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Dataset . 2020
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ZENODO
Dataset . 2020
License: CC BY
Data sources: ZENODO
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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ZENODO
Dataset . 2020
License: CC BY
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ZENODO
Dataset . 2020
License: CC BY
Data sources: Datacite
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Dataset for DISC reconstruction based on novel approach to protein-protein docking

Authors: Mahdizadeh, Sayyed Jalil; Thomas, Melissa; Eriksson, Leif A.;

Dataset for DISC reconstruction based on novel approach to protein-protein docking

Abstract

Funding from the Vinnova Seal-of-Excellence programme 2019-02205 (CaTheDRA) is gratefully acknowledged (SJM). Sven and Lilly Lawski Foundation are gratefully acknowledged for a postdoctoral fellowship to MT, and MSCA-RISE 777995 "DISCOVER" for funding of secondments. The Faculty of Science at the University of Gothenburg, the Swedish Science Research Council (VR; grant number 2019-3684), and MSCA-RISE 734749 "INSPIRED" are gratefully acknowledged for financial support (LAE) and the Swedish National Infrastructure for Computing for allocations of computing time at supercomputing center C3SE, in part funded by the Swedish Research Council through grant agreement no. 2018-05973.

Coordinates of protein-protein complexes involved in the CD95 based DISC formation, Homology models along with MD simulation trajectories. Homology modeling: YASARA Model quality assessment: MOE software and QMEAN sever Protein-protein docking: HADDOCK, ClusPro, ZDOCK, GRAMMX, HDOCK RMSD-based Clustering: Meastro Schrodinger MD simulation: Desmond Schrodinger Alanine scanning and MMGBSA: Maestro Schrodinger

Related Organizations
Keywords

Fas-FADD, Molecular dynamics simulations, Protein-protein interactions, cFLIP, Apoptosis, Procaspase-8, DISC formation, Protein-protein docking, Cancer

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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