UNLABELLED Physico-chemical properties of amino acids can be used to study protein sequence profiles, folding and function. We collated 242 properties for the 20 naturally occurring amino acids and created a dataset. The dataset is available as a database named APDbase( Amino acid Physico-chemical properties Data base). The database can be queried using either key words describing physico-chemi...

Quantitative Structure-Property Relationships (QSPR) are predictive methods of macroscopic properties of substances based on their only molecular structures. If these methods were initially mainly devoted to biology and toxicology, they are nowadays increasingly used for the prediction of physico-chemical properties. In the framework of the European REACH regulation (2006), their developments a...

the purpose of this study was comparison of applicability of tertiary treatment of tehran domestic sewage with organic and inorganic coagulants or a combination of them. the far test procedure was applied utilizing: alum, polyelectrolyte wt 2600, anionic polyelectorlyte wt 3000, and nonionic polyelctrolyte wt 2690 as organic coagulants (products of calgon). the combination of lime with each of ...

In the present study the efficacy of arkas (water distillate) and essential oils of cinnamon and clove is evaluated as a preservative for kwathas. Arkas and essential oils of cinnamon and clove have good preservative property without altering the physico - chemical properties of kwatha.

This paper proposes a new approach to analyzing DNA-based algorithms in molecular computation. Such protocols are characterized abstractly by: encoding, tube operations and extraction. Implementation of these approaches involves encoding in a multiset of molecules that are assembled in a tube having a number of physical attributes. The physico-chemical state of a tube can be changed by a prescr...

Environmental studies form an increasingly popular application domain for machine learning and data mining techniques. In this paper we consider some applications of decision tree learning in the domain of river water quality. More speciically, we study a) the simultaneous prediction of multiple physico-chemical properties of the water from its biological properties using a single decision tree...