Luces y sombras en la incorporaci??n de la Directiva de servicios

download pdf Luces y sombras en la incorporaci??n de la Directiva de servicios, دانلود Luces y sombras en la incorporaci??n de la Directiva de servicios,Mercedes Fuertes, کتاب های Mercedes Fuertes,Escuela de Administraci??n P??blica de Catalu??a 2011-01-12, لیست کتاب های Escuela de Administraci??n P??blica de Catalu??a 2011-01-12,WorldCat, کتاب های WorldCat

گت بلاگز Internet Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models / دانلود فایل

مشخصات کلی Bio-AIMS collection of chemoinformatics web tools based on molecular graph information and artificial intelligence models

نویسنده کتاب (Author):

Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A.

انتشارات (Publisher):

Bentham 2015-09-01

ویرایش و نوع فایل (Edition/Format):

 Downloadable article : English

منبع (Database):

WorldCat

عنوان ژورنال (Publication):

munteanu-cr-gonzalez-diaz-h-garcia-r-loza-m-pazos-a-bio-aims-collection-of-chemoinformatics-web-tools-based-on-molecular-graph-information-and-artificial-intelligence-models-co

موضوع (Subject):

Molecular information       QSAR models       Web tools       View all subjects      

توضیحات خلاصه (Summary):

[Abstract] The molecular information encoding into molecular descriptors is the first step into in silico Chemoinformatics methods in Drug Design. The Machine Learning methods are a complex solution to find prediction models for specific biological properties of molecules. These models connect the molecular structure information such as atom connectivity (molecular graphs) or physical-chemical properties of an atom/group of atoms to the molecular activity (Quantitative Structure – Activity Relationship, QSAR). Due to the complexity of the proteins, the prediction of their activity is a complicated task and the interpretation of the models is more difficult. The current review presents a series of 11 prediction models for proteins, implemented as free Web tools on an Artificial Intelligence Model Server in Biosciences, Bio-AIMS (http://bio-aims.udc.es/TargetPred.php). Six tools predict protein activity, two models evaluate drug – protein target interactions and the other three calculate protein – protein interactions. The input information is based on the protein 3D structure for nine models, 1D peptide amino acid sequence for three tools and drug SMILES formulas for two servers. The molecular graph descriptor-based Machine Learning models could be useful tools for in silico screening of new peptides/proteins as future drug targets for specific treatments.  Read more…

ژانر / فرم:info:eu-repo/semantics/article

موضوع:Internet resource

نوع منبع:Internet Resource, Article

تمام نویسندگان / همکاران: Munteanu, Cristian-Robert; González-Díaz, Humberto; García, Rafael; Loza, Mabel; Pazos, A.

شناسه OCLC:979265393

Language Note:English

فهرست محتوا:http://hdl.handle.net/2183/17522


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