Computational Pharmaceutical Solid State Chemistry
eBook - ePub

Computational Pharmaceutical Solid State Chemistry

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eBook - ePub

Computational Pharmaceutical Solid State Chemistry

About this book

This book is the first to combine computational material science and modeling of molecular solid states for pharmaceutical industry applications. • Provides descriptive and applied state-of-the-art computational approaches and workflows to guide pharmaceutical solid state chemistry experiments and to support/troubleshoot API solid state selection
• Includes real industrial case examples related to application of modeling methods in problem solving
• Useful as a supplementary reference/text for undergraduate, graduate and postgraduate students in computational chemistry, pharmaceutical and biotech sciences, and materials science

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Yes, you can access Computational Pharmaceutical Solid State Chemistry by Yuriy A. Abramov in PDF and/or ePUB format, as well as other popular books in Ciencias físicas & Farmacología. We have over one million books available in our catalogue for you to explore.

Information

Publisher
Wiley
Year
2016
Print ISBN
9781118700747
eBook ISBN
9781119229179

1
COMPUTATIONAL PHARMACEUTICAL SOLID-STATE CHEMISTRY: AN INTRODUCTION

Yuriy A. Abramov
Pfizer Worldwide Research & Development, Groton, CT, USA

1.1 INTRODUCTION

Traditionally, pharmaceutical industry is focusing on discovery and manufacturing of small-molecule drug compounds. Pharmaceutical industry workflow is characterized by two somewhat overlapping stages—Drug Discovery and Drug Development. At the first stage, a new chemical entity (drug candidate molecule for clinical development) is being discovered and tested on animals. At the end of this stage it is important to make sure that the selected molecule passes preclinical testing such as in vivo biological activity in animal models, in vitro metabolism, pharmacokinetic profiling in animals, and animal toxicology studies. The drug candidate progresses into an early development stage to pass proof of concept (POC), which refers to early clinical studies on human divided into Phase I and Phase IIa. At this step the candidate molecule becomes an active pharmaceutical ingredient (API) of drug product and is typically formulated in a solid form. The subsequent Drug Development process is focused on drug product and process development to ensure reliable performance, manufacturing, and storage.
Along the pharmaceutical industry workflow path, a drug substance undergoes a significant physical transformation (Fig. 1.1). It starts in early Drug Discovery as a single molecule (ligand) binding to a receptor in order to activate or inhibit the receptor’s associated biochemical pathway. Then the drug molecule becomes a biologically active component of a typically solid-state (e.g., crystalline or amorphous) formulation in early Drug Development. Finally, the drug molecule acts as an API of the solid particles of the drug product at the later stages of Drug Development. This transformational pathway reflects the complex nature of the drug design workflow and dictates a diversity of experimental and especially computational methods, which are applied to support Drug Discovery and Drug Development.
Schematic illustrating physical transformation of a drug substance along the pharmaceutical industry workflow path from drug discovery (molecule) to drug development (solid and particle).
Figure 1.1 Physical transformation of a drug substance along the pharmaceutical industry workflow.
The pharmaceutical industry as a whole has faced many challenges in recent years in addition to patent expirations of blockbuster drugs. In particular, the Drug Development branch faces challenges of accelerated development under a high regulatory pressure. An ability to rationalize and guide Drug Development process has become crucial [1]. Computational chemistry methods have become deeply integrated into Drug Discovery over the past 30 years [2, 3]. However, the computational support of Drug Development has emerged only in recent years and is now tasked with the whole spectrum of Drug Development fields including drug formulation and product design, process chemistry, chemical engineering and analytical research and development. This chapter provides a high-level overview of pharmaceutical solid-state landscape and introduces a field of computational modeling in Drug Development, hereinafter called computational pharmaceutical solid-state chemistry (CPSSC).

1.2 PHARMACEUTICAL SOLID-STATE LANDSCAPE

1.2.1 Some Definitions

Approximately 70% of the drug products marketed worldwide are formulated in oral solid dosage forms [4]. The pharmaceutical solid state may be characterized by molecular arrangement displaying long-range order in all directions (crystalline), long-range order in one or two directions (liquid crystals), or only close-range order (amorphous). An overall pharmaceutical solid-state landscape is presented in Figure 1.2. The advantage of formulation of drug substances in crystalline form is dictated by more desirable manufacturing properties: superior stability, purity, and manufacturability relative to amorphous and liquid form formulations. All solid drugs can be subclassified as single- (anhydrous) and multicomponent compounds. Multicomponent substances can be crystalline solvates (including solid hydrates) [5, 6], cocrystals (or co-crystals) [7], and salts [8]. Solid solvates (also named pseudopolymorphs or solvatomorphs) represent crystal structures in which solvent molecules are integrated into the crystal lattice. Solid hydrates are the most common pharmaceutical pseudopolymorphs. Pharmaceutical cocrystals are defined as stoichiometric multicomponent crystals formed by an API (or an intermediate compound) with at least one cocrystal former (coformer), which is solid at ambient temperature. Within the family of solvates, hydrates, and cocrystals, the components are neutral. Pharmaceutical salts are multicomponent materials in which components are ionized via proton transfer and are involved in ionic interactions with each other.
Organizational chart of a typical pharmaceutical solid-state landscape with crystalline, liquid crystal, and amorphous under solid form and crystalline with single component and multi component.
Figure 1.2 A typical pharmaceutical solid-state landscape.
Different crystalline structures of one substance (single- or multicomponent) are named polymorphs [9, 10]. Polymorphism, which exists as a result of different crystal packing of rigid molecules, is called a packing polymorphism. Conformational polymorphism is a more common phenomenon for typically flexible drug-like molecules and results from crystallization of different conformers of the same molecule. At a given environmental ...

Table of contents

  1. COVER
  2. TITLE PAGE
  3. TABLE OF CONTENTS
  4. LIST OF CONTRIBUTORS
  5. PREFACE
  6. EDITOR’S BIOGRAPHY
  7. 1 COMPUTATIONAL PHARMACEUTICAL SOLID-STATE CHEMISTRY
  8. 2 NAVIGATING THE SOLID FORM LANDSCAPE WITH STRUCTURAL INFORMATICS
  9. 3 THEORETICAL HYDROGEN-BONDING ANALYSIS FOR ASSESSMENT OF PHYSICAL STABILITY OF PHARMACEUTICAL SOLID FORMS
  10. 4 IMPROVING FORCE FIELD PARAMETERS FOR SMALL-MOLECULE CONFORMATION GENERATION
  11. 5 ADVANCES IN CRYSTAL STRUCTURE PREDICTION AND APPLICATIONS TO PHARMACEUTICAL MATERIALS
  12. 6 INTEGRATING COMPUTATIONAL MATERIALS SCIENCE TOOLS IN FORM AND FORMULATION DESIGN
  13. 7 CURRENT COMPUTATIONAL APPROACHES AT ASTRAZENECA FOR SOLID-STATE AND PROPERTY PREDICTIONS
  14. 8 SYNTHONIC ENGINEERING
  15. 9 NEW DEVELOPMENTS IN PREDICTION OF SOLID-STATE SOLUBILITY AND COCRYSTALLIZATION USING COSMO-RS THEORY
  16. 10 MODELING AND PREDICTION OF SOLID SOLUBILITY BY GE MODELS
  17. 11 MOLECULAR SIMULATION METHODS TO COMPUTE INTRINSIC AQUEOUS SOLUBILITY OF CRYSTALLINE DRUG-LIKE MOLECULES
  18. 12 CALCULATION OF NMR TENSORS
  19. 13 MOLECULAR DYNAMICS SIMULATIONS OF AMORPHOUS SYSTEMS
  20. 14 NUMERICAL SIMULATIONS OF UNIT OPERATIONS IN PHARMACEUTICAL SOLID DOSE MANUFACTURING
  21. INDEX
  22. END USER LICENSE AGREEMENT