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The deoxyribonucleic acid (DNA) is the molecule of life that controls all the chemical changes that take place in cells. The interaction of drugs with DNA is among the most important aspects of biological studies in drug discovery and pharmaceutical development processes. Moreover, the knowledge of specific targets in rational design of chemotherapeutics is a fundamental factor, principally, for the design of molecules that can be used in the treatment of oncologic diseases. Observing the pre-and postsigns of drug-DNA interaction provides good evidence for the interaction mechanism to be elucidated. Also, this interaction could be used for the quantification of drugs and for the determination of new drugs targeting DNA. Approaches can provide new insight into rational drug design and would lead to further understanding of the interaction mechanism between anticancer drugs and DNA. The intention of this chapter is to provide several examples of anticancer drugs, DNA interaction, and the mechanisms of interaction in order to understand the influence of several interaction factors in the capacity and selectivity of the anticancer drugs to interact with DNA. In addition, different experimental and theoretical approaches to detect and to evaluate the anticancer drugs' interactions with DNA were also discussed.

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Agricultural soil and wells water that used for irrigation and drinking may contain high levels of toxic trace elements. In this study the concentration of Al, Ni, Co, Mn, Cr, Pb, As and Cd in agricultural soil and wells water samples from Turabah Province (Saudi Arabia) were determined by usingI nductively coupled plasma optical emission spectrometer (ICP-OES) and microwave acid digestion techniques for soil samples. According to limit of detection (LOD) Co was not detected in all samples, while other studied trace elements (TEs) were detected in different concentrations values according to type and location of the sample. Further more, Al recorded at high values of concentration in some soil samples. The analysis method was validated in terms of accuracy, precision, limit of detection (LOD) and limit of quantification (LOQ) and confirmation reliability. The recovery percent was found to be between 91.6-103.4%.