There is a compelling need for new drugs and efficient treatments against mosquito-borne diseases. Environmentally safe, but effective insecticides that address the problems of resistance are required. Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases explains how the search for new substances effective against mosquitoes and their diseases has benefited from the use of in silico techniques. QSAR modeling is suited to identify the key structural features and/or physicochemical properties explaining an activity and to propose candidate molecules for further evaluation by laboratory tests. Homology modeling is useful to approximate the 3D structure of proteins of interest. Pharmacophore modeling is a powerful means to capture the chemical features responsible for an activity and to identify new potentially active compounds via the virtual screening of databases. Fugacity modeling and a wealth of other modeling paradigms are useful for risk assessment in vector borne disease control.

There is a compelling need for new drugs and efficient treatments against mosquito-borne diseases. Environmentally safe, but effective insecticides that address the problems of resistance are required. Computational Design of Chemicals for the Control of Mosquitoes and Their Diseases explains how the search for new substances effective against mosquitoes and their diseases has benefited from the use of in silico techniques. QSAR modeling is suited to identify the key structural features and/or physicochemical properties explaining an activity and to propose candidate molecules for further evaluation by laboratory tests. Homology modeling is useful to approximate the 3D structure of proteins of interest. Pharmacophore modeling is a powerful means to capture the chemical features responsible for an activity and to identify new potentially active compounds via the virtual screening of databases. Fugacity modeling and a wealth of other modeling paradigms are useful for risk assessment in vector borne disease control.

Big Data Analytics in Chemoinformatics and Bioinformatics: With Applications to Computer-Aided Drug Design, Cancer Biology, Emerging Pathogens and Computational Toxicology provides an up-to-date presentation of big data analytics methods and their applications in diverse fields. The proper management of big data for decision-making in scientific and social issues is of paramount importance. This book gives researchers the tools they need to solve big data problems in these fields. It begins with a section on general topics that all readers will find useful and continues with specific sections covering a range of interdisciplinary applications. Here, an international team of leading experts review their respective fields and present their latest research findings, with case studies used throughout to analyze and present key information. - Brings together the current knowledge on the most important aspects of big data, including analysis using deep learning and fuzzy logic, transparency and data protection, disparate data analytics, and scalability of the big data domain - Covers many applications of big data analysis in diverse fields such as chemistry, chemoinformatics, bioinformatics, computer-assisted drug/vaccine design, characterization of emerging pathogens, and environmental protection - Highlights the considerable benefits offered by big data analytics to science, in biomedical fields and in industry

Malaria continues to affect a large population of the world, especially in third world countries. The spread of drug-resistant parasites demonstrates the need for antimalarial agents with various modes of action. The search for remedies derived from medicinal plants for the treatment of malaria is reliant on accurate ethnobotanical and ethnopharmacological information obtained from traditional medical practitioners. Antimalarial Medicinal Plants provides information on bioactive compounds and therapeutic potentials of several antimalarial plant species found around the globe. This book evaluates these plant species with respect to their biology, diversity, distribution, and pharmacological values. A volume in the Exploring Medicinal Plants series, this book highlights trends, technologies, processes, and services important to and necessary for efficient production, use, and understanding of medicinal qualities of antimalarial plants. It critically examines claims made by traditional medical practitioners with scientific validations for safe herbal drug formulation. It is a reference work for researchers of herbal medicine, traditional healers, pharmacists, and students associated with plant sciences and economic botany.

March 18-20, 2019 Edinburgh, Scotland Bio-Pharmaceutics,Pharmaceutical Chemistry,Drug Targeting and Design,Pharmacokinetics and Pharmacodynamics in Drugs,Pharmaceutical Formulation,Pharmaceutical Manufacturing,Pharmaceutical Nanotechnology,Novel Drug Delivery Systems,Smart Drug Delivery Systems,Nanomedicine and Biomedical Applications,Biomaterials in Drug Delivery,Vaccine Drug Delivery Systems,Medical Devices for Drug Delivery,Biologics & Biosimilars,Pharmaceutical Analysis,Pharmaceutical Process Validation,Pharmaceutical Packaging,Clinical Trials and Clinical Research,Pharmacogenetics and Genomics,Regulatory Affairs and Intellectual Property Rights,Industrial and Physical Pharmacy,Clinical and Hospital Pharmacy,Pharmacovigilance and Drug Safety,Pharmacy Education and Practice,

Matrix metalloproteinases (MMPs) have been established as promising biomolecular targets for novel drug design and discovery against numerous major disease conditions including various cancers, cardiovascular, neurodegenerative, inflammatory diseases, and more. This book covers various modern molecular modeling methodologies particularly related to MMP inhibitors. Included in the text are descriptions of ligand-based drug designing and structure-based drug designing modeling strategies for designing potential and target specific or selective MMPIs. This book will benefit those who are looking for an in-depth text on the design and discovery processes of novel and selective MMPIs. Features Describes modeling strategies applied to MMPs Elaborates on the designing strategies of MMPs specifically Includes in-depth analyses of related case studies Acts as a guide for medicinal chemists, not only from pharmaceutical industries, but also from academia Covers various modern molecular modeling methodologies, particularly related to MMPIs