Skip NavigationSkip to Content
Return Return to Search Results

Interface-Based Structural Prediction of Novel Host-Pathogen Interactions

  1. Author:
    Guven-Maiorov, Emine
    Tsai, Chung-Jung
    Ma, Buyong
    Nussinov, Ruth

  2. Author Address

    Cancer and Inflammation Program, Leidos Biomedical Research, Inc. Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA., Cancer and Inflammation Program, Leidos Biomedical Research, Inc. Frederick National Laboratory for Cancer Research, National Cancer Institute, Frederick, MD, USA. nussinor@mail.nih.gov., Department of Human Genetics and Molecular Medicine, Sackler Inst. of Molecular Medicine, Sackler School of Medicine, Tel Aviv University, Tel Aviv, Israel. nussinor@mail.nih.gov.,
    1. Year: 2019
  2. Journal: Methods in molecular biology (Clifton, N.J.)
    1. 1851
    2. Pages: 317-335
  4. Type of Article: Article
  5. ISSN: 978-1-4939-8735-1
  1. Abstract:

    About 20% of the cancer incidences worldwide have been estimated to be associated with infections. However, the molecular mechanisms of exactly how they contribute to host tumorigenesis are still unknown. To evade host defense, pathogens hijack host proteins at different levels: sequence, structure, motif, and binding surface, i.e., interface. Interface similarity allows pathogen proteins to compete with host counterparts to bind to a target protein, rewire physiological signaling, and result in persistent infections, as well as cancer. Identification of host-pathogen interactions (HPIs)-along with their structural details at atomic resolution-may provide mechanistic insight into pathogen-driven cancers and innovate therapeutic intervention. HPI data including structural details is scarce and large-scale experimental detection is challenging. Therefore, there is an urgent and mounting need for efficient and robust computational approaches to predict HPIs and their complex (bound) structures. In this chapter, we review the first and currently only interface-based computational approach to identify novel HPIs. The concept of interface mimicry promises to identify more HPIs than complete sequence or structural similarity. We illustrate this concept with a case study on Kaposi 39;s sarcoma herpesvirus (KSHV) to elucidate how it subverts host immunity and helps contribute to malignant transformation of the host cells.

    See More

  1. Keywords:

External Sources

  1. View Full Text
  2. DOI: 10.1007/978-1-4939-8736-8_18
  3. PMID: 30298406
  4. View record in Web of Science®
  5. WOS: 000530596000019

Library Notes

  1. Fiscal Year: FY2018-2019
NCI at Frederick

You are leaving a government website.

This external link provides additional information that is consistent with the intended purpose of this site. The government cannot attest to the accuracy of a non-federal site.

Linking to a non-federal site does not constitute an endorsement by this institution or any of its employees of the sponsors or the information and products presented on the site. You will be subject to the destination site's privacy policy when you follow the link.

ContinueCancel