New tool useful for drug discovery validated through benchmark datasets | Zendy

Juan A. CastilloGarit | Zendy; Yoan MartínezLópez | Zendy; Yailé Caballero Mota | Zendy; Stephen J. Barigye | Zendy; Yovani MarreroPonce | Zendy; Reisel Millán Cabrera | Zendy; Julio Madera | Zendy; Efrain Chaluisa Quishpe | Zendy; Francisco Torrens | Zendy

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<strong>New tool useful for drug discovery validated through benchmark datasets</strong>

Author(s) -

Juan A. CastilloGarit,

Yoan MartínezLópez,

Yailé Caballero Mota,

Stephen J. Barigye,

Yovani MarreroPonce,

Reisel Millán Cabrera,

Julio Madera,

Efrain Chaluisa Quishpe,

Francisco Torrens

Publication year - 2018

Publication title -

proceedings of mol2net 2018, international conference on multidisciplinary sciences, 4th edition

Language(s) - English

Resource type - Conference proceedings

DOI - 10.3390/mol2net-04-05132

Subject(s) - quantitative structure–activity relationship , benchmark (surveying) , orthogonality , orthogonalization , computer science , principal component analysis , data mining , molecular descriptor , set (abstract data type) , machine learning , artificial intelligence , mathematics , algorithm , geometry , geodesy , programming language , geography

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