Biomedical subjects

Visvaldas Kairys

Publications and source records attributed to Visvaldas Kairys.

5 recordsLinked to original sources

PubMed2004

Structural model for an AxxxG-mediated dimer of surfactant-associated protein C.

The pulmonary surfactant prevents alveolar collapse and is required for normal pulmonary function. One of the important components of the surfactant besides phospholipids is surfactant-associated protein C (SP-C). SP-C shows complex oligomerization behavior and a transition to beta-amyloid-like fibril structures, which are not yet fully understood. Besides this nonspecific oligomerization, MS and chemical cross-linking data combined with CD spectra provide evidence of a specific, mainly alpha-helical, dimer at low to neutral pH. Furthermore, resistance to CNBr cleavage and dual NMR resonances of porcine and human recombinant SP-C with Met32 replaced by isoleucine point to a dimerization site located at the C-terminus of the hydrophobic alpha-helix of SP-C, where a strictly conserved heptapeptide sequence is found. Computational docking of two SP-C helices, described here, reveals a dimer with a helix-helix interface that strikingly resembles that of glycophorin A and is mediated by an AxxxG motif similar to the experimentally determined GxxxG pattern of glycophorin A. It is highly likely that mature SP-C adopts such a dimeric structure in the lamellar bilayer systems found in the surfactant. Dimerization has been shown in previous studies to have a role in sorting and trafficking of SP-C and may also be important to the surfactant function of this protein.

Amino Acid Motifs↗

PubMed2003

Solution structure and functional ligand screening of HI0719, a highly conserved protein from bacteria to humans in the YjgF/YER057c/UK114 family.

HI0719 belongs to a large family of highly conserved proteins with no definitive molecular function and is found in organisms ranging from bacteria to humans. We describe the NMR structure of HI0719, the first solution structure for a member of this family. The overall fold is similar to the crystal structures of two homologues, YabJ from Bacillus subtilis and YjgF from Escherichia coli, and all three structures are similar to that of chorismate mutase, although there is little sequence homology and no apparent functional connection. HI0719 is a homotrimer with a distinct cavity located at the subunit interface. Six of the seven invariant residues in the high identity group of proteins are located in this cavity, suggesting that this may be a binding site for small molecules. Using previously published observations about the biological role of HI0719 family members as a guide, over 100 naturally occurring small molecules or structural analogues were screened for ligand binding using NMR spectroscopy. The targeted screening approach identified six compounds that bind to HI0719 at the putative active site. Five of these compounds are either alpha-keto acids or alpha,beta-unsaturated acids, while the sixth compound is structurally similar. Previous studies have proposed that some HI0719 homologues may act on small molecules in the isoleucine biosynthetic path and, if this is correct, the ligand screening results presented here suggest that the interaction most likely occurs with 2-ketobutyrate and/or its unstable enamine precursor.

Amino Acid Sequence↗

PubMed2002

Enhanced docking with the mining minima optimizer: acceleration and side-chain flexibility.

The ligand-protein docking algorithm based on the Mining Minima method has been substantially enhanced. First, the basic algorithm is accelerated by: (1) adaptively determining the extent of each energy well to help avoid previously discovered energy minima; (2) biasing the search away from ligand positions at the surface of the receptor to prevent the ligand from staying at the surface when large sampling regions are used; (3) quickly testing multiple different ligand positions and orientations for each ligand conformation; and (4) tuning the source code to increase computational efficiency. These changes markedly shorten the time needed to discover an accurate result, especially when large sampling regions are used. The algorithm now also allows user-selected receptor sidechains to be treated as mobile during the docking procedure. The energies associated with the mobile side chains are computed as if they belonged to the ligand, except that atoms at the boundary between side chains and the rigid backbone are treated specially. This new capability is tested for several well-known ligand/protein systems, and preliminary application to an enzyme whose substrate is unknown--the recently solved hypothetical protein YecO (HI0319) from Haemophilus influenzae--indicates that side-chains relaxations allow candidate substrates of various sizes to be accommodated.

Algorithms↗

PubMedDate not supplied

Comparing ligand interactions with multiple receptors via serial docking.

Standard uses of ligand-receptor docking typically focus on the association of candidate ligands with a single targeted receptor, but actual applications increasingly require comparisons across multiple receptors. This study demonstrates that comparative docking to multiple receptors can help to select homology models for virtual compound screening and to discover ligands that bind to one set of receptors but not to another, potentially similar, set. A serial docking algorithm is furthermore described that reduces the computational costs of such calculations by testing compounds against a series of receptor structures and discarding a compound as soon as it fails to satisfy specified bind/no bind criteria for each receptor. The algorithm also realizes substantial efficiencies by taking advantage of the fact that a ligand typically binds in similar conformations to similar receptors. Thus, once detailed docking has been used to fit a ligand into the first of a series of similar receptors, much less extensive calculations can be used for the remaining structures.

Algorithms↗

PubMedDate not supplied

Screening drug-like compounds by docking to homology models: a systematic study.

In the absence of an experimentally solved structure, a homology model of a protein target can be used instead for virtual screening of drug candidates by docking and scoring. This approach poses a number of questions regarding the choice of the template to use in constructing the model, the accuracy of the screening results, and the importance of allowing for protein flexibility. The present study addresses such questions with compound screening calculations for multiple homology models of five drug targets. A central result is that docking to homology models frequently yields enrichments of known ligands as good as that obtained by docking to a crystal structure of the actual target protein. Interestingly, however, standard measures of the similarity of the template used to build the homology model to the targeted protein show little correlation with the effectiveness of the screening calculations, and docking to the template itself often is as successful as docking to the corresponding homology model. Treating key side chains as mobile produces a modest improvement in the results. The reasons for these sometimes unexpected results, and their implications for future methodologic development, are discussed.

Computer Simulation↗