Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Targeted Cancer Therapies02:57

Targeted Cancer Therapies

9.1K
The targeted cancer therapies, also known as “molecular targeted therapies,” take advantage of the molecular and genetic differences between the cancer cells and the normal cells. It needs a thorough understanding of the cancer cells to develop drugs that can target specific molecular aspects that drive the growth, progression, and spread of cancer cells without affecting the growth and survival of other normal cells in the body.
There are several types of targeted therapies against...
9.1K
Targeted Cancer Therapies02:57

Targeted Cancer Therapies

1.8K
1.8K
Drug Discovery: Overview01:26

Drug Discovery: Overview

13.2K
Drug discovery is a multifaceted process involving extensive screening, testing, and optimization of lead compounds to identify potential new drugs for therapeutic use. It combines several approaches, including screening large numbers of natural products, chemical modification of known active molecules, identification of new drug targets, and rational design based on biological mechanisms and drug-receptor structure. These approaches are carried out in both academic research laboratories and...
13.2K
Targets for Drug Action: Overview01:26

Targets for Drug Action: Overview

11.3K
Drugs target macromolecules to modify ongoing cellular processes. Primary drug targets include receptors, ion channels, transporters, and enzymes.
Receptors are either membrane-spanning or intracellular proteins, which upon binding a ligand, get activated and transmit the signal downstream to elicit a response. Drugs bind receptors, either mimicking the action of endogenous ligands or blocking the receptor activity to bring about a modified response. Nearly 35% of approved drugs target the G...
11.3K
Pharmacogenomics: Identification of New Drug Targets01:29

Pharmacogenomics: Identification of New Drug Targets

76
Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
76
Modified-Release Drug Delivery Systems: Site-Targeted01:24

Modified-Release Drug Delivery Systems: Site-Targeted

96
Site-targeted drug delivery systems enhance therapeutic efficacy while minimizing systemic toxicity and treatment costs. Unlike conventional methods, these systems ensure precise drug delivery, improving bioavailability and reducing side effects. Targeted drug delivery is classified into three levels. First-order targeting directs drugs to the capillary beds of specific organs or tissues. Second-order targets specific cell types, such as tumor cells, using receptor-mediated interactions.
96

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

CSN3 promotes gastric cancer progression and is associated with immune infiltration and inflammatory signaling.

Translational cancer research·2026
Same author

How Does Fertility Stress Influence Depressive Symptoms in Female Partners of Infertile Couples in China? A Parallel Mediation Analysis of Infertility Stigma and Family Function.

Depression and anxiety·2026
Same author

Characterization, Distribution and Fungicide Efficacy of <i>Fusarium equiseti</i> Causing Soybean Root Rot in Northeast China.

Plants (Basel, Switzerland)·2026
Same author

SPOP-mediated nuclear ubiquitination degradation of p62/SQSTM1 contributes to HR repair.

Oncogene·2026
Same author

Review on biological active metabolites of Astragali radix and its mechanisms in treating allergic respiratory diseases.

Frontiers in pharmacology·2026
Same author

Augmenting clinical decision-making with large language models: evaluation across general and specialty tasks.

Journal of the American Medical Informatics Association : JAMIA·2026

Related Experiment Video

Updated: Mar 29, 2026

Author Spotlight: Exploring the Role of Ion Channels in Cancer: Characterization and Potential Treatment Approaches
06:19

Author Spotlight: Exploring the Role of Ion Channels in Cancer: Characterization and Potential Treatment Approaches

Published on: June 16, 2023

4.0K

AI-Driven Drug Discovery: Focus on Targets for Solid Tumors.

Jialong Wu1, Jide He1, Qianyang Ni1

  • 1Department of Urology, Peking University Third Hospital, Beijing 100191, China.

Pharmaceutics
|March 28, 2026
PubMed
Summary

Artificial intelligence (AI) revolutionizes anti-tumor drug discovery by overcoming challenges in solid tumors. Large language models (LLMs) enhance target identification through multi-omics data analysis for precision oncology.

Keywords:
artificial intelligencelarge language modelmachine learningsolid tumortarget discovery

More Related Videos

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.9K
Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
07:48

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures

Published on: December 26, 2016

11.9K

Related Experiment Videos

Last Updated: Mar 29, 2026

Author Spotlight: Exploring the Role of Ion Channels in Cancer: Characterization and Potential Treatment Approaches
06:19

Author Spotlight: Exploring the Role of Ion Channels in Cancer: Characterization and Potential Treatment Approaches

Published on: June 16, 2023

4.0K
Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens
09:33

Author Spotlight: Finding New Therapeutic Targets for Malignant Peripheral Nerve Sheath Tumor Through Genome-Scale shRNA Screens

Published on: August 25, 2023

1.9K
Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures
07:48

Utilizing Functional Genomics Screening to Identify Potentially Novel Drug Targets in Cancer Cell Spheroid Cultures

Published on: December 26, 2016

11.9K

Area of Science:

  • Oncology
  • Pharmacology
  • Bioinformatics

Background:

  • Solid tumors present unique challenges in drug development due to genetic heterogeneity and complex tumor microenvironments.
  • Traditional target discovery methods struggle with the individualized evolutionary paths of cancers.
  • Artificial intelligence (AI) is transforming drug discovery by integrating diverse biological data.

Purpose of the Study:

  • To provide an overview of tumor biology and limitations of conventional anti-tumor drug discovery strategies.
  • To highlight recent advancements in AI, particularly large language models (LLMs), for drug discovery.
  • To focus on the current state of AI-assisted target identification in oncology.

Main Methods:

  • Review of recent literature (past three years) on AI applications in drug discovery.
  • Analysis of AI's role in integrating multi-omics data and real-world evidence.
  • Examination of challenges in multimodal data integration and AI model interpretability.

Main Results:

  • AI, including LLMs, is significantly advancing drug discovery, especially in target identification.
  • AI enables comprehensive analysis of complex biological data for personalized cancer therapies.
  • Key challenges include integrating diverse data types and ensuring AI model transparency.

Conclusions:

  • AI offers a revolutionary approach to overcoming challenges in anti-tumor drug development.
  • LLMs are pivotal in advancing AI-assisted target identification for precision oncology.
  • Future directions involve developing integrated AI systems for enhanced cancer therapeutics.