Biomedical subjects

Andrean Goede

Publications and source records attributed to Andrean Goede.

12 recordsLinked to original sources

PubMed2006

Analysis and prediction of helix-helix interactions in membrane channels and transporters.

Membrane proteins span a large variety of different functions such as cell-surface receptors, redox proteins, ion channels, and transporters. Proteins with functional pores show different characteristics of helix-helix packing as other helical membrane proteins. We found that the helix-helix contacts of 13 nonhomologous high-resolution structures of membrane channels and transporters are mainly accomplished by weakly polar amino acids (G > S > T > F) that preferably create contacts every fourth residue, typical for right-handed helix crossings. There is a strong correlation between the now available biological hydrophobicity scale and the propensities of the weakly polar and hydrophobic residues to be buried at helix-helix interfaces or to be exposed to the lipids in membrane channels and transporters. The polar residues, however, make no major contribution towards the packing of their transmembrane helices, and are therefore subsumed to be primarily exposed to the polar milieu during the folding process. The contact formation of membrane channels and transporters is therefore ruled by the solubility of the residues, which we suppose to be the driving force for the assembly of their transmembrane helices. By contrast, in 14 nonhomologous high-resolution structures of other membrane protein coils, also large and polar amino acids (D > S > M > Q) create characteristic contacts every 3.5th residues, which is a signature for left-handed helix crossings. Accordingly, it seems that dependent on the function, different concepts of folding and stabilization are realized for helical membrane proteins. Using a sequence-based matrix prediction method these differences are exploited to improve the prediction of buried and exposed residues of transmembrane helices significantly. When the sequence motifs typical for membrane channels and transporters were applied for the prediction of helix-helix contacts the quality of prediction rises by 16% to an average value of 76%, compared to the same approach when only single amino acid positions are taken into account.

Binding Sites↗

PubMed2006

Representation of target-bound drugs by computed conformers: implications for conformational libraries.

BACKGROUND: The increasing number of known protein structures provides valuable information about pharmaceutical targets. Drug binding sites are identifiable and suitable lead compounds can be proposed. The flexibility of ligands is a critical point for the selection of potential drugs. Since computed 3D structures of millions of compounds are available, the knowledge of their binding conformations would be a great benefit for the development of efficient screening methods. RESULTS: Integration of two public databases allowed superposition of conformers for 193 approved drugs with 5507 crystallised target-bound counterparts. The generation of 9600 drug conformers using an atomic force field was carried out to obtain an optimal coverage of the conformational space. Bioactive conformations are best described by a conformational ensemble: half of all drugs exhibit multiple active states, distributed over the entire range of the reachable energy and conformational space.A number of up to 100 conformers per drug enabled us to reproduce the bound states within a similarity threshold of 1.0 angstroms in 70% of all cases. This fraction rises to about 90% for smaller or average sized drugs. CONCLUSION: Single drugs adopt multiple bioactive conformations if they interact with different target proteins. Due to the structural diversity of binding sites they adopt conformations that are distributed over a broad conformational space and wide energy range. Since the majority of drugs is well represented by a predefined low number of conformers (up to 100) this procedure is a valuable method to compare compounds by three-dimensional features or for fast similarity searches starting with pharmacophores. The underlying 9600 generated drug conformers are downloadable from the Super Drug Web site 1. All superpositions are visualised at the same source. Additional conformers (110,000) of 2400 classified WHO-drugs are also available.

Amino Acid Sequence↗

PubMed2006

SuperMimic--fitting peptide mimetics into protein structures.

BACKGROUND: Various experimental techniques yield peptides that are biologically active but have unfavourable pharmacological properties. The design of structurally similar organic compounds, i.e. peptide mimetics, is a challenging field in medicinal chemistry. RESULTS: SuperMimic identifies compounds that mimic parts of a protein, or positions in proteins that are suitable for inserting mimetics. The application provides libraries that contain peptidomimetic building blocks on the one hand and protein structures on the other. The search for promising peptidomimetic linkers for a given peptide is based on the superposition of the peptide with several conformers of the mimetic. New synthetic elements or proteins can be imported and used for searching. CONCLUSION: We present a graphical user interface for finding peptide mimetics that can be inserted into a protein or for fitting small molecules into a protein. Using SuperMimic, promising locations in proteins for the insertion of mimetics can be found quickly and conveniently.

Algorithms↗

PubMed2005

SUPERFICIAL--surface mapping of proteins via structure-based peptide library design.

BACKGROUND: The determination of protein surfaces and the detection of binding sites are essential to our understanding of protein-protein interactions. Such binding sites can be characterised as linear and non-linear, the non-linear sites being prevailant. Conventional mapping techniques with arrays of synthetic peptides have limitations with regard to the location of discontinuous or non-linear binding sites of proteins. RESULTS: We present a structure-based approach to the design of peptide libraries that mimic the whole surface or a particular region of a protein. Neighbouring sequence segments are linked by short spacers to conserve local conformation. To this end, we have developed SUPERFICIAL, a program that uses protein structures as input and generates library proposals consisting of linear and non-linear peptides. This process can be influenced by a graphical user interface at different stages, from the surface computation up to the definition of spatial regions. CONCLUSION: Based on 3D structures, SUPERFICIAL may help to negotiate some of the existing limitations, since binding sites consisting of several linear pieces can now be detected.

Binding Sites↗

PubMed2005

SuperLigands - a database of ligand structures derived from the Protein Data Bank.

BACKGROUND: Currently, the PDB contains approximately 29,000 protein structures comprising over 70,000 experimentally determined three-dimensional structures of over 5,000 different low molecular weight compounds. Information about these PDB ligands can be very helpful in the field of molecular modelling and prediction, particularly for the prediction of protein binding sites and function. DESCRIPTION: Here we present an Internet accessible database delivering PDB ligands in the MDL Mol file format which, in contrast to the PDB format, includes information about bond types. Structural similarity of the compounds can be detected by calculation of Tanimoto coefficients and by three-dimensional superposition. Topological similarity of PDB ligands to known drugs can be assessed via Tanimoto coefficients. CONCLUSION: SuperLigands supplements the set of existing resources of information about small molecules bound to PDB structures. Allowing for three-dimensional comparison of the compounds as a novel feature, this database represents a valuable means of analysis and prediction in the field of biological and medical research.

Animals↗

PubMed2005

Conservation of cis prolyl bonds in proteins during evolution.

In proteins and peptides, the vast majority of peptide bonds occurs in trans conformation, but a considerable fraction (about 5%) of X-Pro bonds adopts the cis conformation. Here we study the conservation of cis prolyl residues in evolutionary related proteins. We find that overall, in contrast to local, protein sequence similarity is a clear indicator for the conformation of prolyl residues. We observe that cis prolyl residues are more often conserved than trans prolyl residues, and both are more conserved than the surrounding amino acids, which show the same extent of conservation as the whole protein. The pattern of amino acid exchanges differs between cis and trans prolyl residues. Also, the cis prolyl bond is maintained in proteins with sequence identity as low as 20%. This finding emphasizes the importance of cis peptide bonds in protein structure and function.

Amino Acids↗

PubMed2005

SuperDrug: a conformational drug database.

MOTIVATION: Different resources exist for experimentally determined and computed three-dimensional (3D)-structures of low molecular weight structures but for approved drugs, no free, publicly accessible source of 3D-structures and conformers is available. Furthermore, for selection purposes or for correlation of structural similarity with medical application, the assignment of the Anatomical Therapeutic Chemical (ATC) classification codes to each structure according to the WHO-scheme would be desirable. RESULTS: The database contains approximately 2500 3D-structures of active ingredients of essential marketed drugs. To account for structural flexibility they are represented by 10(5) structural conformers. Here we present a web-query system enabling searches for drug name, synonyms, trade name, trivial name, formula, CAS-number, ATC-code etc. 2D-similarity screening (Tanimoto coefficients) and an automatic 3D-superposition procedure based on conformational representation are implemented. Drug structures above a similarity threshold as well as superimposed conformers can be retrieved in the mol- file format via a graphical interface. AVAILABILITY: For academic use the system is accessible at http://bioinf.charite.de/superdrug. The retrieval system requires the free browser-plugin 'chime' from MDL for visualization.

Computer Graphics↗

PubMed2004

Molecular packing and packing defects in helical membrane proteins.

The packing of helices spanning lipid bilayers is crucial for the stability and function of alpha-helical membrane proteins. Using a modified Voronoi procedure, we calculated packing densities for helix-helix contacts in membrane spanning domains. Our results show that the transmembrane helices of protein channels and transporters are significantly more loosely packed compared with helices in globular proteins. The observed packing deficiencies of these membrane proteins are also reflected by a higher amount of cavities at functionally important sites. The cavities positioned along the gated pores of membrane channels and transporters are noticeably lined by polar amino acids that should be exposed to the aqueous medium when the protein is in the open state. In contrast, nonpolar amino acids surround the cavities in those protein regions where large rearrangements are supposed to take place, as near the hinge regions of transporters or at restriction sites of protein channels. We presume that the observed deficiencies of helix-helix packing are essential for the helical mobility that sustains the function of many membrane protein channels and transporters.

Computer Simulation↗

PubMed2003

Accelerating screening of 3D protein data with a graph theoretical approach.

MOTIVATION: The Dictionary of Interfaces in Proteins (DIP) is a database collecting the 3D structure of interacting parts of proteins that are called patches. It serves as a repository, in which patches similar to given query patches can be found. The computation of the similarity of two patches is time consuming and traversing the entire DIP requires some hours. In this work we address the question of how the patches similar to a given query can be identified by scanning only a small part of DIP. The answer to this question requires the investigation of the distribution of the similarity of patches. RESULTS: The score values describing the similarity of two patches can roughly be divided into three ranges that correspond to different levels of spatial similarity. Interestingly, the two iso-score lines separating the three classes can be determined by two different approaches. Applying a concept of the theory of random graphs reveals significant structural properties of the data in DIP. These can be used to accelerate scanning the DIP for patches similar to a given query. Searches for very similar patches could be accelerated by a factor of more than 25. Patches with a medium similarity could be found 10 times faster than by brute-force search.

Algorithms↗

PubMed2003

Inhomogeneous molecular density: reference packing densities and distribution of cavities within proteins.

MOTIVATION: There is no consensus in the literature about how the deepest portions of protein structures are packed. Using an improved Voronoi procedure, we calculate reference packing densities for different regions in the protein interior. Furthermore, we want to clarify where cavities are located. RESULTS: Sets of reference packing densities are provided for regions in proteins that differ in their distance to the surface and to internal cavities, supplementing previous data. Packing in the protein interior is tight but generally inhomogeneous. There are about 4.4 cavities per 100 amino acids in protein structures, they occur in all regions, most frequently in a depth of 2.5-3.6 A underneath the Connolly surface. However, the deepest protein regions have a lower mean packing density than circumjacent regions, because more contacts to cavities occur in the core. AVAILABILITY/SUPPLEMENTARY INFORMATION: Calculation software and detailed packing data are available on request.

Amino Acid Sequence↗

PubMed2003

A comprehensive view on proteasomal sequences: implications for the evolution of the proteasome.

Proteasomes are large multimeric self-compartmentizing proteases, which play a crucial role in the clearance of misfolded proteins, breakdown of regulatory proteins, processing of proteins by specific partial proteolysis, cell cycle control as well as preparation of peptides for immune presentation. Two main types can be distinguished by their different tertiary structure: the 20S proteasome and the proteasome-like heat shock protein encoded by heat shock locus V, hslV. Usually, each biological kingdom is characterized by its specific type of proteasome. The 20S proteasomes occur in eukarya and archaea whereas hslV protease is prevalent in bacteria. To verify this rule we applied a genome-wide sequence search to identify proteasomal sequences in data of finished and yet unfinished genome projects. We found several exceptions to this paradigm: (1) Protista: in addition to the 20S proteasome, Leishmania, Trypanosoma and Plasmodium contained hslV, which may have been acquired from an alpha-proteobacterial progenitor of mitochondria. (2) Bacteria: for Magnetospirillum magnetotacticum and Enterococcus faecium we found that each contained two distinct hslVs due to gene duplication or horizontal transfer. Including unassembled data into the analyses we confirmed that a number of bacterial genomes do not contain any proteasomal sequence due to gene loss. (3) High G+C Gram-positives: we confirmed that high G+C Gram-positives possess 20S proteasomes rather than hslV proteases. The core of the 20S proteasome consists of two distinct main types of homologous monomers, alpha and beta, which differentiated into seven subtypes by further gene duplications. By looking at the genome of the intracellular pathogen Encephalitozoon cuniculi we were able to show that differentiation of beta-type subunits into different subtypes occurred earlier than that of alpha-subunits. Additionally, our search strategy had an important methodological consequence: a comprehensive sequence search for a particular protein should also include the raw sequence data when possible because proteins might be missed in the completed assembled genome. The structure-based multiple proteasomal alignment of 433 sequences from 143 organisms can be downloaded from the URL dagger and will be updated regularly.

Amino Acid Sequence↗

PubMedDate not supplied

Comparison of 2D similarity and 3D superposition. Application to searching a conformational drug database.

In a database of about 2000 approved drugs, represented by 10(5) structural conformers, we have performed 2D comparisons (Tanimoto coefficients) and 3D superpositions. For one class of drugs the correlation between structural resemblance and similar action was analyzed in detail. In general Tanimoto coefficients and 3D scores give similar results, but we find that 2D similarity measures neglect important structural/funtional features. Examples for both over- and underestimation of similarity by 2D metrics are discussed. The required additional effort for 3D superpositions is assessed by implementation of a fast algorithm with a processing time below 0.01 s and a more sophisticated approach (0.5 s per superposition). According to the improvement of similarity detection compared to 2D screening and the pleasant rapidity on a desktop PC, full-atom 3D superposition will be an upcoming method of choice for library prioritization or similarity screening approaches.

Database Management Systems↗