Žinoma, kad pastovi nehistoninių polipetidų frakcija yra išgryninama kartu su eukariotine DNR ir sudaro labai tvirtus (galbūt kovalentinius) kompleksus tarp branduolio baltymų ir DNR. Nustatyta, kad Erlicho ascito tvirtuose DNR-baltymų kompleksuose yra baltymas C1D, baltymai, pasižymintys fosfataziniu ir kinaziniu aktyvumais, kai kurie proteazių slopikliai ir kiti, dar neištirti baltymai. Nepaisant intensyvių tyrinėjimų, eukariotinių ląstelių tvirti DNR-baltymų kompleksai vis dar lieka menkai aprašyti ir yra objektas tolimesniems tyrimams. Augalų TBP-DNR kompleksai kol kas buvo tyrinėti labai mažai. Šiame darbe charakterizuojami miežių Hordeum vulgare tvirti DNR-baltymų kompleksai. Mes tyrėme TBP-DNR kompleksus iš miežių skirtingų ūglių organų ir skirtingų vystymosi stadijų ląstelių: lapų, šaknų, koleoptilės. Norint ištirti tokių nukleoproteidų funkcijas, svarbu charakterizuoti individualius komplekso komponentus: polipeptidus ir DNR. Taigi, išskyrėme tvirtai su DNR sąveikaujančius baltymus iš miežių skirtingos diferenciacijos bei skirtingo amžiaus ląstelių: pirminių lapelių, šaknų, koleoptilės ir juos charakterizavome. Taip pat išskyrėme ir charakterizavome DNR fragmentus iš miežių pirminių lapelių bei vandeninės brandos ir pieninės brandos grūdų TBP-DNR kompleksų. Parodėme, kad miežių TBP baltymai yra 15-160 kDa, dauguma baltymų yra rūgštiniai. Kai kurie iš miežių TBP baltymų (10, 25, 38, 40 ir 55 kDa) pasižymi fosfataziniu, galbūt, Ser/Thr aktyvumu. Nustatėme, kad tam... [toliau žr. visą tekstą] / Despite a great deal of research, the functional significance of tightly bound DNA-protein complexes is not yet clear, therefore these complexes are perfect object for pioneering research. Very little is known about plant TBP-DNA complexes. In this work we investigated barley TBP-DNA complexes from different organs (first leaves, roots and coleoptiles) at different developmental stages. We characterized individual components of tightly bound DNA-proteins complexes: polypeptides (TBP) and DNA. We isolated and characterized TBP proteins from barley first leaves, roots and coleoptiles of different age and differentiation stage. Also we isolated and characterized the DNA fragments from barley first leaves and water ripe and milky ripe grain TBP-DNA complexes. We demonstrated that in different developmental stages of coleoptiles, first leaves and roots TBP-DNA complexes were identified as a group of 15-160 kDa proteins, most of TBPs are acidic. Some of barley TBPs (10, 25, 38, 40 and 55 kDa) exhibit phosphatase, maybe Ser/Thr activity. We have identified also that some of TBPs tyrosines were phosphorylated, this modification depends on organ and developmental stage. Identified barley TBPs were involved in fundamental genetic processes, as well as in chromatin rearrangement and regulation processes. Nuclear matrix proteins, enzymes, transcription factors, serpins, immunophilins, and transposon polypeptides were identified among TBPs. We demonstrated that expression of TBPs depends... [to full text]

Lyophilized pea chloroplasts were extracted in a stepwise manner in an organic solvent (petroleum ether) with increasing polarity which was obtained by addition of small amount of ETOH (0-1 %). Absorption and low temperature fluorescence emission spectra were measured on both the extracted thylakoids and on isolated chlorophylI-protein complexes. Extraction of chlorophyll from the membrane increased (and the ratio of chlorophyl l a/b decreased) with increasing polarity of the solvent. The gel scan revealed that after extraction with petroleum ether, CPa.. was lost from the gel and after extraction with petroleum ether +1 % ETOH only the CPa/b was left together with SDS-free chlorophyll. This shows that the chlorophyll in CPa/b are situated in a less hydrophobic environment than chlorophyll in CPa|| and CPa|. The long wavelength absorbing and emitting chlorophyll fraction associated to CPaj was found to be easily removed from the membrane. This caused a blue shift in the low temperature fluorescence emission peak and in the red absorption peak and it was also accompanied by a decrease in carote-noid absorption in isolated CPa|. It was found in different plant material lacking $-carotene in CPàj that a strong correlation between ß-carotene in CPa. and the existence of the long wavelength chlorophyll in isolated cPa. existed. Based on these data, it was suggested that excited chlorophyll can transfer energy in excess to ß-carotene by a triplet--triplet transfer.A method based on in vivo chlorophyll £ fluorescence was developed for studying photosynthetic capacity in unicellular algae. It was shown that DCMU-induced fluorescence increase was a good measure of photosynthetic capacity in four species of green algae tested.The effect of copper chloride on photosynthetic electron transport and chlorophyl1-protein complexes was studied in spinach chloroplasts. Copper(11) inhibited a PS I i reaction H2O—&gt; DPIP, a PS I reaction Asc/DPIP —&gt; NADP and the overall electron transport H2O —&gt; NAOP to different degrees. Chlorophyll protein complexes were only slightly affected by copper(ll) but with both copper and ascorbate in the reaction media, a rapid membrane destruction occurred. This was probably caused by a free radical reaction catalyzed by copper(ll). / <p>Härtill 4 delarbeten.</p> / digitalisering@umu

Os trabalhos realizados e apresentados nesta tese de doutorado compreendem diversos estudos computacionais e experimentais aplicados ao planejamento de candidados a novos fármacos para o tratamento do câncer, de uma metodologia inovadora para investigar a formação de complexos proteicos e de uma base de compostos naturais reunindo parte da biodiversidade brasileira com a finalidade de incentivar e auxiliar a descoberta e o desenvolvimento de novos fármacos no país. No primeiro capítulo, são descritos estudos que permitiram a identificação e o desenvolvimento de novas moléculas com atividade anticâncer, através da integração de ensaios bioquímicos e métodos de modelagem molecular na área de química medicinal. Dessa forma, estudos de modelagem molecular e ensaios bioquímicos utilizando uma base de compostos disponibilizada pela colaboração com o Laboratório de Síntese de Produtos Naturais e Fármacos (LSPNF) da UNICAMP, permitiram identificar uma série de moléculas da classe ciclopenta-&beta;-indóis como inibidores da polimerização de microtúbulos com considerável atividade anti-câncer. Estes compostos apresentaram-se capazes de modular a polimerização de microtúbulos em ensaios in vitro frente ao alvo molecular e a células cancerígenas, com valores de IC50 na faixa de 20 a 30 &mu;M. Além disso, estudos experimentais permitiram identificar o sítio da colchicina na tubulina como a região de interação desta classe e ensaios de migração celular comprovaram sua atividade antitumoral. A partir dos resultados obtidos, estudos mais aprofundados de docagem e dinâmica molecular permitiram elucidar as interações moleculares envolvidas no processo de ligação à proteína tubulina, e a utilização destes modelos moleculares no planejamento, síntese e avaliação de uma nova série de compostos. Com base nos dados obtidos por estudos computacionais, modificações foram propostas e novos inibidores da polimerização de tubulina foram planejados, sintetizados e avaliados, resultando na identificação de um inibidor de elevada atividade e perfil farmacodinâmico superior dentre as moléculas planejadas, com IC50 de 5 &mu;M. Concomitantemente, ensaios de citotoxicidade in vitro demostraram uma interessante seletividade destes compostos por células cancerígenas em comparação a células saudáveis. Os estudos desenvolvidos com inibidores de tubulina aqui apresentados permitiram identificar moduladores da polimerização de microtúbulos com excelente perfil anti-câncer, que servirão como modelo para o desenvolvimento de novos tratamentos eficazes contra o câncer. No segundo capítulo é apresentado um novo método para predizer modificações conformacionais e a formação de complexos multiméricos em sistemas proteicos. Este método foi elaborado durante os estudos desenvolvidos ao longo de um programa de intercâmbio no laboratório The Center for Theoretical and Biological Physics (CTBP, Rice University, Estados Unidos), sob orientação do professor Dr. José Nelson Onuchic. Durante este projeto, estudos de modelagem computacional foram realizados utilizando métodos computacionais modernos desenvolvidos no próprio CTBP, tal como o método de Análise de Acoplamento Direto (DCA, do inglês Direct-Coupling Analysis) e um método de simulação conhecido como Modelagem Baseada em Estrutura (SBM, do inglês Structure-Based Modeling). Nos estudos aqui apresentados, os métodos DCA e SBM desenvolvidos no CTBP foram combinados, modificados e ampliados no desenvolvimento de uma nova metodologia que permite identificar mudanças conformacionais e elucidar mecanismos de enovelamento e oligomerização em proteínas. Os resultados obtidos através da predição de diversos complexos proteicos multiméricos com uma alta precisão mostram que este sistema é extremamente eficaz e confiável para identificar regiões de interface de contato entre proteínas a a estrutura quaternária de complexos macromoleculares. Esta nova metodologia permite a elucidação e caracterização de sistemas proteicos incapazes de serem determinados atualmente por métodos puramente experimentais. No terceiro capítulo desta tese de doutorado, é descrito a construção de uma base virtual de dados em uma iniciativa pioneira que tem como principal objetivo reunir e disponibilizar o máximo possível de toda a informação já obtida através do estudo da biodiversidade brasileira. Esta base, intitulada NuBBE DataBase, reúne diversas informações como estrutura molecular 2D e 3D e informações de atividades biológicas de diversas moléculas já isoladas pelo Núcleo de Bioensaios Biossíntese e Ecofisiologia de Produtos Naturais (NuBBE), localizado na Universidade Estadual Paulista Júlio de Mesquita Filho (UNESP). A NuBBEDB será de grande utilidade para a comunidade científica, fornecendo a centros de pesquisa e indústrias farmacêuticas informações para estudos de modelagem molecular, metabolômica, derreplicação e principalmente para o planejamento e a identificação de novos compostos bioativos. / The work developed during a doctorate program and shown here as a PhD thesis reports the accomplishment of a series of computational and experimental studies focused on the development of new anticancer agents, an innovative methodology for the investigation of protein complexes formation and of a new database for natural products based on the Brazilian biodiversity, in an effort to assist and encourage the discovery and development of new pharmaceutical drugs inside country. The first chapter describes studies that resulted in the identification and development of new molecules with anticancer activity through the integration of biochemical experiments and molecular modeling methods in the area of medicinal chemistry. Thus, molecular modeling studies and biochemical assays using a library of compounds provided by collaboration with the Laboratório de Síntese de Produtos Naturais e Fármacos (LSPNF) from the University of Campinas (Unicamp) have identified a number of molecules of the cyclopenta-b-indole class as inhibitors for microtubule polymerisation, with substantial anti-cancer activity. These compounds showed to be able to modulate microtubule polymerisation on in vitro assays against the molecular target and cancer cells with IC50 values in the range of 20 to 30 &mu;M. Moreover, experimental studies have identified the colchicine site of tubulin as in the region of interaction of this class and cell migration assays have proven their antitumour activity. Based on these results, further studies using molecular docking and molecular dynamics allowed to elucidate the molecular interactions involved in the binding process to tubulin protein, and these molecular models were used to guide the design, synthesis and evaluation of a novel series of compounds. From the data obtained by computational studies, modifications were proposed to design, synthesise and evaluate new tubulin polymerisation inhibitors, resulting in identification of a high-activity inhibitor and superior pharmacodynamic profile and IC50 of 5 &mu;M. Alongside, in vitro cytotoxicity assays demonstrated an interesting selectivity of these compounds for cancer cells when compared to healthy cells. The studies presented here with tubulin inhibitors allowed to identify modulators of microtubule polymerisation with excellent anti-cancer profile, that will provide a valuable scaffold for the development of new effective treatments against cancer. The second chapter presents a new method for predicting changes on the conformational and the formation of multimeric protein complexes. This method was developed during the studies carried out over an exchange program in the Center for Theoretical and Biological Physics (CTBT, Rice University, USA), under the supervision of professor Dr. José Nelson Onuchic. During this project, computer modeling studies were carried using modern methods developed in the CTBT itself, such as Direct-Coupling Analysis (DCA) and a simulation method known as Modeling Based Structure (SBM). In the studies presented here, the DCA and SBM methods developed in CTBP were combined, modified and expanded to develop a new methodology able to identify the conformational changes and to elucidate mechanisms folding and oligomerization of proteins. The results obtained through prediction of various multimeric protein complexes with high accuracy show that this system is extremely effective and reliable to identify interface contacts between proteins and to predict the quaternary structure of macromolecular complexes. This new method allows the characterization and elucidation of protein systems that are currently unable to be solely determined by experimental methods. The third chapter of this doctoral thesis describes the construction of a virtual database in a pioneering initiative that aims to gather and make available all the information already obtained through the study of Brazilian biodiversity. This database, entitled NuBBE DataBase, brings together various information such as 2D and 3D molecular structure and biological activity of several molecules already isolated by the Núcleo de Bioensaios Biossíntese e Ecofisiologia de Produtos Naturais(NuBBE), located at the Universidade Estadual Paulista Julio de Mesquita Filho (UNESP). The NuBBEDB will be useful to the scientific community, providing research and pharmaceutical centers information for molecular modeling studies, metabolomics, derreplication and principally for the planning and identification of new bioactive compounds.

Harvesting solar energy can potentially be a promising solution to the energy crisis now and in the future. However, material and processing costs continue to be the most important limitations for the commercial devices. A key solution to these problems might lie within the development of bio-hybrid solar cells that seeks to mimic photosynthesis to harvest solar energy and to take advantage of the low material costs, negative carbon footprint, and material abundance. The bio-photoelectrochemical cell technologies exploit biomimetic means of energy conversion by utilizing plant-derived photosystems which can be inexpensive and ultimately the most sustainable alternative. Plants and photosynthetic bacteria harvest light, through special proteins called reaction centers (RCs), with high efficiency and convert it into electrochemical energy. In theory, photosynthetic RCs can be used in a device to harvest solar energy and generate 1.1 V open circuit voltage and ~1 mA cm-2 short circuit photocurrent. Considering the nearly perfect quantum yield of photo-induced charge separation, efficiency of a protein-based solar cell might exceed 20%. In practice, the efficiency of fabricated devices has been limited mainly due to the challenges in the electron transfer between the protein complex and the device electrodes as well as limited light absorption. The overarching goal of this work is to increase the power conversion efficiency in protein-based solar cells by addressing those issues (i.e. electron transfer and light absorption). This work presents several approaches to increase the charge transfer rate between the photosynthetic RC and underlying electrode as well as increasing the light absorption to eventually enhance the external quantum efficiency (EQE) of bio-hybrid solar cells. The first approach is to decrease the electron transfer distance between one of the redox active sites in the RC and the underlying electrode by direct attachment of the of protein complex onto Au electrodes via surface exposed cysteine residues. This resulted in photocurrent densities as large as ~600 nA cm-2 while still the incident photon to generated electron quantum efficiency was as low as %3 × 10-4. 2- The second approach is to immobilize wild type RCs of Rhodobacter sphaeroides on the surface of a Au underlying electrode using self-assembled monolayers of carboxylic acid terminated oligomers and cytochrome c charge mediating layers, with a preferential orientation from the primary electron donor site. This approach resulted in EQE of up to 0.06%, which showed 200 times efficiency improvement comparing to the first approach. In the third approach, instead of isolated protein complexes, RCs plus light harvesting (LH) complexes were employed for a better photon absorption. Direct attachment of RC-LH1 complexes on Au working electrodes, resulted in 0.21% EQE which showed 3.5 times efficiency improvement over the second approach (700 times higher than the first approach). The main impact of this work is the harnessing of biological RCs for efficient energy harvesting in man-made structures. Specifically, the results in this work will advance the application of RCs in devices for energy harvesting and will enable a better understanding of bio and nanomaterial interfaces, thereby advancing the application of biological materials in electronic devices. At the end, this work offers general guidelines that can serve to improve the performance of bio-hybrid solar cells.

Correct functioning of the brain relies upon the precise connectivity between the billions of neurons that make up this crucial organ. Aberrations in the formation of these elaborate neural networks lead to neurodegenerative and neuropsychiatric disorders. A synapse-spanning molecular triad, involving members of the Neurexin, Cbln and ionotropic glutamate receptor delta families of proteins, is crucial for the accurate formation and proper function of synapses in the cerebellum. This trans-synaptic complex has been implicated in the molecular mechanisms behind motor control and motor learning, and furthermore individual members have been linked to diseases such as Alzheimer’s, autism spectrum disorders and schizophrenia. The major findings presented in this thesis include: crystal structures of the amino-terminal domains (ATD) of the two members of the ionotropic glutamate receptor delta (iGluR-Delta) family, functional characterisation of the effects of disrupting the ATD interface in one member of the iGluR-Delta family, a crystal structure of the C1q domain of Cbln1, biophysical analysis of the molecular interactions within the Neurexin-Cbln1-GluD2 trans-synaptic complex, as well as evidence for the domain arrangement of the ecto-domain of the iGluR-Delta proteins. Together, these data enhance our knowledge of the molecular details of this macro-molecular complex and provide evidence to support models for the mechanisms of their involvement in synapse formation and function, thereby making a contribution to the vast and medically relevant field of molecular neurobiology.

Mutual Information (MI) based methods are used to predict contact residues within proteins and between interacting proteins. There have been many high impact papers citing the successful use of MI for determining contact residues in a particular protein of interest, or in certain types of proteins, such as homotrimers. In this dissertation we have carried out a systematic study to assess if this popularly employed contact prediction tool is useful on a global scale. After testing original MI and leading MI based methods on large, cross-species datasets we found that in general the performance of these methods for predicting contact residues both within (intra-protein) and between proteins (inter-protein) is weak. We observe that all MI variants have a bias towards surface residues, and therefore predict surface residues instead of contact residues. This finding is in contrast to the relatively good performance of i-Patch (Hamer et al. [2010]), a statistical scoring tool for inter-protein contact prediction. i-Patch uses as input surface residues only, groups amino acids by physiochemical properties, and assumes the existence of patches of contact residues on interacting proteins. We examine whether using these ideas would improve the performance of MI. Since inter-protein contact residues are only on the surface of each protein, to disentangle surface from contact prediction we filtered out the confounding buried residues. We observed that considering surface residues only does indeed improve the interprotein contact prediction ability of all tested MI methods. We examined a specific "successful" case study in the literature and demonstrated that here, even when considering surface residues only, the most accurate MI based inter-protein contact predictor,MIc, performs no better than random. We have developed two novel MI variants; the first groups amino acids by their physiochemical properties, and the second considers patches of residues on the interacting proteins. In our analyses these new variants highlight the delicate trade-off between signal and noise that must be achieved when using MI for inter-protein contact prediction. The input for all tested MI methods is a multiple sequence alignment of homologous proteins. In a further attempt to understand why the MI methods perform poorly, we have investigated the influence of gaps in the alignment on intra-protein contact prediction. Our results suggest that depending on the evaluation criteria and the alignment construction algorithm employed, a gap cutoff of around 10% would maximise the performance of MI methods, whereas the popularly employed 0% gap cutoff may lead to predictions that are no better than random guesses. Based on the insight we have gained through our analyses, we end this dissertation by identifying a number of ways in which the contact residue prediction ability of MI variants may be improved, including direct coupling analysis.

No description available.

Proteins are fundamental structural, enzymatic and regulatory components of cells. Analysis of proteins, such as by measuring their concentrations, characterizing their modifications, and detecting their interactions, provides insights in how biological systems work physiologically or pathologically at the molecular level. To perform such analysis, molecular tools with good sensitivity, specificity, high multiplexing and throughput capacity are needed. In this thesis, four different assays were developed and applied to detect and profile proteins and protein complexes in human body fluids, and in cells or tissues. These assays are based on targeting proteins or protein complexes by oligonucleotide-conjugated antibodies, and subsequent proximity dependent enzymatic reactions involving the attached DNA reporter sequences. In paper I, a solid-phase proximity ligation assay (SP-PLA) was applied to detect synthetic and endogenous amyloid beta protofibrils. The SP-PLA provided better sensitivity and increased dynamic range than a traditional enzyme-linked immunosorbent assay (ELISA). In paper II, in situ PLA was applied to investigate the correlation between MARK2-dependent phosphorylation of tau and Alzheimer’s disease. Greater numbers of MARK2-tau interactions and of phosphorylated tau proteins were observed in brain tissues from Alzheimer’s patients than in healthy controls. In paper III, a multiplex SP-PLA was applied to identify protein biomarker candidates in amyotrophic lateral sclerosis (ALS) disease and in the analgesic mechanism of spinal cord stimulation (SCS). Among 47 proteins in human cerebrospinal fluid (CSF) samples, four were found at significantly lower concentrations (p-values &lt; 0.001) in the samples from ALS patients compared to those from healthy controls (follistatin, IL-1α, IL-1β, and KLK5). No significant changes of the analyzed proteins were found in the CSF samples of neuropathic pain patients in   the stimulated vs. non-stimulated condition using SCS. In paper IV, a new technology termed the proximity barcoding assay (PBA) was developed to profile individual protein complexes. The performance of PBA was demonstrated on artificially assembled streptavidin-biotin oligonucleotide complexes. PBA was also proven to be capable of profiling transcriptional pre-initiation complexes from nuclear extract of a hepatic cell line.

Proteins and the formation of large protein complexes are essential parts of living organisms. Proteins are present in all aspects of life processes, performing a multitude of various functions ranging from being structural components of cells, to facilitating the passage of certain molecules between various regions of cells. The 'protein docking problem' refers to the computational method of predicting the appropriate matching pair of a protein (receptor) with respect to another protein (ligand), when attempting to bind to one another to form a stable complex. Research shows that matching the three-dimensional (3D) geometric structures of candidate proteins plays a key role in determining a so-called docking pair, which is one of the key aspects of the Computer Aided Drug Design process. However, the active sites which are responsible for binding do not always present a rigid-body shape matching problem. Rather, they may undergo sufficient deformation when docking occurs, which complicates the problem of finding a match. To address this issue, we present an isometry-invariant and topologically robust partial shape matching method for finding complementary protein binding sites, which we call the ProtoDock algorithm. The ProtoDock algorithm comes in two variations. The first version performs a partial shape complementarity matching by initially segmenting the underlying protein object mesh into smaller portions using a spectral mesh segmentation approach. The Heat Kernel Signature (HKS), the underlying basis of our shape descriptor, is subsequently computed for the obtained segments. A final descriptor vector is constructed from the Heat Kernel Signatures and used as the basis for the segment matching. The three different descriptor methods employed are, the accepted Bag of Features (BoF) technique, and our two novel approaches, Closest Medoid Set (CMS) and Medoid Set Average (MSA). The second variation of our ProtoDock algorithm aims to perform the partial matching by utilizing the pointwise HKS descriptors. The use of the pointwise HKS is mainly motivated by the suggestion that, at adequate times, the Heat Kernel Signature of a point on a surface sufficiently describes its neighbourhood. Hence, the HKS of a point may serve as the representative descriptor of its given region of which it forms a part. We propose three (3) sampling methods---Uniform, Random, and Segment-based Random sampling---for selecting these points for the partial matching. Random and Segment-based Random sampling both prove superior to the Uniform sampling method. Our experimental results, run against the Protein-Protein Benchmark 4.0, demonstrate the viability of our approach, in that, it successfully returns known binding segments for known pairing proteins. Furthermore, our ProtoDock-1 algorithm still still yields good results for low resolution protein meshes. This results in even faster processing and matching times with sufficiently reduced computational requirements when obtaining the HKS.

Με την αλληλούχιση του ανθρώπινου γονιδιώματος αλλά και άλλων οργανισμών, μια νέα εποχή άρχισε για την επιστήμη της βιολογίας, γνωστή ως "μεταγονιδιωματική εποχή". Ο όρος σε καμιά περίπτωση δεν σηματοδοτεί το τέλος της αλληλούχισης ή της ανάλυσης των ήδη αλληλουχημένων γονιδιωμάτων, απλά δηλώνει πως οι τεχνικοί περιορισμοί για την ανίχνευση γονιδιωματικής πληροφορίας έχουν σε μεγάλο βαθμό αντιμετωπισθεί . Η επόμενη μεγάλη πρόκληση είναι η κατανόηση του πρωτεόματος, δηλαδή του συνόλου των πρωτεϊνών που εκφράζονται σε ένα κύτταρο. Εξαιρετικά σημαντικό βήμα προς την κατεύθυνση αυτή αποτελεί η μελέτη του δικτύου των πρωτεϊνικών αλληλεπιδράσεων. Οι πρωτεϊνικές αλληλεπιδράσεις αποτελούν ένα ιδιαίτερα σημαντικό πεδίο έρευνας καθώς ρυθμίζουν ένα τεράστιο αριθμό διεργασιών οι οποίες είναι βασικές για τη δομή και τη λειτουργία του. Εκτιμάται πως το δίκτυο των πρωτεϊνικών αλληλεπιδράσεων στον άνθρωπο αφορά περίπου 130,000 ζεύγη αλληλεπιδράσεων, ενώ ο αριθμός των αλληλεπιδράσεων που έχουν ταυτοποιηθεί αλλά παραμένει ως ζητούμενο η επιβεβαίωση των αντίστοιχων πειραματικών αποτελεσμάτων, αποτελεί μόνο το 8%, περίπου, του πραγματικού δικτύου. Ο κύριος όγκος πληροφορίας στο πεδίο αυτό δίνεται μέσα από βάσεις δεδομένων και έρχεται από μεγάλης κλίμακας πειράματα υψηλής απόδοσης τα οποία όμως, έχει βρεθεί πως δίνουν σε μεγάλο ποσοστό ανακριβή αποτελέσματα εξ αιτίας μιας σειράς εγγενών προβλημάτων των μεθόδων και της φύσεως των πρωτεϊνών. Η εκτίμηση του πραγματικού μεγέθους του δικτύου των πρωτεϊνικών αλληλεπιδράσεων υποδεικνύει και τον όγκο των δεδομένων που θα παραχθεί στο εγγύς μέλλον αλλά και την ανάγκη για βελτίωση της αξιοπιστίας της πληροφορίας που διατίθεται στις σχετικές βάσεις δεδομένων. Σκοπός αυτής της εργασίας είναι η ανάπτυξη μιας αναλυτικής βάσης δεδομένων γνώσης για την ταυτοποίηση δικτύων πρωτεϊνικών αλληλεπιδράσεων αντλώντας πληροφορία από επιλεγμένες μετά από αξιολόγηση, δημόσιες βάσεις πρωτεϊνικών αλληλεπιδράσεων. Η συλλογή αυτή της πληροφορίας θα οδηγήσει μεσοπρόθεσμα στη δημιουργία μιας βάσης δεδομένων για τη διαχείριση της συλλογής, της οργάνωσης και της ανάκτησης δεδομένων πρωτεϊνικών αλληλεπιδράσεων όπου κατάλληλα υπολογιστικά εργαλεία θα αναπτυχθούν ώστε να αξιολογηθεί ο βαθμός αξιοπιστίας της καταχωρημένης σχετικής πληροφορίας σε μια μεγάλη ομάδα δημόσιων γονιδιωματικών βάσεων δεδομένων. Επίσης θα υπάρξει η δυνατότητα χρήσης εργαλείων για την ανάλυση των αξιολογημένων δεδομένων πρωτεϊνικών αλληλεπιδράσεων, την μελέτη πρωτεϊνών με άγνωστη λειτουργία αλλά και τον προσδιορισμό μη καταγεγραμμένων έως τώρα πρωτεϊνικών συμπλεγμάτων. / The elucidation of protein-protein interaction (PPI) networks (protein interactomes) is a major objective of systems biology. This task is crucial for furthering our understanding of the cellular machinery dynamics, in light of the fundamental role of proteins in cellular function. The development of high-throughput methods for PPI identification, including the widely used yeast two hybrid and the mass spectrometry of co-immunoprecipitated complexes, drastically increased the PPI data in model organisms and the human. However, these methods suffer from intrinsic detection biases and >70% of false positives. Moreover, independent public databases (dbs) of experimentally derived PPIs exhibit a remarkably limited overlap, mainly due to uncoordinated data validation and curation criteria. These limitations scale up in highly complex systems like the human for which only 8-10% of the estimated PPIs have been determined. Furthermore, new PPI prediction is affected by the current data quality and quantity along with predictive algorithm limitations to incorporate the available protein information. Thus, there is initially a need for a systematic curation of multiple datasets into one common db. We have integrated high- and low- throughput experimental data, ortholog protein interactions, protein domain interactions, and protein structure/function and expression data from twelve highly informative and updated dbs into one local db using the Microsoft_SQL_Server. The db selection was based on their unique gene content, PPIs recorded, annotation depth, curation methodology and relational scheme. This data will be enriched with PPI information mined from the literature. The final dataset will be appropriately scored to rank and validate the PPIs with increased confidence, forming the basis for a human interactome knowledge base.