Study of resveratrol against bone loss by using in-silico and in-vitro methods / Estudo do resveratrol contra a perda óssea usando métodos in silico e in vitro

By applying the in-silico method, resveratrol was docked on those proteins which are responsible for bone loss. The Molecular docking data between the resveratrol and Receptor activator of nuclear factor-kappa-Β ligand [RANKL] receptors proved that resveratrol binds tightly to the receptors, showed the highest binding affinities of −6.9, −7.6, −7.1, −6.9, −6.7, and −7.1 kcal/mol. According to in-vitro data, Resveratrol reduced the osteoclasts after treating Marrow-Derived Macrophages [BMM] with Macrophage colony-stimulating factor [MCSF] 20ng / ml and RANKL 50ng / ml, with different concentrations of resveratrol (2.5, 10 μg / ml) For 7 days, the cells were treated with MCSF (20 ng / ml) and RANKL (40 ng / ml) together with concentrated trimethyl ether and resveratrol (2.5, 10 μg / ml) within 12 hours. Which, not affect cell survival. After fixing osteoclast cells with formaldehyde fixative on glass coverslip followed by incubation with 0.1% Triton X-100 in PBS for 5 min and after that stain with rhodamine phalloidin staining for actin and Hoechst for nuclei. Fluorescence microscopy was performed to see the distribution of filaments actin [F.actin]. Finally, resveratrol reduced the actin ring formation. Resveratrol is the best bioactive compound for drug preparation against bone loss.

Com a aplicação do método in-silico, o resveratrol foi ancorado nas proteínas responsáveis pela perda óssea. Os dados de docking molecular entre o resveratrol e o ligante do receptor ativador do fator nuclear kappa-Β [Receptor Activator of Nuclear Factor kappa-B Ligant (RANKL)] provaram que o resveratrol se liga fortemente aos receptores, mostraram as afinidades de ligação mais altas de −6,9, −7,6, −7,1, −6,9, - 6,7 e -7,1 kcal / mol. De acordo com dados in-vitro, o resveratrol reduziu os osteoclastos após o tratamento de macrófagos derivados da medula óssea [Bone Marrow derived Macrophage (BMM)] com fator estimulador de colônias de macrófagos [Macrophage Colony-Stimulating Factor (MCSF)] 20ng / ml e RANKL 50ng / ml, com diferentes concentrações de resveratrol (2,5, 10 μg / ml). Durante sete dias, as células foram tratadas com MCSF (20 ng / ml) e RANKL (40 ng / ml) juntamente com éter trimetílico concentrado e resveratrol (2,5, 10 μg / ml) em 12 horas, processo que não afeta a sobrevivência celular. Após a fixação de células de osteoclastos com fixador de formaldeído em lamela de vidro seguido de incubação com 0,1% Triton X-100 em PBS por 5 min, foi realizado posteriormente o procedimento para corar com rodamina faloidina a actina e Hoechst os núcleos. A microscopia de fluorescência foi realizada para ver a distribuição dos filamentos de actina [F.actina]. Finalmente, o resveratrol reduziu a formação do anel de actina. O resveratrol é o melhor composto bioativo para o preparo de medicamentos contra a perda óssea.

Study of resveratrol against bone loss by using in-silico and in-vitro methods

Abstract By applying the in-silico method, resveratrol was docked on those proteins which are responsible for bone loss. The Molecular docking data between the resveratrol and Receptor activator of nuclear factor-kappa- ligand [RANKL] receptors proved that resveratrol binds tightly to the receptors, showed the highest binding affinities of 6.9, 7.6, 7.1, 6.9, 6.7, and 7.1 kcal/mol. According to in-vitro data, Resveratrol reduced the osteoclasts after treating Marrow-Derived Macrophages [BMM] with Macrophage colony-stimulating factor [MCSF] 20ng / ml and RANKL 50ng / ml, with different concentrations of resveratrol (2.5, 10 g / ml) For 7 days, the cells were treated with MCSF (20 ng / ml) and RANKL (40 ng / ml) together with concentrated trimethyl ether and resveratrol (2.5, 10 g / ml) within 12 hours. Which, not affect cell survival. After fixing osteoclast cells with formaldehyde fixative on glass coverslip followed by incubation with 0.1% Triton X-100 in PBS for 5 min and after that stain with rhodamine phalloidin staining for actin and Hoechst for nuclei. Fluorescence microscopy was performed to see the distribution of filaments actin [F.actin]. Finally, resveratrol reduced the actin ring formation. Resveratrol is the best bioactive compound for drug preparation against bone loss.

Resumo Com a aplicação do método in-silico, o resveratrol foi ancorado nas proteínas responsáveis pela perda óssea. Os dados de docking molecular entre o resveratrol e o ligante do receptor ativador do fator nuclear kappa- [Receptor Activator of Nuclear Factor kappa-B Ligant (RANKL)] provaram que o resveratrol se liga fortemente aos receptores, mostraram as afinidades de ligação mais altas de 6,9, 7,6, 7,1, 6,9, - 6,7 e -7,1 kcal / mol. De acordo com dados in-vitro, o resveratrol reduziu os osteoclastos após o tratamento de macrófagos derivados da medula óssea [Bone Marrow-derived Macrophage (BMM)] com fator estimulador de colônias de macrófagos [Macrophage Colony-Stimulating Factor (MCSF)] 20ng / ml e RANKL 50ng / ml, com diferentes concentrações de resveratrol (2,5, 10 g / ml). Durante sete dias, as células foram tratadas com MCSF (20 ng / ml) e RANKL (40 ng / ml) juntamente com éter trimetílico concentrado e resveratrol (2,5, 10 g / ml) em 12 horas, processo que não afeta a sobrevivência celular. Após a fixação de células de osteoclastos com fixador de formaldeído em lamela de vidro seguido de incubação com 0,1% Triton X-100 em PBS por 5 min, foi realizado posteriormente o procedimento para corar com rodamina faloidina a actina e Hoechst os núcleos. A microscopia de fluorescência foi realizada para ver a distribuição dos filamentos de actina [F.actina]. Finalmente, o resveratrol reduziu a formação do anel de actina. O resveratrol é o melhor composto bioativo para o preparo de medicamentos contra a perda óssea.

Study of resveratrol against bone loss by using in-silico and in-vitro methods / Estudo do resveratrol contra a perda óssea usando métodos in silico e in vitro

Abstract By applying the in-silico method, resveratrol was docked on those proteins which are responsible for bone loss. The Molecular docking data between the resveratrol and Receptor activator of nuclear factor-kappa-Β ligand [RANKL] receptors proved that resveratrol binds tightly to the receptors, showed the highest binding affinities of −6.9, −7.6, −7.1, −6.9, −6.7, and −7.1 kcal/mol. According to in-vitro data, Resveratrol reduced the osteoclasts after treating Marrow-Derived Macrophages [BMM] with Macrophage colony-stimulating factor [MCSF] 20ng / ml and RANKL 50ng / ml, with different concentrations of resveratrol (2.5, 10 μg / ml) For 7 days, the cells were treated with MCSF (20 ng / ml) and RANKL (40 ng / ml) together with concentrated trimethyl ether and resveratrol (2.5, 10 μg / ml) within 12 hours. Which, not affect cell survival. After fixing osteoclast cells with formaldehyde fixative on glass coverslip followed by incubation with 0.1% Triton X-100 in PBS for 5 min and after that stain with rhodamine phalloidin staining for actin and Hoechst for nuclei. Fluorescence microscopy was performed to see the distribution of filaments actin [F.actin]. Finally, resveratrol reduced the actin ring formation. Resveratrol is the best bioactive compound for drug preparation against bone loss.

Resumo Com a aplicação do método in-silico, o resveratrol foi ancorado nas proteínas responsáveis ​​pela perda óssea. Os dados de docking molecular entre o resveratrol e o ligante do receptor ativador do fator nuclear kappa-Β [Receptor Activator of Nuclear Factor kappa-B Ligant (RANKL)] provaram que o resveratrol se liga fortemente aos receptores, mostraram as afinidades de ligação mais altas de −6,9, −7,6, −7,1, −6,9, - 6,7 e -7,1 kcal / mol. De acordo com dados in-vitro, o resveratrol reduziu os osteoclastos após o tratamento de macrófagos derivados da medula óssea [Bone Marrow-derived Macrophage (BMM)] com fator estimulador de colônias de macrófagos [Macrophage Colony-Stimulating Factor (MCSF)] 20ng / ml e RANKL 50ng / ml, com diferentes concentrações de resveratrol (2,5, 10 μg / ml). Durante sete dias, as células foram tratadas com MCSF (20 ng / ml) e RANKL (40 ng / ml) juntamente com éter trimetílico concentrado e resveratrol (2,5, 10 μg / ml) em 12 horas, processo que não afeta a sobrevivência celular. Após a fixação de células de osteoclastos com fixador de formaldeído em lamela de vidro seguido de incubação com 0,1% Triton X-100 em PBS por 5 min, foi realizado posteriormente o procedimento para corar com rodamina faloidina a actina e Hoechst os núcleos. A microscopia de fluorescência foi realizada para ver a distribuição dos filamentos de actina [F.actina]. Finalmente, o resveratrol reduziu a formação do anel de actina. O resveratrol é o melhor composto bioativo para o preparo de medicamentos contra a perda óssea.

Structural Analysis of Recombinant Human Preproinsulins by Structure Prediction, Molecular Dynamics, and Protein-Protein Docking

More effective production of human insulin is important, because insulin is the main medication that is used to treat multiple types of diabetes and because many people are suffering from diabetes. The current system of insulin production is based on recombinant DNA technology, and the expression vector is composed of a preproinsulin sequence that is a fused form of an artificial leader peptide and the native proinsulin. It has been reported that the sequence of the leader peptide affects the production of insulin. To analyze how the leader peptide affects the maturation of insulin structurally, we adapted several in silico simulations using 13 artificial proinsulin sequences. Three-dimensional structures of models were predicted and compared. Although their sequences had few differences, the predicted structures were somewhat different. The structures were refined by molecular dynamics simulation, and the energy of each model was estimated. Then, protein-protein docking between the models and trypsin was carried out to compare how efficiently the protease could access the cleavage sites of the proinsulin models. The results showed some concordance with experimental results that have been reported; so, we expect our analysis will be used to predict the optimized sequence of artificial proinsulin for more effective production.

Estudio y análisis comparativo de interacciones entre la proteina integrina con fragmentos de la proteína fibrilina-1 y fragmentos mutados de esta utilizando la metodología de docking molecular / Study and comparative analysis of interactions protein between the integrina with fragments fibrillin-1 and mutated fragments of this by using molecular docking

Resumen Objetivo: Evaluar las interacciones proteína-proteína que pueden generarse entre fragmentos de la proteína fibrilina-1, cuyas mutaciones causan el síndrome de Marfan (SM). Materiales y métodos: Se realizó una serie de cálculos docking proteína-proteína entre las macromoléculas de interés; se empleó el programa Molsoft ICM; se utilizaron las estructuras cristalinas de la proteína integrina αVβ3 y los fragmentos de la proteína fibrilina-1; además se generó una sucesión de mutaciones en la fibrilina-1, las cuales son características de pacientes con síndrome de Marfan, y posteriormente se realizó el acoplamiento molecular. Adicionalmente se determinó los aminoácidos que con mayor frecuencia estaban presentes en el sitio de interacción y su hidrofobicidad. Resultados: Se cuantificó la cantidad de aminoácidos hidrófobos presentes en las zonas de interacción producidas por los acoplamientos, teniendo en cuenta la energía del sistema; esta ponderación estuvo entre el 40 y 50 % de los aminoácidos de la zona de interacción, con un porcentaje mayor con respecto a aminoácidos neutros o cargados. En los resultados obtenidos utilizando las mutaciones realizadas sobre los fragmentos cbEGF22-TB4-cbEGF23 y cbEGF9-hyb2-cbEGF10 de la fibrilina-1 se encontró que no se ubicaron en zonas cercanas al sitio de interacción en la mayoría de los casos. Conclusiones: Las interacciones entre los fragmentos de fibrilina-1, y estos con respecto a la integrina, mostraron en sus zonas de interacción la presencia mayoritariamente de aminoácidos hidrofóbicos, que es lo esperado normalmente.

Abstract Objective: To assess protein-protein interactions between fragments of fibrillin-1 protein, whose mutations cause Marfan syndrome (MS). Materials and Methods: We performed a series of protein-protein docking calculations between the macromolecules of interest for this purpose was used Molsoft ICM program. We used the crystal structures of αVβ3 Integrin protein and fragments of fibrillin-1 protein also were generated mutations in the fibrillin-1, which are characteristic in patients with Marfan syndrome and subsequently to the molecular docking. We determined the amino acids most often present at the site of interaction and its hydrophobicity. Results: The amount of hydrophobic amino acids present in the areas of interaction given by the couplings was quantified. Given the energy of the system, was between 40 and 50% of the amino acids of the interaction zone, with a higher proportion relative to charged or neutral amino acids. In the results obtained using the mutations performed on fragments cbEGF23 cbEGF22-TB4-and-cbEGF10 cbEGF9-HYB2 of fibrillin-1, was found they were not placed in areas near the site of interaction in most cases. Conclusion: The interaction between fragments of fibrillin-1, and those with respect to their integrin showed the presence interaction zones mostly hydrophobic amino acids, which are normally expected.

3D Structure Modeling of Human Telomere Repeat Binding Factor 2 and DNA-Protein Docking Studies.

Aims: Human telomere repeat binding factor (hTRF2) is a double stranded telomere binding protein that plays key role in protecting the chromosome ends and a necessary building block of telomere structure maintenance. The aim of the present study was to focus on the modeling of 3D structure of hTRF2 (500 residues long) and its interaction studies with DNA in silico. Study Design: The overall work was designed in different steps starting with the modeling of the concerned protein, its physiochemical properties study, modeling of 3DDNA with specific length and varying bend angle, docking studies of modeled DNA and hTRF2 protein. Place and Duration of Study: Bioinformatics Lab, Department of Biotechnology, Birla Institute of Technology, Mesra, India. November 2012- July 2013. Methodology: 3D structure of hTRF2 was modeled through I-TASSER method. The modeled structure was verified by 5ns of simulation run in solvent (water) condition and also evaluated with different bioinformatics tools. Physiochemical properties were calculated through CLC Protein Workbench. DNA 3D structure was modeled with the conserved nucleotide sequence motif, TTAGGG with varying bend angles of 0° to 60°. The DNA-protein docking studies were carried out through HADDOCK easy interface for each bend angle. Results: The best model was selected depending on minimum RMSD value and C-Score and the Stereochemical quality of that model was verified with different tools, as the Molprobity score (>1) of hTRF2 was predicted 4.2 and Ramachandra favored residue was 80.56%. The selected model protein and DNA structure was docked and among all the docking results the best orientation of DNA and hTRF2 was at 60° DNA bend angle with lowest RMSD and maximum Z-value. The amino acids which are directly involved in the interaction were also selected. Conclusion: In future further study will be planned with further bend angle for getting better information on DNA-protein interactions. In silico studies will also be helpful for the researchers to study the complex structure in vitro.

What in silico molecular docking can do for the ‘bench-working biologists’.

Required by an increasing amount of scientists, the in silico docking field is in full expansion, new algorithms and methods appearing at an exponential rate. The sheer range of available programs is overwhelming for the benchworking biologist, which is often discouraging by the lack of a graphical user interface, good user manual or literature to validate a given program. This mini-review attempts to present the docking problem and available solutions from a non-bioinformatician point of view and makes a selection of the available servers and programs. These tools are evaluated from several points of view, as numbers of citations, ease of usage and computer requirements. Finally, the capabilities and limitations as well as specific applications of in silico docking techniques are presented.

Progress in Protein-protein Docking Approaches / 生物化学与生物物理进展

Protein-protein interactions and recognition are the focal and hot themes of the life science field in the 21st century. Molecular docking approach is the effective computer modeling technology in the study of this topic. Generally, the protein-protein docking procedure is composed of four stages: searching of the binding modes of the receptor and the ligand, filtering of docked modes to eliminate the irrational docked structures, optimizing the structures, evaluating the docked modes with the refined scoring function and ranking them to obtain the near-native structures. Combining the research group's works, in terms of the international and national progress of protein-protein docking approaches, the detailed review was made about the four stages mentioned above. Additionally, the existing major questions are analyzed and the prospects of the future study are made.