Average zipper propensity score as calculated by Rosetta from 1,563 proline-containing segments.

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>

Gorde:

Xehetasun bibliografikoak
Egile nagusia:	Samantha Zink (22120627) (author)
Beste egile batzuk:	Songrong Qu (22120630) (author), Thomas Holton (491084) (author), Eesha Shankar (22120633) (author), Paulina Stanley (22120636) (author), David S. Eisenberg (1325538) (author), Michael R. Sawaya (217747) (author), Jose A. Rodriguez (1982692) (author)
Argitaratua:	2025
Gaiak:	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
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