Computational methods for transition state and inhibitor recognition

The DNA trackwalkers: principles of lesion search and recognition by DNA glycosylases

DNA glycosylases, the pivotal enzymes in base excision repair, are faced with the difficult task of recognizing their substrates in a large excess of unmodified DNA. We present here a kinetic analysis of DNA glycosylase substrate specificity, based on the probability of error. This novel approach to this subject explains many features of DNA surveillance and catalysis of lesion excision by DNA glycosylases. This approach also is applicable to the general issue of substrate specificity. We discuss determinants of substrate specificity in damaged DNA and in the enzyme, as well as methods by which these determinants can be identified.

Development of transition state analogues of purine nucleoside phosphorylase as anti-T-cell agents

Newborns with a genetic deficiency of purine nucleoside phosphorylase (PNP) are normal, but exhibit a specific T-cell immunodeficiency during the first years of development. All other cell and organ systems remain functional. The biological significance of human PNP is degradation of deoxyguanosine, and apoptosis of T-cells occurs as a consequence of the accumulation of deoxyguanosine in the circulation, and dGTP in the cells. Control of T-cell proliferation is desirable in T-cell cancers, autoimmune diseases, and tissue transplant rejection. The search for powerful inhibitors of PNP as anti-T-cell agents has culminated in the immucillins. These inhibitors have been developed from knowledge of the transition state structure for the reactions catalyzed by PNP, and inhibit with picomolar dissociation constants. Immucillin-H (Imm-H) causes deoxyguanosine-dependent apoptosis of rapidly dividing human T-cells, but not other cell types. Human T-cell leukemia cells, and stimulated normal T-cells are both highly sensitive to the combination of Imm-H to block PNP and deoxyguanosine. Deoxyguanosine is the cytotoxin, and Imm-H alone has low toxicity. Single doses of Imm-H to mice cause accumulation of deoxyguanosine in the blood, and its administration prolongs the life of immunodeficient mice in a human T-cell tissue xenograft model. Immucillins are capable of providing complete control of in vivo PNP levels and hold promise for treatment of proliferative T-cell disorders.

Neural network methods for identification and optimization of quantum mechanical features needed for bioactivity

This paper presents a new approach to the discovery and design of bioactive compounds. The focus of this application will be on the analysis of enzymatic inhibitors. At present the discovery of enzymatic inhibitors for therapeutic use is often accomplished through random searches. The first phase of discovery is a random search through a large pre-fabricated chemical library. Many molecules are tested with refined enzyme for signs of inhibition. Once a group of lead compounds have been discovered the chemical intuition of biochemists is used to find structurally related compounds that are more effective. This step requires new molecules to be conceived and synthesized, and it is the most time-consuming and expensive step. The development of computational and theoretical methods for prediction of the molecular structure that would bind most tightly prior to synthesis and testing, would facilitate the design of novel inhibitors. In the past, our work has focused on solving the problem of predicting the bioactivity of a molecule prior to synthesis. We used a neural network trained with the bioactivity of known compounds to predict the bioactivity of unknown compounds. In our current work, we use a separate neural network in conjunction with a trained neural network in an attempt to gain insight as to how to modify existing compounds and increase their bioactivity.