Effective treatments extend lives in the world, and significant efforts are in place to expand the use of life-saving medications in the developing world. This paper gives an overview of drug discovery process and emphasises in the area of virtual screening. Because machine learning is fast becoming a popular mechanism to support activity recognition in drug discovery process and other real-wor...

In this review, we highlight recent applications of machine learning to virtual screening, focusing on the use of supervised techniques to train statistical learning algorithms to prioritize databases of molecules as active against a particular protein target. Both ligand-based similarity searching and structure-based docking have benefited from machine learning algorithms, including naïve Baye...

dynamic cellular manufacturing systems,   mixed-integer non-linear programming,   production planning, manufacturing attributes   this paper presents a novel mixed-integer non-linear programming model for the design of a dynamic cellular manufacturing system (dcms) based on production planning (pp) decisions and several manufacturing attributes. such an integrated dcms model with an extensive c...

The production of sago starch in Papua is around 200 thousand tons per year, even though the potential 4.75 dry year. large for cannot be realized optimally due to low capacity. capacity doubtful because processing process still carried out traditionally. problems encountered can solved by applying machining technology process. application form machines will improve quality and increased throug...

in this paper, a mixed-integer linearized programming (minlp) model is presented to design a group layout (gl) of a cellular manufacturing system (cms) in a dynamic environment with considering production planning (pp) decisions. this model incorporates with an extensive coverage of important manufacturing features used in the design of cmss. there are also some features that make the presented...