The “one drug – one target – one disease ” paradigm in drug discovery has been reconsidered during the last decade. This paradigm change was mainly caused by high attrition rates in drug approvals due to toxicity and lack of efficacy. Computational techniques play an important role in prediction and recognition of novel targets for approved drugs. We will discuss two machine learning approaches – self organizing maps and inverse distance weighting – for polypharmacological profiling of bioactive compounds, exemplified by two prospective studies [1,2]. While the recognition of occasional polypharmacologi-cal behavior is an established task, the rational design of multitarget ligands remains challenging. Dual or multi-target ligands have seve...
The dominant paradigm in drug discovery is the concept of designing maximally selective ligands to a...
A continuing challenge in modern medicine is the identification of safer and more efficacious drugs....
The clinical efficacy and safety of a drug is determined by its activity profile across many protein...
Background: Polypharmacology, defined as the modulation of multiple proteins rather than a single ta...
Background: Polypharmacology, defined as the modulation of multiple proteins rather than a single ta...
Polypharmacology, a new paradigm in drug discovery that focuses on multi-target drugs (MTDs), has po...
Over the past two decades the “one drug – one target – one disease” concept became the prevalent par...
Predicting the macromolecular targets of drug-like molecules has become everyday practice in medicin...
Introduction: Polypharmacology has emerged as an essential paradigm for modern drug discovery proces...
In drug discovery, compounds with well-defined activity against multiple targets (multitarget compou...
How to design a ligand to bind multiple targets, rather than to a single target, is the focus of thi...
The dominant paradigm in drug discovery is the concept of designing maximally selective ligands to a...
A continuing challenge in modern medicine is the identification of safer and more efficacious drugs....
The clinical efficacy and safety of a drug is determined by its activity profile across many protein...
Background: Polypharmacology, defined as the modulation of multiple proteins rather than a single ta...
Background: Polypharmacology, defined as the modulation of multiple proteins rather than a single ta...
Polypharmacology, a new paradigm in drug discovery that focuses on multi-target drugs (MTDs), has po...
Over the past two decades the “one drug – one target – one disease” concept became the prevalent par...
Predicting the macromolecular targets of drug-like molecules has become everyday practice in medicin...
Introduction: Polypharmacology has emerged as an essential paradigm for modern drug discovery proces...
In drug discovery, compounds with well-defined activity against multiple targets (multitarget compou...
How to design a ligand to bind multiple targets, rather than to a single target, is the focus of thi...
The dominant paradigm in drug discovery is the concept of designing maximally selective ligands to a...
A continuing challenge in modern medicine is the identification of safer and more efficacious drugs....
The clinical efficacy and safety of a drug is determined by its activity profile across many protein...