Description |
1 online resource (xi, 332 pages) : illustrations (some color) |
Series |
Methods in molecular biology, 1940-6029 ; 1903 |
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Methods in molecular biology (Clifton, N.J.) ; v. 1903. 1064-3745
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Contents |
Methods for discovering and targeting druggable protein-protein interfaces and their application to repurposing / E. Sila Ozdemir, Farideh Halakou, Ruth Nussinov, Attila Gursoy, and Ozlem Keskin -- Performing an in silico repurposing of existing drugs by combining virtual screening and molecular dynamics simulation / Farzin Sohraby, Milad Bagheri, and Hassan Aryapour -- Repurposing drugs based on rvolutionary relationships between targets of approved drugs and proteins of interest / Sohini Chakraborti, Gayatri Ramakrishnan, and Narayanaswamy Srinivasan -- Drug repositioning by mining adverse event data in ClinicalTrials.gov / Eric Wen Su -- Transcriptomic data mining and repurposing for computational drug discovery / Yunguan Wang, Jaswanth Yella, and Anil G. Jegga -- Network-based drug repositioning : approaches, resources, and research directions / Salvatore Alaimo and Alfredo Pulvirenti -- Computational bipartite graph-based drug repurposing method / Si Zheng, Hetong Ma, Jiayang Wang, and Jiao Li -- Implementation of a pipeline using disease-disease associations for computational drug repurposing / Preethi Balasundaram, Rohini Kanagavelu, Nivya James, Sayoni Maiti, Shanthi Veerappapillai, and Ramanathan Karuppaswamy -- Application of computational drug repurposing based on transcriptomic signatures / Evangelos Karatzas, George Kolios, and George M. Spyrou -- Drug-induced expression-based computational repurposing of small molecules affecting transcription factor activity / Kaitlyn Gayvert and Olivier Elemento -- Drug repurposing method based on drug-drug interaction networks and using energy model layouts / Mihai Udrescu and Lucret¸ia Udrescu -- Integrating biological networks for drug target prediction and prioritization / Xiao Ji, Johannes M. Freudenberg, and Pankaj Agarwal -- Using drug expression profiles and machine learning approach for drug repurposing / Kai Zhao and Hon-Cheong So - Computational prediction of drug-target interactions via ensemble learning / Ali Ezzat, Min Wu, Xiaoli Li, and Chee-Keong Kwoh -- Machine-learning-based drug repurposing approach using baseline regularization / Zhaobin Kuang, Yujia Bao, James Thomson, Michael Caldwell, Peggy Peissig, Ron Stewart, Rebecca Willett, and David Page -- Machine learning approach for predicting new uses of existing drugs and evaluation of their reliabilities / Yutaka Fukuoka -- Drug-target network-based supervised machine learning repurposing method allowing the use of multiple heterogeneous information sources / André C. A. Nascimento, Ricardo B. C. Prudeˆncio, and Ivan G. Costa -- Heter-LP: a heterogeneous label propagation method for drug repositioning / Maryam Lotfi Shahreza, Nasser Ghadiri, and James R. Green - Tripartite network-based repurposing method using deep learning to compute similarities for drug-target prediction / Nansu Zong, Rachael Sze Nga Wong, and Victoria Ngo |
Bibliography |
Includes bibliographical references and index |
Notes |
Online resource; title from PDF title page (SpringerLink, viewed December 18, 2018) |
Subject |
Drug development.
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Drug Repositioning -- methods
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Drug development
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Genre/Form |
Electronic books
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Laboratory manuals
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Laboratory manuals.
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Manuels de laboratoire.
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Form |
Electronic book
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Author |
Vanhaelen, Quentin, editor
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ISBN |
9781493989553 |
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1493989553 |
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