Cheminformatics

Cheminformatics analysis methods can reduce the time and cost required for parts of the drug development process, possibly making drug development faster and more efficient in general. [4-6]. Cheminformatics in Modern Drug Discovery The amount of useful chemical and biological data is quickly growing, provided by consumers and increased access to genetic

infer a function. The training data is then used to make generalization for making predictions for the test data by introducing an inductive bias into it. Supervised learning methodology has been applied fairly successfully to Bioinformatics, Cheminformatics, Database Marketing, Information Extraction and Retrieval, Object Recognition in Computer Vision, Spam Detection, Game Playing, Speech Recognition, etc. There are many different approaches to supervised learning. Some of these are widely applicable

List and define the six main branches of chemistry ORGANIC CHEMISTRY Organic chemistry involves the study of the structure, properties, and preparation of chemical compounds that consist primarily of carbon and hydrogen. organic chemistry the study of most carbon containing compounds INORGANIC CHEMISTRY Inorganic chemistry is the study of the properties and behaviour of inorganic compounds. It covers all chemical compounds except organic compounds. Inorganic chemists study things such as crystal

The world we live in has been and always will be based around science. Almost everything we have discovered so far has been because of all the different branches of science. The science of technology and computer science has always sparked my interest, ever since I was little I loved playing video games or messing around on our family computer. Because of the abundant amount of time I was around technology I became attached to it. Then as I got older I started to wonder where it all came from

Efficient Subgraph Mining Algorithm on Big Data Sumit Rajendra Surwase (Author) dept. of Computer Engineering Sardar Patel Institute of Technology, Andheri(west) line 3-Mumbai, India sumitsurwase77@gmail.com Prof. Jyoti Ramteke (Author) dept. of Computer Engineering Sardar Patel Institute of Technology, Andheri(west) Mumbai, India jyoti_ramteke@spit.ac.in Abstract— Frequent subgraph mining (FSM) is a crucial task for explorative information analysis on graph information. Over the years