Hydrogen-bonding patterns of minor groove-binder-DNA complexes reveal criteria for discovery of new scaffolds

Quantum mechanics and 3D-QSAR studies on thienopyridine analogues: inhibitors of IKKβ

Inhibitor of kappa B kinase subunit β (IKKβ) is a main regulator of nuclear factor kappa B (NF-κB) and has received considerable attention as an attractive therapeutic target for the treatment of lung cancer or other inflammatory disease. A group of diversified thienopyridine derivatives exhibited a wide range of biological activity was used to investigate its structural requirements by using DFT and 3D-Quantitative structure activity relationship. Comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) were established using the experimental activity of thienopyridine derivatives. The cross-validation coefficient (q2) values for CoMFA and CoMSIA are 0.671 and 0.647 respectively, were achieved, demonstrating high predictive capability of the model. The contour analysis indicate that presence of hydrophobic and electrostatic field is highly desirable for biological activity. The results indicate that substitution of hydrophobic group with electron withdrawing effect at R4 and R6 position have more possibility to increase the biological activity of thienopyridine derivatives. Subsequently molecular docking and DFT calculation were performed to assess the potency of the compounds.

Comparative in silico study of congocidine congeners as potential inhibitors of African swine fever virus

African swine fever virus (ASFV) infection is fatal in domesticated pigs, with a mortality rate approaching 100%. This may result in economic losses and threats to food security. Currently, there are no approved vaccines or antiviral therapies for ASFV. Therefore, in this study, we evaluated congocidine congeners and a tris-benzimidazole as potential inhibitors of ASFV transcription using an in silico approach. We applied redocking of congocidine and docking of its congeners and a tris-benzimidazole to a receptor containing B-DNA with AT-motifs as a target to mimic conserved ASFV late gene promoters. Subsequently, the binding scores of DNA-ligand docked complexes were evaluated and their binding affinity was estimated. Molecular dynamics (MD) simulation was then used to assess ligand behavior within the minor groove. From our results, it is evident the less toxic congocidine congeners and tris-benzimidazole could dock to AT-rich regions significantly. Additionally, the predicted binding affinities had suitable values comparable to other experimentally determined minor groove binders, MD simulation of the docked DNA-ligand complexes and subsequent molecular trajectory visualization further showed that the ligands remained embedded in the minor groove during the time course of simulation, indicating that these ligands may have potential applications in abrogating ASFV transcription.

Dihedral-based segment identification and classification of biopolymers II: polynucleotides

In an accompanying paper (Nagy, G.; Oostenbrink, C. Dihedral-based segment identification and classification of biopolymers I: Proteins. J. Chem. Inf. Model. 2013, DOI: 10.1021/ci400541d), we introduce a new algorithm for structure classification of biopolymeric structures based on main-chain dihedral angles. The DISICL algorithm (short for DIhedral-based Segment Identification and CLassification) classifies segments of structures containing two central residues. Here, we introduce the DISICL library for polynucleotides, which is based on the dihedral angles ε, ζ, and χ for the two central residues of a three-nucleotide segment of a single strand. Seventeen distinct structural classes are defined for nucleotide structures, some of which—to our knowledge—were not described previously in other structure classification algorithms. In particular, DISICL also classifies noncanonical single-stranded structural elements. DISICL is applied to databases of DNA and RNA structures containing 80,000 and 180,000 segments, respectively. The classifications according to DISICL are compared to those of another popular classification scheme in terms of the amount of classified nucleotides, average occurrence and length of structural elements, and pairwise matches of the classifications. While the detailed classification of DISICL adds sensitivity to a structure analysis, it can be readily reduced to eight simplified classes providing a more general overview of the secondary structure in polynucleotides.

The crystal structure of the Sox4 HMG domain-DNA complex suggests a mechanism for positional interdependence in DNA recognition

It has recently been proposed that the sequence preferences of DNA-binding TFs (transcription factors) can be well described by models that include the positional interdependence of the nucleotides of the target sites. Such binding models allow for multiple motifs to be invoked, such as principal and secondary motifs differing at two or more nucleotide positions. However, the structural mechanisms underlying the accommodation of such variant motifs by TFs remain elusive. In the present study we examine the crystal structure of the HMG (high-mobility group) domain of Sox4 [Sry (sex-determining region on the Y chromosome)-related HMG box 4] bound to DNA. By comparing this structure with previously solved structures of Sox17 and Sox2, we observed subtle conformational differences at the DNA-binding interface. Furthermore, using quantitative electrophoretic mobility-shift assays we validated the positional interdependence of two nucleotides and the presence of a secondary Sox motif in the affinity landscape of Sox4. These results suggest that a concerted rearrangement of two interface amino acids enables Sox4 to accommodate primary and secondary motifs. The structural adaptations lead to altered dinucleotide preferences that mutually reinforce each other. These analyses underline the complexity of the DNA recognition by TFs and provide an experimental validation for the conceptual framework of positional interdependence and secondary binding motifs.

Minor groove binders and drugs targeting proteins cover complementary regions in chemical shape space

DNA minor groove binders (MGBs) are known to influence gene expression and are therefore widely studied to explore their therapeutic potential. We identified shape-based virtual screening with ROCS as a highly effective computational approach to enrich known MGBs in top-ranked molecules. Discovery of ten previously unknown MGBs by shape-based screening further confirmed the relevance of ligand shape for minor groove affinity. Based on experimental testing we propose three simple rules (at least two positive charges, four nitrogen atoms, and one aromatic ring) as filters to reach even better enrichment of true positives in ROCS hit lists. Interestingly, shape-based ranking of MGBs versus FDA-approved drugs again leads to high enrichment rates, indicating complementary coverage of chemical shape space and indicating minor groove affinity to be unfavorable for approval of drugs targeting proteins.

In search of second-generation HIV integrase inhibitors: targeting integration beyond strand transfer

Highly active antiretroviral therapy combines antiviral drugs targeting different steps in the HIV replication cycle in order to reduce viral loads in patients to undetectable levels. Since HIV readily develops resistance and can therefore escape the action of existing drugs, novel drugs with novel mechanisms of action must be developed. The integration of the viral genome into the human genome is an essential and critical replication step that is catalyzed by the viral integrase with the help of cellular cofactors. Although HIV-1 integrase has been studied for more than two decades, the first integrase inhibitor, raltegravir, was only recently approved for clinical use. A second compound, elvitegravir, is currently in advanced clinical trials. Both drugs interfere with the strand-transfer reaction of integrase. Due to the complexity and multistep nature of the integration reaction, several other functions of integrase can be exploited for drug discovery. In this review, we will describe these alternative strategies to inhibit integration. They have recently attracted considerable interest for the development of second-generation integrase inhibitors.