Identification and hydropathic characterization of structural features affecting sequence specificity for doxorubicin intercalation into DNA double-stranded polynucleotides

• Published in: Nucleic acids research Vol. 26; no. 20; pp. 4721 - 4732
• Main Authors: Kellogg, Glen E., Scarsdale, J. Neel, Fornari, Frank A.
• Format: Journal Article
• Language: English
• Published: England Oxford University Press 15.10.1998
• Subjects: Base Pairing; Binding Sites; DNA Adducts - chemistry; Doxorubicin - chemistry; Doxorubicin - metabolism; Hydrogen Bonding; Intercalating Agents - chemistry; Intercalating Agents - metabolism; Ligands; Models, Molecular; Oligodeoxyribonucleotides - chemistry; Oligodeoxyribonucleotides - metabolism; Substrate Specificity; Thermodynamics
• ISSN: 0305-1048; 1362-4962
• DOI: 10.1093/nar/26.20.4721

The computer molecular modeling program HINT (Hydropathic INTeractions), an empirical hydropathic force field function that includes hydrogen bonding, coulombic and hydrophobic terms, was used to study sequence-selective doxorubicin binding/intercalation in the 64 unique CAxy, CGxy, TAxy, TGxy base pair quartet combinations. The CAAT quartet sequence is shown to have the highest binding score of the 64 combinations. Of the two regularly alternating polynucleotides, d(CGCGCG)2 and d(TATATA)2, the HINT calculated binding scores reveal doxorubicin binds preferentially to d(TATATA)2. Although interactions of the chromophore with the DNA base pairs defining the intercalation site [I−1] [I+1] and the neighboring [I+2] base pair are predominant, the results obtained with HINT indicate that the base pair [I+3] contributes significantly to the sequence selectivity of doxorubicin by providing an additional hydrogen bonding opportunity for the N3′ ammonium of the daunosamine sugar moiety in ∼25% of the sequences. This observation, that interactions involving a base pair [I+3] distal to the intercalation site play a significant role in stabilizing/destabilizing the intercalation of doxorubicin into the various DNA sequences, has not been previously reported. In general terms, this work shows that molecular modeling and careful analysis of molecular interactions can have a significant role in designing and evaluating nucleotides and antineoplastic agents.