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Antimalarial drug discovery: in silico structural biology and rational drug design
- Source :
- Infectious disorders drug targets, Infectious disorders drug targets, 2009, 9 (3), pp.304-18, Scopus-Elsevier
- Publication Year :
- 2009
- Publisher :
- HAL CCSD, 2009.
-
Abstract
- International audience; Malaria remains one of the most burdensome human infectious diseases, with a high rate of resistance outbreaks and a constant need for the discovery of novel antimalarials and drug targets. For several reasons, Plasmodial proteins are difficult to characterise structurally using traditional physical approaches. However, these problems can be partially overcome using a number of in silico approaches. This review describes the peculiarities of malaria proteins and then details various in silico strategies to select and allow descriptions of the molecular structures of drug target candidates as well as subsequent rational approaches for drug design. Chiefly, homology modelling with specific focus on unique aspects of malaria proteins including low homology, large protein size and the presence of parasite-specific inserts is addressed and alternative strategies including multiple sequence and structure-based prediction methods, sampling-based approaches that aim to reveal likely global or shared features of a Plasmodial structure and the value of molecular dynamics understanding of unique features of Plasmodial proteins are discussed. Once a detailed description of the drug target is available, in silico approaches to the specific design of an inhibitory drug thereof becomes invaluable as an economic and rational alternative to chemical library screening.
- Subjects :
- Models, Molecular
Microbiology (medical)
Drug
Plasmodium
In silico
media_common.quotation_subject
MESH: Malaria
Protozoan Proteins
malaria
review
Drug design
Computational biology
Biology
MESH: Drug Design
Bioinformatics
drug target
030308 mycology & parasitology
Chemical library
antimalarials
Structure-Activity Relationship
03 medical and health sciences
chemistry.chemical_compound
MESH: Structure-Activity Relationship
MESH: Computer Simulation
MESH: Drug Discovery
Prediction methods
Drug Discovery
Humans
Computer Simulation
[SDV.BBM]Life Sciences [q-bio]/Biochemistry, Molecular Biology
MESH: Protozoan Proteins
030304 developmental biology
Protein size
media_common
Pharmacology
0303 health sciences
MESH: Humans
Drug discovery
General Medicine
MESH: Antimalarials
3. Good health
Human parasite
Structural biology
chemistry
Drug Design
Molecular Medicine
protein
MESH: Models, Molecular
structure-activitity relationship
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Infectious disorders drug targets, Infectious disorders drug targets, 2009, 9 (3), pp.304-18, Scopus-Elsevier
- Accession number :
- edsair.doi.dedup.....dc9be3d998f07e4a1e90edafd8c856e3