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Herman W T van Vlijmen

Publications and source records attributed to Herman W T van Vlijmen.

4 recordsLinked to original sources

Trends in antibody sequence changes during the somatic hypermutation process.

Probable germline gene sequences from thousands of aligned mature Ab sequences are inferred using simple computational matching to known V(D)J genes. Comparison of the germline to mature sequences in a structural region-dependent fashion allows insights into the methods that nature uses to mature Abs during the somatic hypermutation process. Four factors determine the residue type mutation patterns: biases in the germline, accessibility from single base permutations, location of mutation hotspots, and functional pressures during selection. Germline repertoires at positions that commonly contact the Ag are biased with tyrosine, serine, and tryptophan. These residue types have a high tendency to be present in mutation hotspot motifs, and their abundance is decreased during maturation by a net conversion to other types. The heavy use of tyrosines on mature Ab interfaces is thus a reflection of the germline composition rather than being due to selection during maturation. Potentially stabilizing changes such as increased proline usage and a small number of double cysteine mutations capable of forming disulfide bonds are ascribed to somatic hypermutation. Histidine is the only residue type for which usage increases in each of the interface, core, and surface regions. The net overall effect is a conversion from residue types that could provide nonspecific initial binding into a diversity of types that improve affinity and stability. Average mutation probabilities are approximately 4% for core residues, approximately 5% for surface residues, and approximately 12% for residues in common Ag-contacting positions, excepting the those coded by the D gene.

Amino Acid Sequence↗

Normal mode calculations of icosahedral viruses with full dihedral flexibility by use of molecular symmetry.

The study of the dynamics and thermodynamics of small icosahedral virus capsids is an active field of research. Normal mode analysis is one of the computational tools that can provide important insights into the conformational changes of the virus associated with cell entry or caused by changing of the physicochemical environment. Normal mode analysis of virus capsids has been limited due to the size of these systems, which often exceed 50,000 residues. Here we present the first normal mode calculation with full dihedral flexibility of several virus capsids, including poliovirus, rhinovirus, and cowpea chlorotic mottle virus. The calculations were made possible by applying group theoretical methods, which greatly simplified the calculations without any approximation beyond the all-atom force field representations in general use for smaller protein systems. Since a full Cartesian basis set was too large to be handled by the available computer memory, we used a basis set that includes all internal dihedral angles of the system with the exception of the peptide bonds, which were assumed rigid. The fluctuations of the normal modes are shown to correlate well with crystallographic temperature factors. The motions of the first several normal modes of each symmetry type are described. A hinge bending motion in poliovirus was found that may be involved in the mechanism by which bound small molecules inhibit conformational changes of the capsid. Fully flexible normal mode calculations of virus capsids are expected to increase our understanding of virus dynamics and thermodynamics, and can be useful in the refinement of cryo-electron microscopy structures of viruses.

Bromovirus↗

A novel database of disulfide patterns and its application to the discovery of distantly related homologs.

Disulfide bonds are conserved strongly among proteins of related structure and function. Despite the explosive growth of protein sequence databases and the vast numbers of sequence search tools, no tool exists to draw relations between the disulfide patterns of homologous proteins. We present a comprehensive database of disulfide bonding patterns and a search method to find proteins with similar disulfide patterns. The disulfide database was constructed using disulfide annotations extracted from SwissProt, and was expanded significantly from 16,736 to 94,499 disulfide-containing domains by an inference method that combines SwissProt annotations with Pfam multiple alignments. To search the database, we define a disulfide description, called the disulfide signature, which encodes both spacings between cysteine residues and cysteine connectivity. A web tool was developed that allows users to search for related disulfide patterns and for subpatterns resulting from the removal of one or more disulfides from the pattern. We explore the possibility of using disulfide pattern conservation to identify protein homologs that are undetectable by PSI-BLAST. Examples include the homology between a sea anemone antihypertensive/antiviral protein and a sea anemone neurotoxin, and the homology between tick anticoagulant peptide and bovine trypsin inhibitor. In both examples, there is a clear structural similarity and a functional relationship. We used the database to find structural homologs for the Cripto CFC domain. The identification of a von Willebrand Factor C (VWFC)-like domain agrees with its functional role and explains mutation data. We believe that the rapid increase in structure determinations arising from structural genomics efforts and advances in mass spectrometry techniques will greatly increase the number of disulfide annotations. This information will become a valuable resource for structural and functional annotations of proteins. The availability of a searchable disulfide pattern database will thus provide a powerful new addition to existing homolog discovery methods.

Amino Acid Sequence↗

The CRIPTO/FRL-1/CRYPTIC (CFC) domain of human Cripto. Functional and structural insights through disulfide structure analysis.

The disulfide structure of the CRIPTO/FRL-1/CRYPTIC (CFC) domain of human Cripto protein was determined by a combination of enzymatic and chemical fragmentation, followed by chromatographic separation of the fragments, and characterization by mass spectrometry and N-terminal sequencing. These studies showed that Cys115 forms a disulfide bond with Cys133, Cys128 with Cys149, and Cys131 with Cys140. Protein database searching and molecular modeling revealed that the pattern of disulfide linkages in the CFC domain of Cripto is the same as that in PARS intercerebralis major Peptide C (PMP-C), a serine protease inhibitor, and that the EGF-CFC domains of Cripto are predicted to be structurally homologous to the EGF-VWFC domains of the C-terminal extracellular portions of Jagged 1 and Jagged 2. Biochemical studies of the interactions of ALK4 with the CFC domain of Cripto by fluorescence-activated cell sorter analysis indicate that the CFC domain binds to ALK4 independent of the EGF domain. A molecular model of the CFC domain of Cripto was constructed based on the nuclear magnetic resonance structure of PMP-C. This model reveals a hydrophobic patch in the domain opposite to the presumed ALK4 binding site. This hydrophobic patch may be functionally important for the formation of intra or intermolecular complexes.

Activin Receptors, Type I↗