Call for Chapters: Converging Pharmacy Science and Engineering in Computational Drug Discovery

Editors

Rati Tripathi, Assam Central University, India, India
Shrikant Tiwari, Galgotias University, India, India

Call for Chapters

Proposals Submission Deadline: December 24, 2023
Full Chapters Due: March 17, 2024
Submission Date: March 17, 2024

Introduction

In the dynamic and rapidly evolving landscape of pharmaceutical research, the convergence of pharmacy science and engineering stands at the forefront of ground-breaking innovation. This book project on "Converging Pharmacy Science and Engineering in Computational Drug Discovery" is a detailed exploration of the transformative synergy between these two disciplines (a multidiscipline). In this smart era of precision medicine and advanced technologies, the collaborative efforts between pharmacy scientists and engineers are reshaping the landscape of drug discovery. This book delves into the exciting realm of computational approaches, where sophisticated algorithms and modelling techniques are harnessed to expedite the identification and development of novel therapeutic compounds. This book takes our readers/researchers through a journey into the crossroads of science and engineering, where their convergence is unlocking new possibilities and revolutionizing the upcoming future of drug discovery.

Objective

This book will provide a detailed explanation to the transformative synergy between pharmacy science and engineering in the context of computational drug discovery. This book aims to unveil cutting-edge methodologies, bridge disciplinary gaps, and showcase innovative research at the intersection of these fields to future’s students, and researchers. In summary, this book inspires students/researchers towards future innovations and contribute to the ongoing evolution of pharmaceutical research in an automated, efficient and smartest way.

Target Audience

This book has a major value for pharmaceutical scientists, researchers, and engineers (including engineering background). It serves as a valuable resource for academics and students seeking an interdisciplinary understanding of the collaborative potential between pharmacy science and engineering in drug discovery. Also, professionals in pharmaceutical research and development, computational biology, and medicinal chemistry will find practical insights to enhance their approaches in finding more efficient drug discovery processes.

Recommended Topics

• Introduction to Computational Drug Discovery: An Overview • The Role of Pharmacy Science in Drug Development • Engineering Approaches in Pharmaceutical Research • Multidisciplinary Collaboration in Drug Discovery • Molecular Modeling and Simulation in Drug Design • Artificial Intelligence and Machine Learning in Drug Discovery • High-Throughput Screening Techniques • Computational Chemistry for Drug Optimization • Biopharmaceutical Innovations and Drug Delivery Systems • Structural Biology and Drug Target Identification • Drug Repurposing and Virtual Screening • Pharmacokinetics and Pharmacodynamics Modeling • Toxicity Prediction and Safety Assessment • Case Studies in Computational Drug Discovery • Regulatory Challenges and Approvals in the Digital Era • Data Management and Big Data Analytics in Drug Research • Emerging Trends and Future Directions in the Field • Ethical and Legal Considerations in Computational Drug Discovery • Industry Perspectives and Success Stories • Educational and Training Initiatives for Future Professionals in the Field • Any other related areas which is connected to book’s theme.

Submission Procedure

Researchers and practitioners are invited to submit on or before December 24, 2023, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by January 7, 2024 about the status of their proposals and sent chapter guidelines.Full chapters are expected to be submitted by March 17, 2024, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Converging Pharmacy Science and Engineering in Computational Drug Discovery. All manuscripts are accepted based on a double-blind peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.



Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), an international academic publisher of the "Information Science Reference" (formerly Idea Group Reference), "Medical Information Science Reference," "Business Science Reference," and "Engineering Science Reference" imprints. IGI Global specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2024.



Important Dates

December 24, 2023: Proposal Submission Deadline
January 7, 2024: Notification of Acceptance
March 17, 2024: Full Chapter Submission
April 28, 2024: Review Results Returned
May 26, 2024: Final Acceptance Notification
June 2, 2024: Final Chapter Submission



Inquiries

Rati Tripathi
Assam Central University, India
projects2024.itbhu@gmail.com

Shrikant Tiwari
Galgotias University, India
Shrikanttiwari15@gmail.com



Classifications


Computer Science and Information Technology; Medical, Healthcare, and Life Sciences; Science and Engineering
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