The emerging roles of artificial intelligence in cancer drug development and precision therapy

Background: The development of cancer drugs is among the most focused “bench to bedside activities” to improve human health. Because of the amount of data publicly available to cancer research, drug development for cancers has significantly benefited from big data and AI. In the meantime, challenges, like curating the data of low quality, remain to be resolved. Objective: This review focused on the recent advancements in and challenges of AI in developing cancer drugs. Method: We discussed target validation, drug repositioning, de novo design, and compounds' synthetic strategies. Results and Conclusion: AI can be applied to all stages during drug development, and some excellent reviews detailing the applications of AI in specific stages are available.

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Joint FDA, NCI Program Aims to Streamline Cancer Drug Development

PsycEXTRA Dataset ◽

10.1037/e542942006-001 ◽

2003 ◽

Keyword(s):

Drug Development ◽

Cancer Drug

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Diverse thiophenes as scaffolds in anti-cancer drug development: A concise review

Mini-Reviews in Medicinal Chemistry ◽

10.2174/1389557520666201202113333 ◽

2020 ◽

Vol 20 ◽

Author(s):

Neha V. Bhilare ◽

Pratibha B. Auti ◽

Vinayak S. Marulkar ◽

Vilas J. Pise

Keyword(s):

Drug Development ◽

Anticancer Agents ◽

Heterocyclic Ring ◽

Biologically Active Compounds ◽

Biologically Active ◽

Cancer Drug ◽

Active Compounds ◽

Natural Origin ◽

Concise Review ◽

Anti Cancer

: Thiophenes are one among the abundantly found heterocyclic ring systems in many biologically active compounds. Moreover various substituted thiophenes exert numerous pharmacological actions on account of their isosteric resemblance with compounds of natural origin thus rendering them with diverse actions like antibacterial, antifungal, antiviral, anti-inflammatory, analgesic, antiallergic, hypotensives etc.. In this review we specifically explore the chemotherapeutic potential of variety of structures consisting of thiophene scaffolds as prospective anticancer agents.

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Targeting heat shock protein 90 for anti-cancer drug development

10.1016/bs.acr.2021.03.006 ◽

2021 ◽

Author(s):

Anthony Aswad ◽

Tuoen Liu

Keyword(s):

Heat Shock ◽

Drug Development ◽

Heat Shock Protein ◽

Heat Shock Protein 90 ◽

Cancer Drug ◽

Anti Cancer

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Prevascularized, Co-Culture Model for Breast Cancer Drug Development

ASME 2012 Summer Bioengineering Conference, Parts A and B ◽

10.1115/sbc2012-80409 ◽

2012 ◽

Author(s):

Lauren Marshall ◽

Isabel Löwstedt ◽

Paul Gatenholm ◽

Joel Berry

Keyword(s):

Breast Cancer ◽

Drug Development ◽

Three Dimensional ◽

Human Tumor ◽

3D Models ◽

Cancer Drug ◽

Cancer Therapies ◽

Anti Cancer

The objective of this study was to create 3D engineered tissue models to accelerate identification of safe and efficacious breast cancer drug therapies. It is expected that this platform will dramatically reduce the time and costs associated with development and regulatory approval of anti-cancer therapies, currently a multi-billion dollar endeavor [1]. Existing two-dimensional (2D) in vitro and in vivo animal studies required for identification of effective cancer therapies account for much of the high costs of anti-cancer medications and health insurance premiums borne by patients, many of whom cannot afford it. An emerging paradigm in pharmaceutical drug development is the use of three-dimensional (3D) cell/biomaterial models that will accurately screen novel therapeutic compounds, repurpose existing compounds and terminate ineffective ones. In particular, identification of effective chemotherapies for breast cancer are anticipated to occur more quickly in 3D in vitro models than 2D in vitro environments and in vivo animal models, neither of which accurately mimic natural human tumor environments [2]. Moreover, these 3D models can be multi-cellular and designed with extracellular matrix (ECM) function and mechanical properties similar to that of natural in vivo cancer environments [3].

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