Katherine Seley-Radtke – författare

Annual Reports in Medicinal Chemistry: Roadmaps, Volume 62 highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. This release provides a compendium of information on newly approved drugs and compounds entering late-stage clinical trials, making it a valuable resource for graduate students pursuing research in medicinal chemistry

Reviews on hot topics of interest in small molecule drug discovery heavily pursued by industrial research organizationsProvides preclinical information in the context of chemical structuresIncludes section editors who are highly knowledgeable and who can evaluate invited reviews for scientific rigor

Machine Learning in Drug Development: Part One, Volume 64 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field. Chapters in this release include Artificial Intelligence in Small Molecule and Nucleic Acid Research: A Review, AI-aided Drug Development for Protein Degraders: Design, Lead Identification, and Optimization, AI-aided Drug Development for Protein Degraders: Biology Validation, Disease-association, Drug Repurposing, Transforming Modern Drug Discovery with Machine Learning, Artificial Intelligence in the Development of Antiviral Drugs: Progress and Applications, Artificial Intelligence for Drug Target Identification, and Machine Learning in Proteomic Biomarker Discovery.

Provides the authority and expertise of leading contributors from an international board of authorsPresents the latest release in Annual Reports on Medicinal Chemistry seriesUpdated release includes the latest information in the field

Machine Learning in Drug Development: Part Two, Volume 65 in the Annual Reports on Medicinal Chemistry series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors. Chapters in this volume explore Transforming Modern Drug Discovery with Machine Learning - Applications in Ligand-based Drug Design, Optimizing Multi-Modal Drug Design Through Computational Pocket Mapping and Data Integration, Harnessing AI for Nucleic Acid Drug Discovery: Small Molecule Targeting DNA and RNA, AI-aided Drug Development for Protein Degraders: Design, Lead Identification, and Optimization, and more.Additional section delve into Artificial Intelligence in the Development of Antiviral Drugs - Progress and Applications, Artificial Intelligence for Drug Target Identification, and Machine Learning in Proteomic Biomarker Discovery

Provides the authority and expertise of leading contributors from an international board of authorsPresents the latest release in the Annual Reports on Medicinal Chemistry seriesIncludes the latest information in the field

Annual Reports in Medicinal Chemistry Volume 66 provides timely and critical reviews of important topics in medicinal chemistry, with an emphasis on emerging topics in the biological sciences that are expected to provide the basis for entirely new future therapies. Focus in this new release is on The anti-inflammatory and immunological properties of GLP-1R and How to reduce side effects of GLP-1 based obesity medications.Contains contributions from leading authorities on the topics coveredInforms and updates on all the latest developments in the field of medicinal chemistryDelves into the use of GLP-1s and side effect reduction