A generative model for protein contact networks-Reference-Cited by-同舟云学术

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A generative model for protein contact networks

Published:2016-04-21 Issue:7 Volume:34 Page:1441-1454
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Livi Lorenzo¹,Maiorino Enrico²,Giuliani Alessandro³,Rizzi Antonello²,Sadeghian Alireza¹

Affiliation:

1. Department of Computer Science, Ryerson University, 350 Victoria Street, Toronto, ON, M5B 2K3Canada.

2. Department of Information Engineering, Electronics, and Telecommunications, SAPIENZA University of Rome, Via Eudossiana 18, 00184Rome, Italy.

3. Department of Environment and Health, Istituto Superiore di Sanità, Viale Regina Elena 299, 00161Rome, Italy.

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2015.1077736

Reference73 articles.

1. Dynamical and spectral properties of complex networks

2. Learning generative models for protein fold families

3. Fast and Accurate Multivariate Gaussian Modeling of Protein Families: Predicting Residue Contacts and Protein-Interaction Partners

4. Physics of Proteins

5. Protein structure and folding – simplicity within complexity

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1. Graph iForest: Isolation of anomalous and outlier graphs;2022 International Joint Conference on Neural Networks (IJCNN);2022-07-18

2. A Systematic Survey on Deep Generative Models for Graph Generation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2022

3. Generative deep learning for macromolecular structure and dynamics;Current Opinion in Structural Biology;2021-04

4. Locating and Navigating in Proteins;Methods in Molecular Biology;2020-12-15

5. Modelling and Recognition of Protein Contact Networks by Multiple Kernel Learning and Dissimilarity Representations;Entropy;2020-07-21

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