scholarly journals Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit

2018 ◽  
Author(s):  
M. Boone ◽  
P. Ramasamy ◽  
J. Zuallaert ◽  
R. Bouwmeester ◽  
B. Van Moer ◽  
...  
Keyword(s):  
Protein Design ◽  
De Novo ◽  
Recombinant Protein Expression ◽  
Surface Display ◽  
Protein Fragment ◽  
Chain Flexibility ◽  
Protein Fragments ◽  
Protein Biogenesis ◽  
Secretory System ◽  
Fragment Libraries

AbstractWhile transcriptome- and proteome-wide technologies to assess processes in protein biogenesis are now widely available, we still lack global approaches to assay post-ribosomal biogenesis events, in particular those occurring in the eukaryotic secretory system. We here developed a method, SECRiFY, to simultaneously assess the secretability of >105 protein fragments by two yeast species, S. cerevisiae and P. pastoris, using custom fragment libraries, surface display and a sequencing-based readout. Screening human proteome fragments with a median size of 50 - 100 amino acids, we generated datasets that enable datamining into protein features underlying secretability, revealing a striking role for intrinsic disorder and chain flexibility. SECRiFY is the first methodology that generates sufficient amounts of annotated data for advanced machine learning methods to deduce secretability predictors. The finding that secretability is indeed a learnable feature of protein sequences is of significant impact in the broad area of recombinant protein expression and de novo protein design.

scholarly journals Massively parallel interrogation of protein fragment secretability using SECRiFY reveals features influencing secretory system transit

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Morgane Boone ◽  
Pathmanaban Ramasamy ◽  
Jasper Zuallaert ◽  
Robbin Bouwmeester ◽  
Berre Van Moer ◽  
...  
Keyword(s):  
Surface Display ◽  
Solid Base ◽  
Ribosomal Biogenesis ◽  
Protein Fragment ◽  
Chain Flexibility ◽  
Protein Fragments ◽  
Machine Learning Methods ◽  
Protein Biogenesis ◽  
Secretory System ◽  
Fragment Libraries

AbstractWhile transcriptome- and proteome-wide technologies to assess processes in protein biogenesis are now widely available, we still lack global approaches to assay post-ribosomal biogenesis events, in particular those occurring in the eukaryotic secretory system. We here develop a method, SECRiFY, to simultaneously assess the secretability of >105 protein fragments by two yeast species, S. cerevisiae and P. pastoris, using custom fragment libraries, surface display and a sequencing-based readout. Screening human proteome fragments with a median size of 50–100 amino acids, we generate datasets that enable datamining into protein features underlying secretability, revealing a striking role for intrinsic disorder and chain flexibility. The SECRiFY methodology generates sufficient amounts of annotated data for advanced machine learning methods to deduce secretability patterns. The finding that secretability is indeed a learnable feature of protein sequences provides a solid base for application-focused studies.

scholarly journals Fragger: a protein fragment picker for structural queries

F1000Research ◽  
2018 ◽  
Vol 6 ◽  
pp. 1722 ◽  
Author(s):  
Francois Berenger ◽  
David Simoncini ◽  
Arnout Voet ◽  
Rojan Shrestha ◽  
Kam Y.J. Zhang
Keyword(s):  
Amino Acid ◽  
Protein Design ◽  
Data Bank ◽  
Amino Acid Sequences ◽  
Structural Fragment ◽  
Protein Fragment ◽  
Distance Threshold ◽  
Protein Fragments ◽  
Specific Subset ◽  
Design Activities

Protein modeling and design activities often require querying the Protein Data Bank (PDB) with a structural fragment, possibly containing gaps. For some applications, it is preferable to work on a specific subset of the PDB or with unpublished structures. These requirements, along with specific user needs, motivated the creation of a new software to manage and query 3D protein fragments. Fragger is a protein fragment picker that allows protein fragment databases to be created and queried. All fragment lengths are supported and any set of PDB files can be used to create a database. Fragger can efficiently search a fragment database with a query fragment and a distance threshold. Matching fragments are ranked by distance to the query. The query fragment can have structural gaps and the allowed amino acid sequences matching a query can be constrained via a regular expression of one-letter amino acid codes. Fragger also incorporates a tool to compute the backbone RMSD of one versus many fragments in high throughput. Fragger should be useful for protein design, loop grafting and related structural bioinformatics tasks.

scholarly journals Fragger: a protein fragment picker for structural queries

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1722
Author(s):  
Francois Berenger ◽  
David Simoncini ◽  
Arnout Voet ◽  
Rojan Shrestha ◽  
Kam Y.J. Zhang
Keyword(s):  
Amino Acid ◽  
Protein Design ◽  
Data Bank ◽  
Amino Acid Sequences ◽  
Structural Fragment ◽  
Protein Fragment ◽  
Distance Threshold ◽  
Protein Fragments ◽  
Specific Subset ◽  
Design Activities

Protein modeling and design activities often require querying the Protein Data Bank (PDB) with a structural fragment, possibly containing gaps. For some applications, it is preferable to work on a specific subset of the PDB or with unpublished structures. These requirements, along with specific user needs, motivated the creation of a new software to manage and query 3D protein fragments. Fragger is a protein fragment picker that allows protein fragment databases to be created and queried. All fragment lengths are supported and any set of PDB files can be used to create a database. Fragger can efficiently search a fragment database with a query fragment and a distance threshold. Matching fragments are ranked by distance to the query. The query fragment can have structural gaps and the allowed amino acid sequences matching a query can be constrained via a regular expression of one-letter amino acid codes. Fragger also incorporates a tool to compute the backbone RMSD of one versus many fragments in high throughput. Fragger should be useful for protein design, loop grafting and related structural bioinformatics tasks.

scholarly journals Bottom-up de novo protein design

2021 ◽  
Vol 18 (3) ◽  
pp. 233-233
Author(s):  
Arunima Singh
Keyword(s):  
Protein Design ◽  
De Novo ◽  
Bottom Up ◽  
De Novo Protein Design

scholarly journals Rational thermostabilisation of four-helix bundle dimeric de novo proteins

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Shin Irumagawa ◽  
Kaito Kobayashi ◽  
Yutaka Saito ◽  
Takeshi Miyata ◽  
Mitsuo Umetsu ◽  
...  
Keyword(s):  
Protein Design ◽  
De Novo ◽  
Protein Complexes ◽  
Salt Bridge ◽  
Dynamics Simulation ◽  
Saturation Mutagenesis ◽  
Helix Bundle ◽  
Stable Mutant ◽  
Four Helix Bundle ◽  
The Stability

AbstractThe stability of proteins is an important factor for industrial and medical applications. Improving protein stability is one of the main subjects in protein engineering. In a previous study, we improved the stability of a four-helix bundle dimeric de novo protein (WA20) by five mutations. The stabilised mutant (H26L/G28S/N34L/V71L/E78L, SUWA) showed an extremely high denaturation midpoint temperature (Tm). Although SUWA is a remarkably hyperstable protein, in protein design and engineering, it is an attractive challenge to rationally explore more stable mutants. In this study, we predicted stabilising mutations of WA20 by in silico saturation mutagenesis and molecular dynamics simulation, and experimentally confirmed three stabilising mutations of WA20 (N22A, N22E, and H86K). The stability of a double mutant (N22A/H86K, rationally optimised WA20, ROWA) was greatly improved compared with WA20 (ΔTm = 10.6 °C). The model structures suggested that N22A enhances the stability of the α-helices and N22E and H86K contribute to salt-bridge formation for protein stabilisation. These mutations were also added to SUWA and improved its Tm. Remarkably, the most stable mutant of SUWA (N22E/H86K, rationally optimised SUWA, ROSA) showed the highest Tm (129.0 °C). These new thermostable mutants will be useful as a component of protein nanobuilding blocks to construct supramolecular protein complexes.

From the discovery to molecular understanding of cellular iron-sulfur protein biogenesis

2020 ◽  
Vol 401 (6-7) ◽  
pp. 855-876 ◽  
Author(s):  
Roland Lill
Keyword(s):  
De Novo ◽  
Current Knowledge ◽  
Protein Stabilization ◽  
S Protein ◽  
Cellular Iron ◽  
Iron Sulfur ◽  
Protein Biogenesis ◽  
Sulfur Protein ◽  
Initial Discovery ◽  
S Proteins

AbstractProtein cofactors often are the business ends of proteins, and are either synthesized inside cells or are taken up from the nutrition. A cofactor that strictly needs to be synthesized by cells is the iron-sulfur (Fe/S) cluster. This evolutionary ancient compound performs numerous biochemical functions including electron transfer, catalysis, sulfur mobilization, regulation and protein stabilization. Since the discovery of eukaryotic Fe/S protein biogenesis two decades ago, more than 30 biogenesis factors have been identified in mitochondria and cytosol. They support the synthesis, trafficking and target-specific insertion of Fe/S clusters. In this review, I first summarize what led to the initial discovery of Fe/S protein biogenesis in yeast. I then discuss the function and localization of Fe/S proteins in (non-green) eukaryotes. The major part of the review provides a detailed synopsis of the three major steps of mitochondrial Fe/S protein biogenesis, i.e. the de novo synthesis of a [2Fe-2S] cluster on a scaffold protein, the Hsp70 chaperone-mediated transfer of the cluster and integration into [2Fe-2S] recipient apoproteins, and the reductive fusion of [2Fe-2S] to [4Fe-4S] clusters and their subsequent assembly into target apoproteins. Finally, I summarize the current knowledge of the mechanisms underlying the maturation of cytosolic and nuclear Fe/S proteins.

scholarly journals The Yeast Scaffold Proteins Isu1p and Isu2p Are Required inside Mitochondria for Maturation of Cytosolic Fe/S Proteins

2004 ◽  
Vol 24 (11) ◽  
pp. 4848-4857 ◽  
Author(s):  
Jana Gerber ◽  
Karina Neumann ◽  
Corinna Prohl ◽  
Ulrich Mühlenhoff ◽  
Roland Lill
Keyword(s):  
Iron Homeostasis ◽  
De Novo ◽  
Mitochondrial Targeting ◽  
Protein Maturation ◽  
Iron Sulfur Cluster ◽  
Subcellular Compartment ◽  
S Protein ◽  
Iron Sulfur ◽  
Protein Biogenesis ◽  
S Proteins

ABSTRACT Iron-sulfur (Fe/S) proteins are located in mitochondria, cytosol, and nucleus. Mitochondrial Fe/S proteins are matured by the iron-sulfur cluster (ISC) assembly machinery. Little is known about the formation of Fe/S proteins in the cytosol and nucleus. A function of mitochondria in cytosolic Fe/S protein maturation has been noted, but small amounts of some ISC components have been detected outside mitochondria. Here, we studied the highly conserved yeast proteins Isu1p and Isu2p, which provide a scaffold for Fe/S cluster synthesis. We asked whether the Isu proteins are needed for biosynthesis of cytosolic Fe/S clusters and in which subcellular compartment the Isu proteins are required. The Isu proteins were found to be essential for de novo biosynthesis of both mitochondrial and cytosolic Fe/S proteins. Several lines of evidence indicate that Isu1p and Isu2p have to be located inside mitochondria in order to perform their function in cytosolic Fe/S protein maturation. We were unable to mislocalize Isu1p to the cytosol due to the presence of multiple, independent mitochondrial targeting signals in this protein. Further, the bacterial homologue IscU and the human Isu proteins (partially) complemented the defects of yeast Isu protein-depleted cells in growth rate, Fe/S protein biogenesis, and iron homeostasis, yet only after targeting to mitochondria. Together, our data suggest that the Isu proteins need to be localized in mitochondria to fulfill their functional requirement in Fe/S protein maturation in the cytosol.

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