Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This reference summarizes information about pharmaceuticals that can target infectious strains of coronaviruses to neutralize infections. Chapters focus on SARS-CoV-2, drug discovery methods and natural methods to combat the virus, which is a causative agent of COVID-19. Specifically, the book presents 5 chapters written by expert scholar on the following topics: Structure-Based Drug Discovery Approaches Applied to SARS-CoV-2 (the causative agent COVID- 19)Potential Antiviral Medicinal Plants against Novel SARS-CoV-2Infections Caused by SARS Coronaviruses: Main Characteristics, Targets And Inhibitors Natural Sourced Traditional Indian and Chinese Medicines to Combat COVID- 19Peptidomimetic and Peptide-Derived Agents Against 3CLpro from Coronaviruses The book contents present both conventional drug design and traditional approaches to discovering relevant drugs in an easy-to-read approach, which is supplemented by bibliographic references. It is intended as a reference for students (pharmacology, pharmacy) and researchers (virology) who are seeking information about antiviral drugs that can be used against coronaviruses.

COVID-19 (Disease) --- Drugs. --- Medicaments --- Medications --- Medicine (Drugs) --- Medicines (Drugs) --- Pharmaceuticals --- Prescription drugs --- Bioactive compounds --- Medical supplies --- Pharmacopoeias --- Chemotherapy --- Materia medica --- Pharmacology --- Pharmacy --- 2019-nCoV disease --- 2019 novel coronavirus disease --- Coronavirus disease-19 --- Coronavirus disease 2019 --- COVID-19 virus disease --- COVID19 (Disease) --- Novel coronavirus disease, 2019 --- SARS coronavirus 2 disease --- SARS-CoV-2 disease --- Coronavirus infections --- Respiratory infections

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

The first book in the newly created book series, Computer-Aided Drug Discovery and Design, focuses on the computational aspects of early drug discovery, drug target identification, and validation. It revises current classical paradigms in target and phenotypic-based drug design with still ingrained approximations and concepts and discusses the research in the new network approach concept that include kinetic selectivity and metabolic analysis. Many often-overlooked approximations and concepts in drug discovery are fully covered. Drug Target Selection and Validation includes both introductory sections and research-based sections to be of use to both students and research scientists in drug discovery, design, kinetics and metabolic analysis. Pharmaceutical scientists, pharmaceutics, drug developers, pharmacologists, biomedical researchers in computer science, medicinal chemists, and precision medicine developers benefit from the information provided. The book concludes with a chapter on chemical and structural databases.

Molecular biology --- History of human medicine --- Pharmacology. Therapy --- Clinical chemistry --- medische chemie --- farmacologie --- moleculaire biologie

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Drugs --- Pharmaceutical chemistry. --- Chemistry, Medical and pharmaceutical --- Chemistry, Pharmaceutical --- Drug chemistry --- Medical chemistry --- Medicinal chemistry --- Pharmacochemistry --- Chemistry --- Drug design --- Pharmaceutical design --- Drug development --- Design.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In Silico Chemistry and Biology: Current and Future Prospects provides a compact overview on recent advances in this highly dynamic branch of chemistry. Various methods of protein modelling and computer-assisted drug design are presented, including fragment- and ligand-based approaches. Many successful practical applications of these techniques are demonstrated. The authors also look to the future and describe the main challenges of the field.

Cheminformatics. --- Chemistry --- Bioinformatics. --- Biology --- SCIENCE / Chemistry / Computational & Molecular Modeling. --- Information science --- Computational chemistry --- Chemical informatics --- Chemiinformatics --- Chemistry informatics --- Chemoinformatics --- Computational biology --- Systems biology --- Bio-informatics --- Biological informatics --- Life sciences --- Life (Biology) --- Natural history --- Physical sciences --- Computer simulation. --- Experiments --- Data processing