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

Biopharmaceutics and Pharmacokinetics: Overview01:28

Biopharmaceutics and Pharmacokinetics: Overview

3.3K
Understanding drugs, drug products, and their performance in pharmaceutical science is pivotal. Drugs, whether simple molecules or complex compounds, are designed to interact with the body's biological systems to diagnose, treat, or prevent diseases. Drug products include various delivery systems such as tablets, capsules, injections, and inhalers. The performance of these drug products is gauged by their ability to deliver the active ingredient to the desired site of action at the...
3.3K
Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems01:22

Bioavailability Enhancement: Determination and Conceptual Approaches in Overcoming Bioavailability Problems

183
Body:Bioavailability is a critical pharmacological concept that measures the extent and rate at which an active drug ingredient or therapeutic moiety enters the systemic circulation, remaining unchanged. It's a pivotal factor in determining a drug's efficacy and safety.The Biopharmaceutics Classification System (BCS) plays an essential role in drug development by categorizing drugs into four classes based on their solubility and permeability. This classification aids in understanding drug...
183
Biopharmaceutical Factors Influencing Drug Product Design: Overview01:22

Biopharmaceutical Factors Influencing Drug Product Design: Overview

233
Rational drug product design integrates knowledge of the drug’s physicochemical properties, formulation components, manufacturing techniques, and intended route of administration. Each factor influences the drug’s performance, including how it is released, absorbed, and eliminated in the body.The physicochemical properties of a drug—such as solubility, stability, and particle size—affect its compatibility with excipients and the choice of dosage form. Excipients, though...
233
Drug Biotransformation: Overview01:16

Drug Biotransformation: Overview

3.7K
Pharmaceutical substances known as xenobiotics are predominantly lipophilic and nonionized. This enables them to permeate lipid bilayers, such as cell membranes, and interact with intracellular target receptors. Lipophilic drugs have an advantage in crossing biological barriers and reaching their intended sites of action. However, lipophilic drugs often have a restricted capacity for renal expulsion or elimination from the body. When these drugs enter the kidneys and undergo glomerular...
3.7K
Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs01:21

Fundamental Mathematical Principles in Pharmacokinetics: Calculus and Graphs

3.0K
The fundamental mathematical principles, such as calculus and graphs, play crucial roles in analyzing drug movement and determining pharmacokinetic parameters. Differential calculus examines rates of change and helps to determine the dissolution rate of drugs in biofluids, as well as how drug concentrations change over time. For instance, it can help calculate the rate of elimination of a drug from the body based on its concentration-time profile.
On the other hand, integral calculus focuses on...
3.0K
Drug Discovery: Overview01:26

Drug Discovery: Overview

11.0K
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...
11.0K

You might also read

Related Articles

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

Sort by
Same author

Human-AI Cooperation in Healthcare and Rehabilitation.

Delaware journal of public health·2026
Same author

Enhanced Adverse-Event Detection and Drug-Event Relation Extraction from Clinical Notes.

medRxiv : the preprint server for health sciences·2026
Same author

A network-centric approach reveals novel pathways impacted by Prader-Willi Syndrome.

PloS one·2026
Same author

Pretraining effective T5 generative models for clinical and biomedical applications.

PloS one·2026
Same author

Ten quick tips for using the NIH Comparative Genomics Resource.

PLoS computational biology·2026
Same author

KSMoFinder-knowledge graph embedding of proteins and motifs for predicting kinases of human phosphosites.

Bioinformatics advances·2025
Same journal

Characterization of genomic diversity in bacteriophages infecting Rhodococcus.

PloS one·2026
Same journal

Effectiveness of the Responding to Experienced and Anticipated Discrimination (READ) training on reducing stigma for medical students in Tunisia.

PloS one·2026
Same journal

Cell-cell junction gene signatures as subtype-specific prognostic biomarkers in breast cancer.

PloS one·2026
Same journal

GC-MS based tentative identification of γ-sitosterol from Brassica nigra seeds and evaluation of its anticancer potential: An integrated in vitro and in silico study.

PloS one·2026
Same journal

Ad-based social media interventions increase belief accuracy and generate pro-social opinions among non-news readers.

PloS one·2026
Same journal

Negotiating knowledge: The role of network hedging in the production of high-impact science.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 17, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K

Integrating text mining and knowledge graph to enhance biopharmaceutical process optimization.

Shovan Bhowmik1, Manju Anandakrishnan2, Leah Klein3

  • 1Department of Computer and Information Sciences, University of Delaware, Newark, Delaware, United States of America.

Plos One
|January 14, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a text mining and knowledge graph framework to map cell culture conditions to therapeutic protein glycosylation. The system aids biopharmaceutical development by revealing complex relationships from scientific literature.

More Related Videos

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

5.5K

Related Experiment Videos

Last Updated: Jan 17, 2026

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports
07:35

A Knowledge Graph Approach to Elucidate the Role of Organellar Pathways in Disease via Biomedical Reports

Published on: October 13, 2023

2.1K
Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
05:47

Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems

Published on: June 13, 2025

1.3K
Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions
08:31

Biosensor-based High Throughput Biopanning and Bioinformatics Analysis Strategy for the Global Validation of Drug-protein Interactions

Published on: December 1, 2020

5.5K

Area of Science:

  • Biopharmaceutical Process Development
  • Glycosylation Profiling
  • Computational Biology

Background:

  • Consistent therapeutic protein quality requires understanding manufacturing process parameters and glycosylation.
  • Cell culture is critical, as glycoprotein structure depends on raw materials, cell genetics, and process controls.
  • Existing research on cell culture conditions and glycosylation is fragmented, hindering systematic analysis.

Purpose of the Study:

  • To develop a framework for extracting and integrating relationships between cell culture conditions and glycosylation profiles from scientific literature.
  • To enable data-driven decision-making and actionable insights for biopharmaceutical process development.
  • To overcome fragmentation in published research for a systematic understanding of bioprocess interactions.

Main Methods:

  • Developed a text-mining pipeline to extract relationships between cell culture conditions and glycosylation from literature.
  • Implemented dictionary-based standardization and ontological classification for enhanced precision.
  • Integrated extracted relationships into a knowledge graph for visualizing direct and indirect connections.

Main Results:

  • The framework achieved an 88% F1-score in relation extraction.
  • Successfully revealed hidden relationships between process parameters and glycan attributes.
  • A web-based interface allows dynamic exploration and visualization of bioprocess relationships.

Conclusions:

  • The knowledge graph technology and interpretable analytics empower researchers to optimize therapeutic glycan profiles.
  • Accelerates manufacturing process development through data-driven bioprocess optimization.
  • Represents a significant advancement in understanding and controlling glycosylation in biopharmaceutical manufacturing.