Literature DB >> 34364818

Artificial Intelligence and the Future of Diagnostic and Therapeutic Radiopharmaceutical Development:: In Silico Smart Molecular Design.

Bahar Ataeinia1, Pedram Heidari2.   

Abstract

Novel diagnostic and therapeutic radiopharmaceuticals are increasingly becoming a central part of personalized medicine. Continued innovation in the development of new radiopharmaceuticals is key to sustained growth and advancement of precision medicine. Artificial intelligence has been used in multiple fields of medicine to develop and validate better tools for patient diagnosis and therapy, including in radiopharmaceutical design. In this review, we first discuss common in silico approaches and focus on their usefulness and challenges in radiopharmaceutical development. Next, we discuss the practical applications of in silico modeling in design of radiopharmaceuticals in various diseases.
Copyright © 2021 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial intelligence; Computer-aided drug design; In silico; Positron emission tomography; Radiopharmaceuticals

Mesh：

Substances：

Year:  2021        PMID： 34364818      PMCID： PMC8453048          DOI： 10.1016/j.cpet.2021.06.008

Source DB:  PubMed          Journal:  PET Clin        ISSN： 1556-8598


  77 in total

Review 1.  Integrated approach to structure-based enzymatic drug design: molecular modeling, spectroscopy, and experimental bioactivity.

Authors:  Bahareh Honarparvar; Thavendran Govender; Glenn E M Maguire; Mahmoud E S Soliman; Hendrik G Kruger
Journal:  Chem Rev       Date:  2013-09-11       Impact factor: 60.622

Review 2.  Homology modeling in drug discovery: Overview, current applications, and future perspectives.

Authors:  Muhammed Tilahun Muhammed; Esin Aki-Yalcin
Journal:  Chem Biol Drug Des       Date:  2018-10-08       Impact factor: 2.817

3.  Crystal structure of prostate-specific membrane antigen, a tumor marker and peptidase.

Authors:  Mindy I Davis; Melanie J Bennett; Leonard M Thomas; Pamela J Bjorkman
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-18       Impact factor: 11.205

Review 4.  Design and Challenges of Radiopharmaceuticals.

Authors:  Koen Vermeulen; Mathilde Vandamme; Guy Bormans; Frederik Cleeren
Journal:  Semin Nucl Med       Date:  2019-07-20       Impact factor: 4.446

5.  Rational design of some substituted phenyl azanediyl (bis) methylene phosphonic acid derivatives as potential anticancer agents and imaging probes: Computational inputs, chemical synthesis, radiolabeling, biodistribution and gamma scintigraphy.

Authors:  Mohammed A Khedr; Hassan M Rashed; Hamed Farag; Tamer M Sakr
Journal:  Bioorg Chem       Date:  2019-09-12       Impact factor: 5.275

6.  64Cu-labeled somatostatin analogues conjugated with cross-bridged phosphonate-based chelators via strain-promoted click chemistry for PET imaging: in silico through in vivo studies.

Authors:  Zhengxin Cai; Qin Ouyang; Dexing Zeng; Kim N Nguyen; Jalpa Modi; Lirong Wang; Alexander G White; Buck E Rogers; Xiang-Qun Xie; Carolyn J Anderson
Journal:  J Med Chem       Date:  2014-07-11       Impact factor: 7.446

Review 7.  Methods to Enhance the Metabolic Stability of Peptide-Based PET Radiopharmaceuticals.

Authors:  Brendan J Evans; Andrew T King; Andrew Katsifis; Lidia Matesic; Joanne F Jamie
Journal:  Molecules       Date:  2020-05-14       Impact factor: 4.411

8.  Imaging Bacteria with Radiolabelled Probes: Is It Feasible?

Authors:  Alberto Signore; Vera Artiko; Martina Conserva; Guillermina Ferro-Flores; Mick M Welling; Sanjay K Jain; Søren Hess; Mike Sathekge
Journal:  J Clin Med       Date:  2020-07-25       Impact factor: 4.241

Review 9.  Computational approaches in target identification and drug discovery.

Authors:  Theodora Katsila; Georgios A Spyroulias; George P Patrinos; Minos-Timotheos Matsoukas
Journal:  Comput Struct Biotechnol J       Date:  2016-05-07       Impact factor: 7.271

Review 10.  In Vivo PET Imaging of Adenosine 2A Receptors in Neuroinflammatory and Neurodegenerative Disease.

Authors:  Anna Vuorimaa; Eero Rissanen; Laura Airas
Journal:  Contrast Media Mol Imaging       Date:  2017-11-20       Impact factor: 3.161
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  3 in total

Review 1.  Application of artificial intelligence in nuclear medicine and molecular imaging: a review of current status and future perspectives for clinical translation.

Authors:  Dimitris Visvikis; Philippe Lambin; Kim Beuschau Mauridsen; Roland Hustinx; Michael Lassmann; Christoph Rischpler; Kuangyu Shi; Jan Pruim
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-07-09       Impact factor: 9.236

Review 2.  Artificial Intelligence in Medical Imaging and its Impact on the Rare Disease Community: Threats, Challenges and Opportunities.

Authors:  Navid Hasani; Faraz Farhadi; Michael A Morris; Moozhan Nikpanah; Arman Rhamim; Yanji Xu; Anne Pariser; Michael T Collins; Ronald M Summers; Elizabeth Jones; Eliot Siegel; Babak Saboury
Journal:  PET Clin       Date:  2022-01

Review 3.  Hydroxypyridinones as a Very Promising Platform for Targeted Diagnostic and Therapeutic Radiopharmaceuticals.

Authors:  Xu Zhou; Linlin Dong; Langtao Shen
Journal:  Molecules       Date:  2021-11-19       Impact factor: 4.411
  3 in total

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