Protein-Protein Interactions and Disease

Rao, Aditya; Bulusu, Gopalakrishnan; Srinivasan, R.; Joseph, Thomas

doi:10.5772/38299

Cited by 2 publications

(2 citation statements)

References 48 publications

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“…Studies have been carried out where sequence features such as cDNA, number of exons, protein size were investigated between set of genes known to be involved in hereditary disease and those not (López-Bigas and Ouzounis 2004; Adie et al 2006). Functional annotation shared between known diseases genes had also been used to design a classifier (Rao et al 2012). The classification based on genomic sequences have disadvantages associated with them, as algorithms which are based on functional annotations are inherently biased towards a particular known subset of genes.…”

Section: Discussionmentioning

confidence: 99%

CARDIO-PRED: an in silico tool for predicting cardiovascular-disorder associated proteins

et al. 2015

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Interactions between proteins largely govern cellular processes and this has led to numerous efforts culminating in enormous information related to the proteins, their interactions and the function which is determined by their interactions. The main concern of the present study is to present interface analysis of cardiovascular-disorder (CVD) related proteins to shed lights on details of interactions and to emphasize the importance of using structures in network studies. This study combines the network-centred approach with three dimensional studies to comprehend the fundamentals of biology. Interface properties were used as descriptors to classify the CVD associated proteins and non-CVD associated proteins. Machine learning algorithm was used to generate a classifier based on the training set which was then used to predict potential CVD related proteins from a set of polymorphic proteins which are not known to be involved in any disease. Among several classifying algorithms applied to generate models, best performance was achieved using Random Forest with an accuracy of 69.5 %. The tool named CARDIO-PRED, based on the prediction model is present at http://www.genomeinformatics.dce.edu/CARDIO-PRED/. The predicted CVD related proteins may not be the causing factor of particular disease but can be involved in pathways and reactions yet unknown to us thus permitting a more rational analysis of disease mechanism. Study of their interactions with other proteins can significantly improve our understanding of the molecular mechanism of diseases.

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Section: Discussionmentioning

confidence: 99%

CARDIO-PRED: an in silico tool for predicting cardiovascular-disorder associated proteins

et al. 2015

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“…These basic interactions are necessary for a myriad of functions such as kinase signaling, receptor binding, proteolytic digestion, apoptosis regulation, and antigen-antibody interactions [3,4]. Disruptions in the protein interaction networks (PINs) as a result of PPI inhibition have been shown to cause several diseases where either single or multiple biochemical pathways are affected [5]. Owing to their fundamental roles in almost every process imaginable, PPIs have emerged as attractive therapeutic targets in several diseases.…”

Section: Ppis: the Basicsmentioning

confidence: 99%

Protein-Protein Interactions in Malaria: Emerging Arena for Future Chemotherapeutics

Pasupureddy¹,

Seshadri²,

Dixit³

et al. 2020

Parasitology and Microbiology Research

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Malaria is one of the most deadly diseases infecting humans. Advances in elimination and vector control have reduced the global malaria burden in the past decade; however, the emerging threat of drug resistance and suboptimal vaccine efficacies threaten global eradication efforts. Unlocking novel drug and vaccine targets while simultaneously mitigating spread of resistant strains seems to be the need of the hour. Protein-protein interactions (PPIs), an integral part of hostpathogen cross-talk and parasite survival, have only recently emerged as promising drug targets. Large PPI networks (interactome) are being developed to better our understanding of various parasite biochemical pathways. In this chapter, we throw light on several newly characterized protein-protein interactions between the host (humans) and parasite (plasmodium) in key processes such as hemoglobin degradation, enzyme regulation, protein export, egress, invasion, and drug resistance and further discuss their viability for development as novel chemotherapeutic targets.

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Protein-Protein Interactions and Disease

Cited by 2 publications

References 48 publications

CARDIO-PRED: an in silico tool for predicting cardiovascular-disorder associated proteins

CARDIO-PRED: an in silico tool for predicting cardiovascular-disorder associated proteins

Protein-Protein Interactions in Malaria: Emerging Arena for Future Chemotherapeutics

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