AIMC Topic: Drug Delivery Systems

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GeneralizedDTA: combining pre-training and multi-task learning to predict drug-target binding affinity for unknown drug discovery.

BMC bioinformatics
BACKGROUND: Accurately predicting drug-target binding affinity (DTA) in silico plays an important role in drug discovery. Most of the computational methods developed for predicting DTA use machine learning models, especially deep neural networks, and...

On-demand anchoring of wireless soft miniature robots on soft surfaces.

Proceedings of the National Academy of Sciences of the United States of America
Untethered soft miniature robots capable of accessing hard-to-reach regions can enable new, disruptive, and minimally invasive medical procedures. However, once the control input is removed, these robots easily move from their target location because...

Nanobots-based advancement in targeted drug delivery and imaging: An update.

Journal of controlled release : official journal of the Controlled Release Society
Manipulation and targeted navigation of nanobots in complex biological conditions can be achieved by chemical reactions, by applying external forces, and via motile cells. Several studies have applied fuel-based and fuel-free propulsion mechanisms fo...

Machine Learning-Enabled Prediction of 3D-Printed Microneedle Features.

Biosensors
Microneedles (MNs) introduced a novel injection alternative to conventional needles, offering a decreased administration pain and phobia along with more efficient transdermal and intradermal drug delivery/sample collecting. 3D printing methods have e...

How physical techniques improve the transdermal permeation of therapeutics: A review.

Medicine
BACKGROUND: Transdermal delivery is very important in pharmaceutics. However, the barrier function of the stratum corneum hinders drugs absorption. How to improve transdermal delivery efficiency is a hot topic. The key advantages of physical technolo...

Formulation design and optimization of cationic-charged liposomes of brimonidine tartrate for effective ocular drug delivery by design of experiment (DoE) approach.

Drug development and industrial pharmacy
OBJECTIVE: The present study was aimed to design and optimize brimonidine tartrate (BRT) loaded cationic-charged liposome formulation with enhanced trans-corneal drug permeation, prolonged corneal residence, and sustained drug release for effective o...

Advances in Designer DNA Nanorobots Enabling Programmable Functions.

Chembiochem : a European journal of chemical biology
The advent of DNA nanotechnology has paved the way for the development of nanoscale robotics capable of executing smart and sophisticated tasks in a programmed and automatic manner. The programmability and customizable functionality of designer DNA n...

SSGraphCPI: A Novel Model for Predicting Compound-Protein Interactions Based on Deep Learning.

International journal of molecular sciences
Identifying compound-protein (drug-target, DTI) interactions (CPI) accurately is a key step in drug discovery. Including virtual screening and drug reuse, it can significantly reduce the time it takes to identify drug candidates and provide patients ...

Yuel: Improving the Generalizability of Structure-Free Compound-Protein Interaction Prediction.

Journal of chemical information and modeling
Predicting binding affinities between small molecules and the protein target is at the core of computational drug screening and drug target identification. Deep learning-based approaches have recently been adapted to predict binding affinities and th...

Light-driven carbon nitride microswimmers with propulsion in biological and ionic media and responsive on-demand drug delivery.

Science robotics
We propose two-dimensional poly(heptazine imide) (PHI) carbon nitride microparticles as light-driven microswimmers in various ionic and biological media. Their high-speed (15 to 23 micrometer per second; 9.5 ± 5.4 body lengths per second) swimming in...