Biomedical subjects
Publications and source records attributed to A Goede.
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INTRODUCTION: Localized large vessel thrombosis in acute leukaemia is rare, haemorrhagic complications being more common. METHOD: We present a patient with acute promyelocytic leukaemia (APL) presenting with an acutely ischaemic lower limb. Large vessel thrombosis is a rare presentation of APL. We reviewed the literature on the coagulopathy of APL and discuss the pathology and current treatment options. DISCUSSION: Disordered haemostasis is typical of acute promyelocytic leukaemia (FAB M3) and relates to the intrinsic properties of the blast cells as well as thrombocytopenia from bone marrow involvement. Expression of procoagulants, stimulation of cytokines and alterations in endothelial cell anticoagulant properties initiate a disseminated intravascular coagulation (DIC) resulting in the typical clinical and laboratory findings in APL. The promyelocytes are characterized by the balanced reciprocal translocation between chromosomes 15 and 17. All-trans-retinoic acid (ATRA) induces differentiation in these cells, revolutionizing the treatment of APL. CONCLUSION: Unexpected limb ischaemia in a young, apparently healthy patient might be the presenting symptom of an underlying haematological disorder such as APL. A thorough haematological investigation should be performed prior to contemplating surgery. New treatment strategies based on knowledge of the molecular biology of APL has improved the prognosis of patients suffering from APL.
One of the most important and challenging tasks in protein modelling is the prediction of loops, as can be seen in the large variety of existing approaches. Loops In Proteins (LIP) is a database that includes all protein segments of a length up to 15 residues contained in the Protein Data Bank (PDB). In this study, the applicability of LIP to loop prediction in the framework of homology modelling is investigated. Searching the database for loop candidates takes less than 1 s on a desktop PC, and ranking them takes a few minutes. This is an order of magnitude faster than most existing procedures. The measure of accuracy is the root mean square deviation (RMSD) with respect to the main-chain atoms after local superposition of target loop and predicted loop. Loops of up to nine residues length were modelled with a local RMSD <1 A and those of length up to 14 residues with an accuracy better than 2 A. The results were compared in detail with a thoroughly evaluated and tested ab initio method published recently and additionally with two further methods for a small loop test set. The LIP method produced very good predictions. In particular for longer loops it outperformed other methods.
We present a general approach which allows automatic identification of sub-structures in proteins that resemble given three-dimensional templates. This paper documents its success with non-peptide templates such as beta-turn mimetics. We considered well-tested turn-mimetics such as the bicyclic turned dipeptide (BTD), spiro lactam (Spiro) and the 2,5-disubstituded tetrahydrofuran (THF), a new furan-derivative which was recently developed and characterized. The detected geometric similarity between the templates and the protein patches corresponds to r.m.s.-values of 0.3 A for more than 80% of the constituting atoms, which is typical for active site comparisons of homologous proteins. This fast automatic procedure might be of biomedical value for finding special mimicking leads for particular protein sub-structures as well as for template-assembled synthetic protein (TASP) design.
We report an atypical lipoma arising in the tongue of a 43-year-old man who presented with an indolent dorsal lingual swelling. Atypical lipomas contain multivacoulated lipoblasts, which distinguishes them from benign lipomas. The superficial location in this case distinguishes this tumour from well-differentiated liposarcoma, which is biologically similar in lacking the propensity for metastasis. The superficial location of atypical lipoma allows a complete resection, which is often not possible for the deep-seated counterpart. Atypical lipoma and well-differentiated liposarcoma, if left in situ, may undergo transition to de-differentiated liposarcoma. Atypical lipoma should be completely excised with a cuff of normal tissue in order to prevent repeated local recurrence and the possibility of de-differentiation.
It is observed that during divergent evolution of two proteins with a common phylogenetic origin, the structural similarity of their backbones is often preserved even when the sequence similarity between them decreases to a virtually undetectable level. Here we analyzed, whether the conservation of structure along evolution involves also the local atomic structures in the interfaces between secondary structural elements. We have used as study case one protein family, the proteasomal subunits, for which 17 crystal structures are known. These include 14 different subunits of Saccharomyces cerevisiae, 2 subunits of Thermoplasma acidophilum and one subunit of Escherichia coli. The structural core of the 17 proteasomal subunits has 23 secondary structural elements. Any two adjacent secondary structural elements form a molecular interface consisting of two molecular patches. We found 61 interfaces that occurred in all 17 subunits. The 3D shape of equivalent molecular patches from different proteasomal subunits were compared by superposition. Our results demonstrate that pairs of equivalent molecular patches show an RMSD which is lower than that of randomly chosen patches from unrelated proteins. This is true even when patch comparisons with identical residues were excluded from the analysis. Furthermore it is known that the sequential dissimilarity is correlated to the RMSD between the backbones of the members of protein families. The question arises whether this is also true for local atomic structures. The results show that the correlation of individual patch RMSD values and local sequence dissimilarities is low and has a wide range from 0 to 0.41, however, it is surprising that there is a good correlation between the average RMSD of all corresponding patches and the global sequence dissimilarity. This average patch RMSD correlates slightly stronger than the C(alpha)-trace RMSD to the global sequence dissimilarity.
MOTIVATION: Should reports on molecular mimicry in particular cases, e.g. responsible for cross-reactivity, be considered as accidental or as a general principle in protein evolution? To answer this question, two types of similarity have to be considered: those in homologues (synonyms) and resemblance between patches from unrelated proteins (homonyms). RESULTS: All interfaces from known protein structures were collected in a comprehensive data bank [Dictionary of Interfaces in Proteins (DIP)]. A fast, sequence-independent, three-dimensional superposition procedure was developed to search automatically for geometrically similar surface areas. Surprisingly, we found a large number of structurally similar interfaces on the surface of unrelated proteins. Even patches from different types of secondary structure were found resembling each other. The putative functional meaning of homonyms is demonstrated with striking examples.
About 6000 contact regions (patches) of helix-to-helix packing from 300 well-resolved non-homologous protein structures were considered. The patches were defined by the spatial helical neighbors and were estimated in atomic detail using a variable distance criterion. The following questions are addressed. (1) Are the amino acid preferences and atomic composition of distinct types of helical patches indicative for the type of their neighbor? Distributions of size, atomic composition and packing density are compared for different types of helical interfaces. Thereby contact preferences are derived for parts of secondary structures adjoining each other or pointing towards the solvent. (2) Is it possible to cluster helical patches according to their structural similarity? For these purposes the patches were classified with an automatic sequence-independent superposition procedure which yields a distinctively reduced set of representative interfaces. On this basis, the methodology for finding exchangeable patches in different proteins is demonstrated.
Molecular surface areas of proteins are responsible for selective binding of ligands and protein-protein recognition, and are considered the basis for specific interactions between different parts of a protein. This basic principle leads us to study the interfaces within proteins as a learning set for intermolecular recognition processes of ligands like substrates, coenzymes, etc., and for prediction of contacts occurring during protein folding and association. For this purpose, we defined interfaces as pairs of matching molecular surface patches between neighboring secondary structural elements. All such interfaces from known protein structures were collected in a comprehensive data bank of interfaces in proteins (DIP). The up-to-date DIP contains interface files for 351 selected Brookhaven Protein Data Bank entries with a total of about 160,000 surface elements formed by 12,475 secondary structures. For special purposes, the inclusion of additional structures or selection of subgroups of proteins can be performed in an easy and straightforward manner. Atomic coordinates of the constituents of molecular surface patches are directly accessible as well as the corresponding contact distances from given atoms to their neighboring secondary structural elements. As a rule, independent of the type of secondary structure, the molecular surface patches of the secondary structural elements can be described as quite flat bodies with a length to width to depth ratio of about 3:2:1 for patches consisting of more than ten atoms. The relative orientation between two docking patches is strongly restricted, due to the narrow distribution of the distances between their centers of mass and of the angles between their normal lines, respectively. The existing retrieval system for the DIP allows selection (out of the set of molecular patches) according to different criteria, such as geometric features, atomic composition, type of secondary structure, contacts, etc. A fast, sequence-independent 3-D superposition procedure was developed for automatic searches for geometrically similar surface areas. Using this procedure, we found a large number of structurally similar interfaces of up to 30 atoms in completely unrelated protein structures.
Nowadays the most successful strategy for the prediction of the tertiary structure of proteins is the homology-based modelling using known structures. A real chance to predict the general fold of a protein arises only in cases with a sufficient sequence homology (e.g. 27% over 100 residues). In this analysis we examine the phenomenon of inverse sequence similarity (ISS) in proteins and its structural meaning. In sequence data bases we found a lot of examples for ISS up to 34% identity over 204 residues and a surprisingly large number of self-inverse protein sequences. By inspection of inverse similar sequence pairs with known tertiary structures we observe that inverse sequence alignments above the threshold indicating structural similarity generally do not imply comparable folds for both. From our analysis we conclude that the straightforward employment of ISS for protein structure prediction fails even above the known threshold for 'safe similarity'.