Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

The Blood-brain Barrier

The Blood-brain Barrier

Higher Mental Functions of Brain: Learning and Memory

Higher Mental Functions of Brain: Learning and Memory

Memory is one of the most vital higher mental functions of the brain. Memory is closely related to learning because it enables us to retain information and experiences from our past to use them in our present life. It also helps us to remember facts, events, and skills, such as riding a bike or swimming. There are two types of memory — declarative memory, which involves memorizing facts or events, and procedural memory, which enables us to remember how to do something like writing or...

Predicting Molecular Geometry

Predicting Molecular Geometry

VSEPR Theory for Determination of Electron Pair Geometries

Machines

Machines

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...

Permeability of Concrete

Permeability of Concrete

Permeability in the context of concrete refers to how easily liquids or gases can pass through the material. This quality is crucial for assessing the water-tightness and durability of concrete structures and their resistance to chemical attacks. Concrete permeability can be determined through comparative laboratory tests. These tests typically involve sealing a concrete specimen from the sides, applying water pressure to the top surface with pressure, and measuring the amount of water passing...

Machines: Problem Solving II

Machines: Problem Solving II

Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. Consider a lifting tong carrying a 100 kg load. It comprises movable sections DAF and CBG linked together with member AB.

You might also read

Related Articles

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

Sort by

Same author

Topography of Pericholecystic Adhesions as a Determinant of Operative Difficulty During Laparoscopic Cholecystectomy Using the Parkland Grading Scale: A Prospective Observational Study.

Cureus·2026

Same author

Enhanced Piezoelectric Effect in P(VDF-TrFE) through Synergistic Templating by PEDOT:PSS and Paper.

ACS applied electronic materials·2026

Same author

Comment on "Relevance of cerebral microbleeds with leaky blood brain barrier in traumatic brain injury and protective role of interferon-gamma: A cohort study".

Cerebral circulation - cognition and behavior·2026

Same author

Medicinal chemistry strategies to breach the blood-brain barrier: structural design principles for brain-targeted therapeutics.

Drug discovery today·2026

Same author

Genome wide comparative analysis of microsatellites in Bipolaris sorokiniana for diversity analysis and spot blotch disease diagnosis in wheat.

World journal of microbiology & biotechnology·2026

Same author

Comment on 'Improved Quality of Life in Children With Cystic Fibrosis Who Received Transmembrane Conductance Regulator Modulators'.

Acta paediatrica (Oslo, Norway : 1992)·2026

Search research articles

Related Experiment Video

Updated: Jan 20, 2026

An In Vivo Blood-brain Barrier Permeability Assay in Mice Using Fluorescently Labeled Tracers

An In Vivo Blood-brain Barrier Permeability Assay in Mice Using Fluorescently Labeled Tracers

Published on: February 26, 2018

Blood Brain Barrier Permeability Prediction Using Machine Learning Techniques: An Update.

Deeksha Saxena¹, Anju Sharma^1,2, Mohammed H Siddiqui³

¹Amity Institute of Biotechnology, Amity University Uttar Pradesh, Lucknow-226028, Uttar Pradesh, India.

Current Pharmaceutical Biotechnology

|August 22, 2019

Summary

This summary is machine-generated.

Machine learning models can predict Blood Brain Barrier (BBB) permeability, aiding drug development. This review analyzes recent advancements in these predictive models to improve drug candidate selection.

Keywords:

Blood brain barrier central nervous system machine learning model permeability prediction.

More Related Videos

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

Analyzing the Permeability of the Blood-Brain Barrier by Microbial Traversal through Microvascular Endothelial Cells

Analyzing the Permeability of the Blood-Brain Barrier by Microbial Traversal through Microvascular Endothelial Cells

Published on: February 14, 2020

Related Experiment Videos

Last Updated: Jan 20, 2026

An In Vivo Blood-brain Barrier Permeability Assay in Mice Using Fluorescently Labeled Tracers

An In Vivo Blood-brain Barrier Permeability Assay in Mice Using Fluorescently Labeled Tracers

Published on: February 26, 2018

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Predicting In Vivo Payloads Delivery using a Blood-brain Tumor-barrier in a Dish

Published on: April 16, 2019

Analyzing the Permeability of the Blood-Brain Barrier by Microbial Traversal through Microvascular Endothelial Cells

Analyzing the Permeability of the Blood-Brain Barrier by Microbial Traversal through Microvascular Endothelial Cells

Published on: February 14, 2020

Area of Science:

Neuroscience
Pharmacology
Computational Biology

Background:

The Blood Brain Barrier (BBB) regulates compound passage into the brain, crucial for neurological homeostasis.
Brain Capillary Endothelial Cells (BECs) mediate transport across the BBB via active and passive diffusion.
Predicting BBB permeability is vital for efficient drug development, reducing candidate attrition.

Purpose of the Study:

To review and analyze recently developed machine learning models for predicting Blood Brain Barrier (BBB) permeability.
To assess the progress and utility of machine learning in forecasting compound passage across the BBB.

Main Methods:

Analysis of recently developed machine learning models.
Review of studies focused on predicting BBB permeability using computational approaches.

Main Results:

Machine learning models show promise in predicting BBB permeability.
Advancements in predictive modeling can aid in early-stage drug candidate evaluation.

Conclusions:

Machine learning offers a powerful approach to predict BBB permeability.
Further review and development of these models are essential for optimizing drug discovery pipelines.