ramazani S. A.,Seyed-Mohammad-Javad Majidi,Behnam Mahmoudi 한국화학공학회 2014 Korean Journal of Chemical Engineering Vol.31 No.7
A novel mathematical-based approach is proposed to develop reliable models for prediction of saturatedcrude oil viscosity in a wide range of PVT properties. A new soft computing approach, namely least square supportvector machine modeling optimized with coupled simulated annealing optimization technique, is proposed. Six modelshave been developed to predict saturated oil viscosity, which are designed in such a way that could predict saturatedoil viscosity with every available PVT parameter. The constructed models are evaluated by carrying out extensive experimentalsaturated crude oil viscosity data from Iranian oil reservoirs, which were measured using a “Rolling Ballviscometer.” To evaluate the performance and accuracy of these models, statistical and graphical error analyses wereused simultaneously. The obtained results demonstrated that the proposed models are more robust, reliable and efficientthan existing techniques for prediction of saturated crude oil viscosity.