B3Pred: A Random-Forest-Based Method for Predicting and Designing Blood-Brain Barrier Penetrating Peptides
The blood-brain barrier is a major obstacle in treating brain-related disorders, as it does not allow the delivery of drugs into the brain. We developed a method for predicting blood-brain barrier penetrating peptides to facilitate drug delivery into the brain. These blood-brain barrier penetrating...
Saved in:
Main Authors: | Vinod Kumar (Author), Sumeet Patiyal (Author), Anjali Dhall (Author), Neelam Sharma (Author), Gajendra Pal Singh Raghava (Author) |
---|---|
Format: | Book |
Published: |
MDPI AG,
2021-08-01T00:00:00Z.
|
Subjects: | |
Online Access: | Connect to this object online. |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Method for Predicting Hemolytic Potency of Chemically Modified Peptides From Its Structure
by: Vinod Kumar, et al.
Published: (2020) -
AntiBP3: A Method for Predicting Antibacterial Peptides against Gram-Positive/Negative/Variable Bacteria
by: Nisha Bajiya, et al.
Published: (2024) -
Enhanced blood-brain barrier penetration and glioma therapy mediated by T7 peptide-modified low-density lipoprotein particles
by: Meng Liang, et al.
Published: (2018) -
The Cell-Penetrating Peptide Tat Facilitates Effective Internalization of PSD-95 Inhibitors Into Blood-Brain Barrier Endothelial Cells but less Efficient Permeation Across the Blood-Brain Barrier In Vitro and In Vivo
by: Emma Lisa Al Humaidan, et al.
Published: (2022) -
Conjugation of Therapeutic PSD-95 Inhibitors to the Cell-Penetrating Peptide Tat Affects Blood-Brain Barrier Adherence, Uptake, and Permeation
by: Mie Kristensen, et al.
Published: (2020)