Data-Directed Drug Design
نویسندگان
چکیده
منابع مشابه
Data Mining in Drug and Therapy Design
Drug development and therapy design are typical areas where relatively large databases are often encountered. The processes of absorption, distribution, metabolism, and elimination are very complex and patterns are hard to find. Therefore, methodology, called data mining, is often needed to extract every possible information from the data. Detailed analysis of the databases can shorten drug dev...
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Inhibitors of protein-protein interactions are useful for elucidating novel biology and for manipulating biological processes for therapeutic effects. To this end, both small molecule and protein inhibitors are commonly used. The discovery of novel binders is most often accomplished by screening a diversity oriented library. However, preexisting biochemical and structural information on the tar...
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Current design practices mandate that engineering designs be evaluated based on multiple attributes, e.g., cost, power, and area. For multiattribute design problems, generation and evaluation of the Pareto optimal set guarantees the optimal design will be found, but is not practical for a large class of problems. Iterative techniques can be applied to most problems, but sacrifice optimality. In...
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For various reasons, it seems sensible to redesign or design proteins from the inside out. Past approaches in this field have involved iterations of mutagenesis and characterisation to 'evolve' designs. Increasingly, combinatorial approaches are being taken to select 'fit' sequences from libraries of variant proteins. In particular, in silico methods have been used to good effect. More recently...
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ژورنال
عنوان ژورنال: Nature Biotechnology
سال: 1991
ISSN: 1087-0156,1546-1696
DOI: 10.1038/nbt0191-19