There is currently a large increase in the speed of production of DNA sequence data as next generation sequencing technologies become more widespread. As such there is a need for rapid computational techniques to functionally annotate data as it is generated. One computational method for the functional annotation of protein-coding genes is via detection of interaction partners. If the putative partner has a functional annotation then this annotation can be extended to the initial protein via the established principle of “guilt by association”. This work presents a method for rapid detection of functional interaction partners for proteins through the use of the comparative method. Functional links are sought between proteins through analysis of their patterns of presence and absence amongst a set of 54 eukaryotic organisms. These links can be either direct or indirect protein interactions. These patterns are analysed in the context of a phylogenetic tree. The method used is a heuristic combination of an established accurate methodology involving comparison of models of evolution the parameters of which are estimated using maximum likelihood, with a novel technique involving the reconstruction of ancestral states using Dollo parsimony and analysis of these reconstructions through the use of logistic regression. The methodology achieves comparable specificity to the use of gene coexpression as a means to predict functional linkage between proteins. The application of this method permitted a genome-wide analysis of the human genome, which would have otherwise demanded a potentially prohibitive amount of computational resource. Proteins within the human genome were clustered into orthologous groups. 10 of these proteins, which were ubiquitous across all 54 eukaryotes, were used to reconstruct a phylogeny. An application of the heuristic predicted a set of functional protein interactions in human cells. 1,142 functional interactions were predicted. Of these predictions 1,131 were not present in current protein-protein interaction databases.

Hepatitis C virus (HCV), a blood-borne pathogen, is a small enveloped RNA virus belonging to the Hepacivirus genus of the Flaviviridae family. HCV infection represents one of the major health concerns affecting approximately 170 million people globally. Patients with chronic HCV infection are at risk of developing hepatic fibrosis, cirrhosis and hepatocellular carcinoma. No protective anti-HCV vaccine is available yet. Until recently, standard therapy based on pegylated interferon plus ribavirin, was inadequate in treating all the patients as it results in a sustained virological response in only 40 to 50 percent of patients infected with the most common genotype (gt 1). Advances in understanding host-HCV interactions have helped developing newer anti-HCV agents such as telaprevir and boceprevir. However, treatment success is still limited due to different factors including genotype specificity, high cost, potential drug-drug interactions, substantial side effects etc. The positive-sense single-stranded RNA genome of HCV is approximately 9.6kb long which is flanked by highly structured and conserved 5’ and 3’ untranslated regions (UTRs) at both ends. Unlike cap-dependent translation of host cell mRNAs, HCV translation is mediated by an internal ribosomal entry site (IRES) present majorly within the 5’UTR. Several reports have demonstrated the interaction of different cellular proteins with HCV-5’UTR and/or 3’UTR, which include human La protein, polypyrimidine tract binding protein (PTB), poly (rC)-binding protein 2 (PCBP2) etc. These interactions of trans-acting factors with the UTRs may be important for HCV translation and/or replication. Earlier study from our laboratory revealed the importance of interaction of human La protein, by its central RNA recognition motif (RRM), with the HCV IRES around a tetranucleotide sequence GCAC near initiator AUG in influencing HCV translation. However, the role of this interaction, if any, in HCV RNA replication was not known. In the first part of the thesis, we characterized the interaction between human La protein and the GCAC to understand its role in HCV replication. We incorporated mutation, which altered the binding of La, in the GCAC motif in HCV monocistronic replicon and checked HCV RNA replication by reverse transcriptase polymerase chain reaction (RT-PCR). The mutation drastically inhibited HCV replication. Interestingly, overexpression of La could reverse the effect of this mutation and significantly enhanced HCV RNA levels. Using a bicistronic replicon, we observed that decrease in replication was independent of translation inhibition. Furthermore, mutation at the GCAC motif reduced the association between La and viral polymerase, NS5B as seen in co-immunoprecipitation assays. Moreover, this mutation affected translation to replication switch regulated by the interplay between HCV-NS3 protease and human La protein. Our analyses of point mutations, based on RT-PCR and luciferase assays, revealed distinct roles of each nucleotide of the GCAC motif in HCV replication and translation. Finally, 5’-3’ crosslink assays revealed that specific interaction of the GCAC motif with human La protein is important for linking 5’ and 3’ends of HCV genome. Results clearly demonstrate the mechanism of regulation of HCV replication by interaction of cis-acting element GCAC within the HCV IRES with human La protein. HCV is highly species-specific. Under natural conditions, HCV infects only humans and chimpanzees. This restricted host-tropism has prevented the development of a small animal model to study HCV infection in vivo. Although several human-specific entry factors have been identified to be responsible for this species selectivity, full multiplication of the HCV in animals (other than humans and chimpanzees) is still not possible. In the second part of the thesis, we showed that a post-entry host factor –‘La protein’ may also contribute in determining HCV host tropism. We aligned La protein sequences from different species and interestingly we found that HCV RNA interacting beta-turn sequence (KYKETDL) in central RRM (residues 112-184) is conserved only in human and chimpanzee. Earlier, it was shown from our laboratory that a heptameric peptide comprising of this sequence (derived from human La) could inhibit HCV translation by competing with La interaction with the IRES element. However, in the current study, another peptide corresponding to the mouse La sequence (KYKDTNL) was unable to inhibit HCV RNA translation. Similarly, wild-type mouse La (mLa) failed to stimulate HCV IRES function, but addition of chimeric mouse La protein bearing human beta-turn sequence (mLahN7) significantly increased HCV IRES mediated translation in vitro. Also, exogenous supplementation of mLahN7 enhanced HCV translation in cell culture system. Moreover, quantitative as well as tagged RT-PCR analyses showed an enhanced HCV replication upon overexpression of mLahN7. The findings obtained in this part raise a possibility of creating HCV mouse model using human specific cellular entry factors and a humanized form of La protein. Hepatitis C has emerged as a major challenge to the medical community. Developing more potent and safe anti-HCV regimens is need of the hour. As described above, a linear hepatapeptide (KYKETDL) was synthesized and shown to reduce HCV translation. However, this linear peptide was stable only for a shorter time scale. Therefore, in the third part of the thesis, effect of a more stable cyclic form of this peptide has been described. NMR spectroscopy suggested that the beta turn conformation is preserved in cyclic peptide as well. Also, using in vitro bicistronic reporter assay, we demonstrated that cyclic peptide inhibits HCV translation in a dose dependent manner. In fact, due to its higher stability, cyclic peptide reduced HCV translation and replication more efficiently than the corresponding linear peptide at longer post-treatment time point. Additionally, we observed that cyclic peptide is non-toxic in cell culture system. Our results suggest that cyclic peptide might emerge as a promising lead compound against hepatitis C. Due to availability of only partially effective liver protective drugs in modem medicine, complementary and alternative medicine approach, based on plant derived compounds, is also being utilised against HCV. Plant derived compounds have advantages of having high chemical diversity, drug-likeliness properties and ability of being metabolized by the body with little or no toxicity than synthetic ones. Different studies have shown that phytochemicals may exert anti-HCV activities by acting as direct-acting antivirals and play a potential therapeutic role in treating HCV infection. Also, from our laboratory, it was shown that methanolic extract of Phyllanthus amarus (P. amarus) plant inhibited HCV replication. The fourth part of the thesis describes the study on the anti-HCV properties of several bioactive components from P. amarus extract. Using a fluorimetric assay, we demonstrated that two principal components of this extract, phyllanthin and corilagin reduced the HCV NS3 protease activity significantly in vitro. We also observed a sharp reduction in HCV negative sense RNA levels in cell culture system. Structural knowledge-based molecular docking studies showed interactions of phyllanthin and corilagin with the amino acid residues of the catalytic triad of NS3 protease. Further, these compounds were found to be non-toxic in cell culture. Also, phyllanthin and corilagin displayed antioxidant properties by blocking HCV induced oxidative stress generated by reactive oxygen species suggesting their hepatoprotective nature. More importantly, our in vivo toxicity analyses and pharmacokinetics studies proved their safety, tolerability, metabolic stability, and systemic oral bioavailability and support their potential as novel anti-HCV therapeutic candidates. Altogether, the study deciphers mechanistic details of translation and replication of HCV RNA and demonstrates novel antiviral agents targeting these important viral processes.

Unravelling the regulators of translation and replication of Hepatitis C virus Hepatitis C virus (HCV) is a positive sense, single stranded RNA virus belonging to the genus Hepacivirus and the family Flaviviridae. It infects human liver cells predominantly. Although, the treatment with α interferon and ribavirin can control HCV in some cases, they fail to achieve sustained virological response in others, thus emphasizing the need of novel therapeutic targets. The viral genome is 9.6 kb long consisting of a 5’ untranslated region (5’UTR), a long open reading frame (ORF) that encodes the viral proteins and the 3’ untranslated region (3’UTR). The 5’UTR contains a cis acting element, the internal ribosome entry site (IRES) that mediates the internal initiation of translation. The HCV 5’UTR is highly structured and consists of four major stem-loops (SL) and a pseudoknot structure. HCV proteins are synthesized by the IRES mediated translation of the viral RNA, which is the initial obligatory step after infection. The viral proteins are synthesized in the form of a long continuous chain of proteins, the polyprotein, which is then processed by the host cell and the viral proteases. Once viral proteins are synthesized sufficiently, the viral RNA is replicated. However the mechanism of switch from translation to viral RNA replication is not well understood. Several host proteins as well as the viral proteins help in the completion of various steps in the HCV life cycle. In this thesis, the role of two such factors in HCV RNA translation and replication has been characterized and exploited to develop anti-HCV peptides. The HCV proteins are categorized into two major classes based on the functions broadly: the non structural and the structural proteins. HCV NS3 protein (one of the viral non structural proteins) plays a central role in viral polyprotein processing and RNA replication. In the first part of the thesis, it has been demonstrated that the NS3 protease (NS3pro) domain alone can specifically bind to HCV-IRES RNA, predominantly in the SLIV region. The cleavage activity of the NS3 protease domain is reduced upon HCV-RNA binding owing to the participation of the catalytic triad residue (Ser 139) in this RNA protein interaction. More importantly, NS3pro binding to the SLIV region hinders the interaction of La protein, a cellular IRES-trans acting factor required for HCV IRES-mediated translation, thus resulting in the inhibition of HCV-IRES activity. Moreover excess La protein could rescue the inhibition caused by the NS3 protease. Additionally it was observed that the NS3 protease and human La protein could out-compete each other for binding to the HCV SL IV region indicating that these two proteins share the binding region near the initiator AUG which was further confirmed using RNase T1 foot printing assay. Although an over expression of NS3pro as well as the full length NS3 protein decreased the level of HCV IRES mediated translation in the cells, replication of HCV RNA was enhanced significantly. These observations suggested that the NS3pro binding to HCV IRES reduces translation in favour of RNA replication. The competition between the host factor (La) and the viral protein (NS3) for binding to HCV IRES might contribute in the regulation of the molecular switch from translation to replication of HCV. In the second part the interaction of NS3 protease and HCV IRES has been elucidated in detail and the insights obtained were used to target HCV RNA function. Computational approach was used to predict the putative amino acid residues within the protease that might be involved in the interaction with the HCV IRES. Based on the predictions a 30-mer peptide (NS3proC-30) was designed from the RNA binding region. This peptide retained the RNA binding ability and also inhibited IRES mediated translation. The NS3proC-30 peptide was further shortened to 15-mer length (NS3proC-C15) and demonstrated ex vivo its ability to inhibit translation as well as replication. Additionally, its activity was tested in vivo in a mice model by encapsulating the peptide in Sendai virus based virosome followed by preferential delivery in mice liver. This virosome derived from Sendai virus F protein has terminal galactose moiety that interacts with the asialoglycoprotein receptor on the hepatocytes leading to membrane fusion and release of contents inside the cell. Results suggested that this peptide can be used as a potent anti-HCV agent. It has been shown earlier from our laboratory, that La protein interacts with HCVIRES near initiator AUG at GCAC motif by its central RNA recognition motif, the RRM2 (residues 112-184). A 24 mer peptide derived from this RRM2 of La (LaR2C) retained RNA binding ability and inhibited HCV RNA translation. NMR spectroscopy of the HCV-IRES bound peptide complex revealed putative contact points, mutations at which showed reduced RNA binding and translation inhibitory activity. The residues responsible for RNA recognition were found to form a turn in the RRM2 structure. A 7-mer peptide (LaR2C-N7) comprising this turn showed significant translation inhibitory activity. The bound structure of the peptide inferred from transferred NOE (Nuclear Overhauser Effect) experiments suggested it to be a βturn. Interestingly, addition of hexa-arginine tag enabled the peptide to enter Huh7 cells and showed inhibition HCV-IRES function. More importantly, the peptide significantly inhibited replication of HCVRNA. Smaller forms of this peptide however failed to show significant inhibition of HCV RNA functions suggesting that the 7-mer peptide as the smallest but efficient anti-HCV peptide from the second RNA recognition motif of the human La protein. Further, combinations of the LaR2C-N7 and NS3proC-C15 peptide showed better inhibitory activity. Both the peptides were found to be interacting at similar regions of SLIV around the initiator AUG. The two approaches have the potential to block the HCV RNA-directed translation by targeting the host factor and a viral protein, and thus can be tried in combination as a multi drug approach to combat HCV infection. Taken together, the study reveals important insights about the complex regulation of the HCV RNA translation and replication by the host protein La and viral NS3 protein. The interaction of the NS3 protein with the SLIV of HCV IRES leads to dislodging of the human La protein to inhibit the translation in favour of the RNA replication. These two proteins thus act as the regulators of the translation and the replication of viral RNA. The peptides derived from these regulators in turn regulate the functions of these proteins and inhibit the HCV RNA functions.

Perturbation experiments for example using RNA interference (RNAi) offer an attractive way to elucidate gene function in a high throughput fashion. The placement of hit genes in their functional context and the inference of underlying networks from such data, however, are challenging tasks. One of the problems in network inference is the exponential number of possible network topologies for a given number of genes. Here, we introduce a novel mathematical approach to address this question. We formulate network inference as a linear optimization problem, which can be solved efficiently even for large-scale systems. We use simulated data to evaluate our approach, and show improved performance in particular on larger networks over state-of-the art methods. We achieve increased sensitivity and specificity, as well as a significant reduction in computing time. Furthermore, we show superior performance on noisy data. We then apply our approach to study the intracellular signaling of human primary nave CD4+ T-cells, as well as ErbB signaling in trastuzumab resistant breast cancer cells. In both cases, our approach recovers known interactions and points to additional relevant processes. In ErbB signaling, our results predict an important role of negative and positive feedback in controlling the cell cycle progression.