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Updated: Jun 7, 2026

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer
08:20

Using Microarrays to Interrogate Microenvironmental Impact on Cellular Phenotypes in Cancer

Published on: May 21, 2019

二次構造 ビード・エンコードされたアンフィフィリシティ・バイアス ペプチド・セルフ・アセンブリ・予測 in MARTINI 粗粒線シミュレーション

Marko Babić1, Goran Mauša1,2, Ivan R Sasselli3

  • 1University of Rijeka, Faculty of Engineering, Rijeka 51000, Croatia.

ACS applied materials & interfaces
|February 19, 2026
PubMed
まとめ

ペプチドの自己組み立てのための粗粒線分子動力学 (CG-MD) シミュレーションは,二次構造のエンコーディングに敏感です. この入力を変更すると,予測されたアセンブリが大幅に変化し,シミュレーションにおけるより正確なバックボーン表現の必要性を強調します.

キーワード:
マルティニ 粗粒型モデルアンフィフィリシティバイアス (amphiphilicity bias) とは粗粒子の分子動力学についてペプチド自己組み立て

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Computational Prediction of Amino Acid Preferences of Potentially Multispecific Peptide-Binding Domains Involved in Protein-Protein Interactions06:50

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Published on: January 26, 2024

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