Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

The relationship between target-class and the physicochemical properties of antibacterial drugs

27 Apr 2015

Abstract excerpt

The discovery of novel mechanism of action (MOA) antibacterials has been associated with the concept that antibacterial drugs occupy a differentiated region of physicochemical space compared to human-targeted drugs. With, in broad terms, antibacterials having higher molecular weight, lower logP and higher polar surface area (PSA). By analysing the physicochemical properties of about 1700 approved drugs listed in...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computational Drug Discovery Methods
Share to Microbial Natural Products and Biosynthesis
Share to RNA and protein synthesis mechanisms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Source

Identifiers

PMID: 25975639
DOI: 10.1016/j.bmc.2015.04.063

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

The relationship between target-class and the physicochemical properties of antibacterial drugsPMID 25975639Read ↗

A comprehensive map of molecular drug targets.Semantic proximity Read ↗

Physicochemical Principles Driving Small Molecule Binding to RNASemantic proximity Read ↗

Bridging the gap between target-based and phenotypic-based drug discovery.Semantic proximity Read ↗

DRLiPS: a novel method for prediction of druggable RNA-small molecule binding pockets using machine learningSemantic proximity Read ↗

From drugs to targets: Reverse engineering the virtual screening process on a proteomic scaleSemantic proximity Read ↗

Structural systems pharmacology: a new frontier in discovering novel drug targets.Semantic proximity Read ↗

Overview of antibacterial target selection.Semantic proximity Read ↗

The chemical hunt for the identification of drugable targets.Semantic proximity Read ↗

Interaction of antibacterial compounds with RND eﬄux pumps in Pseudomonas aeruginosaSemantic proximity Read ↗

Computational analyses of small molecules activity from phenotypic screensSemantic proximity Read ↗

Structural Pockets and Interacting RNA-Associated Ligands (SPIRAL): A DSSR-enabled Meta-Analysis of RNA-Small Molecule RecognitionSemantic proximity Read ↗

Systems-level antimicrobial drug and drug synergy discovery.Semantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.