molecular modeling docking techniques (10 résultats)

Etat : New.

Taschenbuch. Etat : Neu. Molecular modeling study of pyrrolidine derivatives | A Comprehensive Exploration through 3D-QSAR, Molecular Docking, ADME/Tox, and MD Simulation Techniques | Kamal Tabti (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206180470 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.

Etat : New. In.

Taschenbuch. Etat : Neu. Neuware - In the realm of pharmaceutical research, the challenge of efficiently discovering and designing new drugs to combat diseases is ever-present. Traditional approaches to drug discovery often rely on time-consuming and costly experimental methods, leading to lengthy development timelines and high failure rates. This problem is exacerbated by the complexity of molecular interactions and the vast chemical space to explore. As a result, there is a pressing need for innovative solutions that can streamline the drug discovery process and improve its success rate. Molecular Modeling and Docking Techniques for Drug Discovery and Design addresses this critical challenge by offering a comprehensive guide to advanced computational methods in pharmaceutical research. Edited by leading experts in the field, the book provides insights into molecular modeling, docking, and other computational approaches that can significantly accelerate the drug discovery process. By leveraging computational tools and software, researchers can simulate molecular interactions, predict drug efficacy, and optimize chemical structures with greater speed and accuracy than traditional experimental methods.

Etat : New. Print on Demand.

Etat : New. PRINT ON DEMAND.

Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this study, researchers investigated the design of novel inhibitors for myeloid cell leukemia-1 (Mcl-1) using pyrrolidine derivatives. They employed three molecular modeling techniques, CoMSIA, CoMFA, and HQSAR, to generate models and analyze the inhibitory activity of Mcl-1. The models were visualized using contours and colored fragments, which provided insights into favorable and unfavorable contributions to the inhibitory activity of Mcl-1. Based on these results, the researchers designed four new compounds, which exhibited higher predicted inhibitory activity. To assess the suitability of these compounds for further development, ADME/Tox analysis and pharmacokinetic properties were evaluated. To understand the mode of interaction between the ligands and key residues in the protein binding site, molecular docking analysis was conducted. The researchers further validated their results through molecular simulations and binding free energy estimation (MMPBSA), which supported the docking results and demonstrated the stability of the compounds. Overall, these findings lay a strong foundation for the development of potent pyrrolidine-based inhibitors targeting Mcl-1.

HRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In the realm of pharmaceutical research, the challenge of efficiently discovering and designing new drugs to combat diseases is ever-present. Traditional approaches to drug discovery often rely on time-consuming and costly experimental methods, leading to lengthy development timelines and high failure rates. This problem is exacerbated by the complexity of molecular interactions and the vast chemical space to explore. As a result, there is a pressing need for innovative solutions that can streamline the drug discovery process and improve its success rate. Molecular Modeling and Docking Techniques for Drug Discovery and Design addresses this critical challenge by offering a comprehensive guide to advanced computational methods in pharmaceutical research. Edited by leading experts in the field, the book provides insights into molecular modeling, docking, and other computational approaches that can significantly accelerate the drug discovery process. By leveraging computational tools and software, researchers can simulate molecular interactions, predict drug efficacy, and optimize chemical structures with greater speed and accuracy than traditional experimental methods.