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Int. J. Mol. Sci. 2018, 19(1), 91; https://doi.org/10.3390/ijms19010091

InSiDDe: A Server for Designing Artificial Disordered Proteins

1
Aix-Marseille University, CNRS, Architecture et Fonction des Macromolécules Biologiques (AFMB), UMR 7257 Marseille, France
2
Istituto Pasteur Italia-Fondazione Cenci Bolognetti, Istituto di Biologia e Patologia Molecolari del CNR, Dipartimento di Scienze Biochimiche “A. Rossi Fanelli”, Sapienza Università di Roma, 00185 Rome, Italy
*
Authors to whom correspondence should be addressed.
Received: 24 November 2017 / Revised: 21 December 2017 / Accepted: 22 December 2017 / Published: 29 December 2017
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Abstract

InSiDDe (In Silico Disorder Design) is a program for the in silico design of intrinsically disordered proteins of desired length and disorder probability. The latter is assessed using IUPred and spans values ranging from 0.55 to 0.95 with 0.05 increments. One to ten artificial sequences per query, each made of 50 to 200 residues, can be generated by InSiDDe. We describe the rationale used to set up InSiDDe and show that an artificial sequence of 100 residues with an IUPred score of 0.6 designed by InSiDDe could be recombinantly expressed in E. coli at high levels without degradation when fused to a natural molecular recognition element (MoRE). In addition, the artificial fusion protein exhibited the expected behavior in terms of binding modulation of the specific partner recognized by the MoRE. To the best of our knowledge, InSiDDe is the first publicly available software for the design of intrinsically disordered protein (IDP) sequences. InSiDDE is publicly available online. View Full-Text
Keywords: intrinsically disordered proteins; artificial protein; IUPred; recombinant protein; Python3; paramyxovirus; NTAIL; XD; E. coli intrinsically disordered proteins; artificial protein; IUPred; recombinant protein; Python3; paramyxovirus; NTAIL; XD; E. coli
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Schramm, A.; Lieutaud, P.; Gianni, S.; Longhi, S.; Bignon, C. InSiDDe: A Server for Designing Artificial Disordered Proteins. Int. J. Mol. Sci. 2018, 19, 91.

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