Preformulation Predictions from Small Amounts of Compound as an Aid to Candidate Drug Selection

2001 ◽  
pp. 21-95 ◽  
Author(s):  
Gerry Steele
Keyword(s):  
Drug Selection ◽  
Candidate Drug

scholarly journals Biomarkers and Mechanisms of Drug-Induced Vascular Injury in Non-Rodents

2006 ◽  
Vol 34 (1) ◽  
pp. 19-26 ◽  
Author(s):  
Calvert Louden ◽  
David Brott ◽  
Anne Katein ◽  
Thomas Kelly ◽  
Sarah Gould ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Vascular Injury ◽  
Diagnostic Markers ◽  
Target Cells ◽  
Drug Selection ◽  
Primary Target ◽  
Drug Induced ◽  
Candidate Drug ◽  
Safety Studies ◽  
Preclinical Safety

In preclinical safety studies, drug-induced vascular injury can negatively impact candidate-drug selection because there are no obvious diagnostic markers for monitoring this pathology preclinically or clinically. Furthermore, our current understanding of the pathogenesis of this lesion is limited. While vasodilatation and increased shear stress appear to play a role, the exact mechanism(s) of injury to the primary target cells, smooth muscle (SMC) and endothelial cell (EC), are unknown. Evaluation of potential novel markers for clinical monitoring with a mechanistic underpinning would add value in risk assessment and risk management. This mini review focuses on the efforts and progress to identify diagnostic markers as well as understanding the mechanism of action in nonrodent drug-induced vascular injury.

scholarly journals A forwards induction approach to candidate drug selection

2011 ◽  
Vol 43 (3) ◽  
pp. 649-665 ◽  
Author(s):  
S. Qu ◽  
J. C. Gittins
Keyword(s):  
Resource Allocation ◽  
Markov Decision Processes ◽  
Optimal Allocation ◽  
Pharmaceutical Research ◽  
Decision Processes ◽  
Drug Selection ◽  
Allocation Of Resources ◽  
Stochastic Resource Allocation ◽  
Candidate Drug ◽  
Markov Decision

A forwards induction policy is a type of greedy algorithm for Markov decision processes. It is straightforward to implement and is optimal for a large class of models, especially in stochastic resource allocation. In this paper we consider a model for the optimal allocation of resources in pre-clinical pharmaceutical research. We show that although they are not always strictly optimal, forwards induction policies perform well.

A forwards induction approach to candidate drug selection

2011 ◽  
Vol 43 (03) ◽  
pp. 649-665
Author(s):  
S. Qu ◽  
J. C. Gittins
Keyword(s):  
Resource Allocation ◽  
Markov Decision Processes ◽  
Optimal Allocation ◽  
Pharmaceutical Research ◽  
Decision Processes ◽  
Drug Selection ◽  
Allocation Of Resources ◽  
Stochastic Resource Allocation ◽  
Candidate Drug ◽  
Markov Decision

A forwards induction policy is a type of greedy algorithm for Markov decision processes. It is straightforward to implement and is optimal for a large class of models, especially in stochastic resource allocation. In this paper we consider a model for the optimal allocation of resources in pre-clinical pharmaceutical research. We show that although they are not always strictly optimal, forwards induction policies perform well.

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