Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments.
<p>(a) The impact of number of proline residues on the average zipper propensity score. (b) Mean zipper propensity scores for proline-containing segments based on position of proline in the hexapeptide sequence.</p> <p>(TIF)</p>
Sábháilte in:
| Príomhchruthaitheoir: | |
|---|---|
| Rannpháirtithe: | , , , , , , |
| Foilsithe / Cruthaithe: |
2025
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| Ábhair: | |
| Clibeanna: |
Cuir clib leis
Níl clibeanna ann, Bí ar an gcéad duine le clib a chur leis an taifead seo!
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| _version_ | 1851483458403041280 |
|---|---|
| author | Samantha Zink (22120627) |
| author2 | Songrong Qu (22120630) Thomas Holton (491084) Eesha Shankar (22120633) Paulina Stanley (22120636) David S. Eisenberg (1325538) Michael R. Sawaya (217747) Jose A. Rodriguez (1982692) |
| author2_role | author author author author author author author |
| author_facet | Samantha Zink (22120627) Songrong Qu (22120630) Thomas Holton (491084) Eesha Shankar (22120633) Paulina Stanley (22120636) David S. Eisenberg (1325538) Michael R. Sawaya (217747) Jose A. Rodriguez (1982692) |
| author_role | author |
| dc.creator.none.fl_str_mv | Samantha Zink (22120627) Songrong Qu (22120630) Thomas Holton (491084) Eesha Shankar (22120633) Paulina Stanley (22120636) David S. Eisenberg (1325538) Michael R. Sawaya (217747) Jose A. Rodriguez (1982692) |
| dc.date.none.fl_str_mv | 2025-08-25T17:42:13Z |
| dc.identifier.none.fl_str_mv | 10.1371/journal.pcbi.1013395.s015 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/figure/Average_zipper_propensity_score_as_calculated_by_Rosetta_from_1_563_proline-containing_segments_/29982487 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Biophysics Biochemistry Molecular Biology Pharmacology Developmental Biology Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> predicting predictive model allows predictions show enrichment like structures remain cell wall reorganization amyloid formation across zipper forming segments steric zipper propensity informed machine learning machine learning zipper profiles peptide segments amyloid fold adopt amyloid ten years recent progress rapid proteome proteome level proteins involved potential category new approach facilitated structure experimental characterization designed sequences based prediction |
| dc.title.none.fl_str_mv | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| dc.type.none.fl_str_mv | Image Figure info:eu-repo/semantics/publishedVersion image |
| description | <p>(a) The impact of number of proline residues on the average zipper propensity score. (b) Mean zipper propensity scores for proline-containing segments based on position of proline in the hexapeptide sequence.</p> <p>(TIF)</p> |
| eu_rights_str_mv | openAccess |
| id | Manara_6e28387b11b66d76b3dba635081b7da7 |
| identifier_str_mv | 10.1371/journal.pcbi.1013395.s015 |
| network_acronym_str | Manara |
| network_name_str | ManaraRepo |
| oai_identifier_str | oai:figshare.com:article/29982487 |
| publishDate | 2025 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments.Samantha Zink (22120627)Songrong Qu (22120630)Thomas Holton (491084)Eesha Shankar (22120633)Paulina Stanley (22120636)David S. Eisenberg (1325538)Michael R. Sawaya (217747)Jose A. Rodriguez (1982692)BiophysicsBiochemistryMolecular BiologyPharmacologyDevelopmental BiologyPlant BiologyBiological Sciences not elsewhere classifiedMathematical Sciences not elsewhere classifiedChemical Sciences not elsewhere classifiedInformation Systems not elsewhere classifiedxlink "> predictingpredictive model allowspredictions show enrichmentlike structures remaincell wall reorganizationamyloid formation acrosszipper forming segmentssteric zipper propensityinformed machine learningmachine learningzipper profilespeptide segmentsamyloid foldadopt amyloidten yearsrecent progressrapid proteomeproteome levelproteins involvedpotential categorynew approachfacilitated structureexperimental characterizationdesigned sequencesbased prediction<p>(a) The impact of number of proline residues on the average zipper propensity score. (b) Mean zipper propensity scores for proline-containing segments based on position of proline in the hexapeptide sequence.</p> <p>(TIF)</p>2025-08-25T17:42:13ZImageFigureinfo:eu-repo/semantics/publishedVersionimage10.1371/journal.pcbi.1013395.s015https://figshare.com/articles/figure/Average_zipper_propensity_score_as_calculated_by_Rosetta_from_1_563_proline-containing_segments_/29982487CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/299824872025-08-25T17:42:13Z |
| spellingShingle | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. Samantha Zink (22120627) Biophysics Biochemistry Molecular Biology Pharmacology Developmental Biology Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> predicting predictive model allows predictions show enrichment like structures remain cell wall reorganization amyloid formation across zipper forming segments steric zipper propensity informed machine learning machine learning zipper profiles peptide segments amyloid fold adopt amyloid ten years recent progress rapid proteome proteome level proteins involved potential category new approach facilitated structure experimental characterization designed sequences based prediction |
| status_str | publishedVersion |
| title | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| title_full | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| title_fullStr | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| title_full_unstemmed | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| title_short | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| title_sort | Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments. |
| topic | Biophysics Biochemistry Molecular Biology Pharmacology Developmental Biology Plant Biology Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified xlink "> predicting predictive model allows predictions show enrichment like structures remain cell wall reorganization amyloid formation across zipper forming segments steric zipper propensity informed machine learning machine learning zipper profiles peptide segments amyloid fold adopt amyloid ten years recent progress rapid proteome proteome level proteins involved potential category new approach facilitated structure experimental characterization designed sequences based prediction |