Scaffold searching: automated identification of similar ring systems for the design of combinatorial libraries

Rigid ring systems can be used to position receptor-binding functional groups in 3D space and they thus play an increasingly important role in the design of combinatorial libraries. This paper discusses the use of shape-similarity methods to identify ring systems that are structurally similar to, and aligned with, a user-defined target ring system. These systems can be used as alternative scaffolds for the construction of a combinatorial library

Three-dimensional Structure Databases of Biological Macromolecules

Databases of three-dimensional structures of proteins (and their associated molecules) provide: (a)Curated repositories of coordinates of experimentally determined structures, including extensive metadata; for instance information about provenance, details about data collection and interpretation, and validation of results.(b)Information-retrieval tools to allow searching to identify entries of interest and provide access to them.(c)Links among databases, especially to databases of amino-acid and genetic sequences, and of protein function; and links to software for analysis of amino-acid sequence and protein structure, and for structure prediction.(d)Collections of predicted three-dimensional structures of proteins. These will become more and more important after the breakthrough in structure prediction achieved by AlphaFold2. The single global archive of experimentally determined biomacromolecular structures is the Protein Data Bank (PDB). It is managed by wwPDB, a consortium of five partner institutions: the Protein Data Bank in Europe (PDBe), the Research Collaboratory for Structural Bioinformatics (RCSB), the Protein Data Bank Japan (PDBj), the BioMagResBank (BMRB), and the Electron Microscopy Data Bank (EMDB). In addition to jointly managing the PDB repository, the individual wwPDB partners offer many tools for analysis of protein and nucleic acid structures and their complexes, including providing computer-graphic representations. Their collective and individual websites serve as hubs of the community of structural biologists, offering newsletters, reports from Task Forces, training courses, and “helpdesks,” as well as links to external software. Many specialized projects are based on the information contained in the PDB. Especially important are SCOP, CATH, and ECOD, which present classifications of protein domains

Solution structure of the inner DysF domain of myoferlin and implications for limb girdle muscular dystrophy type 2b

Mutations in the protein dysferlin, a member of the ferlin family, lead to limb girdle muscular dystrophy type 2B and Myoshi myopathy. The ferlins are large proteins characterised by multiple C2 domains and a single C-terminal membrane-spanning helix. However, there is sequence conservation in some of the ferlin family in regions outside the C2 domains. In one annotation of the domain structure of these proteins, an unusual internal duplication event has been noted where a putative domain is inserted in between the N- and C-terminal parts of a homologous domain. This domain is known as the DysF domain. Here, we present the solution structure of the inner DysF domain of the dysferlin paralogue myoferlin, which has a unique fold held together by stacking of arginine and tryptophans, mutations that lead to clinical disease in dysferlin

Solution Structure of the Tctex1 Dimer Reveals a Mechanism for Dynein-Cargo Interactions

SummaryTctex1 is a light chain found in both cytoplasmic and flagellar dyneins and is involved in many fundamental cellular activities, including rhodopsin transport within photoreceptors, and may function in the non-Mendelian transmission of t haplotypes in mice. Here, we present the NMR solution structure for the Tctex1 dimer from Chlamydomonas axonemal inner dynein arm I1. Structural comparisons reveal a strong similarity with the LC8 dynein light chain dimer, including formation of a strand-switched β sheet interface. Analysis of the Tctex1 structure enables the dynein intermediate chain binding site to be identified and suggests a mechanism by which cargo proteins might be attached to this microtubule motor complex. Comparison with the alternate dynein light chain rp3 reveals how the specificity of dynein-cargo interactions mediated by these dynein components is achieved. In addition, this structure provides insight into the consequences of the mutations found in the t haplotype forms of this protein

Insights into female sperm storage from the spermathecal fluid proteome of the honeybee Apis mellifera

A proteomic and metabolic network analysis of honeybee queen spermathecal fluid provides insights into female long-term sperm storage mechanisms

EST analysis of male accessory glands from Heliconius butterflies with divergent mating systems

<p>Abstract</p> <p>Background</p> <p><it>Heliconius </it>butterflies possess a remarkable diversity of phenotypes, physiologies, and behaviors that has long distinguished this genus as a focal taxon in ecological and evolutionary research. Recently <it>Heliconius </it>has also emerged as a model system for using genomic methods to investigate the causes and consequences of biological diversity. One notable aspect of <it>Heliconius </it>diversity is a dichotomy in mating systems which provides an unusual opportunity to investigate the relationship between sexual selection and the evolution of reproductive proteins. As a first step in pursuing this research, we report the generation and analysis of expressed sequence tags (ESTs) from the male accessory gland of <it>H. erato </it>and <it>H. melpomene</it>, species representative of the two mating systems present in the genus <it>Heliconius</it>.</p> <p>Results</p> <p>We successfully sequenced 933 ESTs clustering into 371 unigenes from <it>H. erato </it>and 1033 ESTs clustering into 340 unigenes from <it>H. melpomene</it>. Results from the two species were very similar. Approximately a third of the unigenes showed no significant BLAST similarity (E-value <10^-5) to sequences in GenBank's non-redundant databases, indicating that a large proportion of novel genes are expressed in <it>Heliconius </it>male accessory glands. In both species only a third of accessory gland unigenes were also found among genes expressed in wing tissue. About 25% of unigenes from both species encoded secreted proteins. This includes three groups of highly abundant unigenes encoding repetitive proteins considered to be candidate seminal fluid proteins; proteins encoded by one of these groups were detected in <it>H. erato </it>spermatophores.</p> <p>Conclusion</p> <p>This collection of ESTs will serve as the foundation for the future identification and evolutionary analysis of male reproductive proteins in <it>Heliconius </it>butterflies. These data also represent a significant advance in the rapidly growing collection of genomic resources available in <it>Heliconius </it>butterflies. As such, they substantially enhance this taxon as a model system for investigating questions of ecological, phenotypic, and genomic diversity.</p

Virtual compound screening and SAR analysis: method development and practical applications in the design of new serine and cysteine protease inhibitors

Virtual screening is an important tool in drug discovery that uses different computational methods to screen chemical databases for the identification of possible drug candidates. Most virtual screening methodologies are knowledge driven where the availability of information on either the nature of the target binding pocket or the type of ligand that is expect to bind is essential. In this regard, the information contained in X-ray crystal structures of protein-ligand complexes provides a detailed insight into the interactions between the protein and the ligand and opens the opportunity for further understanding of drug action and structure activity relationships at molecular level. Protein-ligand interaction information can be utilized to introduce target-specific interaction-based constraints in the design of focused combinatorial libraries. It can also be directly transformed into structural interaction fingerprints and can be applied in virtual screening to analyze docking studies or filter compounds. However, the integration of protein-ligand interaction information into two-dimensional compound similarity searching is not fully explored. Therefore, novel methods are still required to efficiently utilize protein-ligand interaction information in two-dimensional ligand similarity searching. Furthermore, application of protein-ligand interaction information in the interpretation of SARs at the ligand level needs further exploration. Thus, utilization of three-dimensional protein ligand interaction information in virtual screening and SAR analysis was the major aim of this thesis. The thesis is presented in two major parts. In the first part, utilization of three-dimensional protein-ligand interaction information for the development of a new hybrid virtual screening method and analysis of the nature of SARs in analog series at molecular level is presented. The second part of the thesis is focused on the application of different virtual screening methods for the identification of new cysteine and membrane-bound serine proteases inhibitors. In addition, molecular modeling studies were also applied to analyze the binding mode of structurally complex cyclic peptide inhibitors