The significance of artificial intelligence in drug delivery system design

P Hassanzadeh, F Atyabi, R Dinarvand - Advanced drug delivery reviews, 2019 - Elsevier
Over the last decade, increasing interest has been attracted towards the application of
artificial intelligence (AI) technology for analyzing and interpreting the biological or genetic …

Polypharmacology: The science of multi-targeting molecules

A Kabir, A Muth - Pharmacological Research, 2022 - Elsevier
Polypharmacology is a concept where a molecule can interact with two or more targets
simultaneously. It offers many advantages as compared to the conventional single-targeting …

Polypharmacology: drug discovery for the future

AS Reddy, S Zhang - Expert review of clinical pharmacology, 2013 - Taylor & Francis
In recent years, even with remarkable scientific advancements and a significant increase of
global research and development spending, drugs are frequently withdrawn from markets …

Advances in the development of shape similarity methods and their application in drug discovery

A Kumar, KYJ Zhang - Frontiers in chemistry, 2018 - frontiersin.org
Molecular similarity is a key concept in drug discovery. It is based on the assumption that
structurally similar molecules frequently have similar properties. Assessment of similarity …

Enhancing the enrichment of pharmacophore-based target prediction for the polypharmacological profiles of drugs

X Wang, C Pan, J Gong, X Liu, H Li - Journal of Chemical …, 2016 - ACS Publications
PharmMapper is a web server for drug target identification by reversed pharmacophore
matching the query compound against an annotated pharmacophore model database …

In silico methods to address polypharmacology: current status, applications and future perspectives

A Lavecchia, C Cerchia - Drug Discovery Today, 2016 - Elsevier
Highlights•Polypharmacology and its exploitation for drug discovery is drawing increasing
interest.•Computational approaches have great potential for predicting the …

Polypharmacology browser PPB2: target prediction combining nearest neighbors with machine learning

M Awale, JL Reymond - Journal of chemical information and …, 2018 - ACS Publications
Here we report PPB2 as a target prediction tool assigning targets to a query molecule based
on ChEMBL data. PPB2 computes ligand similarities using molecular fingerprints encoding …

Advances and challenges in computational target prediction

D Sydow, L Burggraaff, A Szengel… - Journal of Chemical …, 2019 - ACS Publications
Target deconvolution is a vital initial step in preclinical drug development to determine
research focus and strategy. In this respect, computational target prediction is used to …

The polypharmacology browser: a web-based multi-fingerprint target prediction tool using ChEMBL bioactivity data

M Awale, JL Reymond - Journal of cheminformatics, 2017 - Springer
Background Several web-based tools have been reported recently which predict the
possible targets of a small molecule by similarity to compounds of known bioactivity using …

Visualization and virtual screening of the chemical universe database GDB-17

L Ruddigkeit, LC Blum, JL Reymond - Journal of chemical …, 2013 - ACS Publications
The chemical universe database GDB-17 contains 166.4 billion molecules of up to 17 atoms
of C, N, O, S, and halogens obeying rules for chemical stability, synthetic feasibility, and …