✦ LIBER ✦

Secondary Structure Prediction and Folding of Globular Protein: Refolding of Ferredoxin

✍ Scribed by Yukio Kobayashi; Nobuhiko Saitô

Book ID: 110323462
Publisher: Springer
Year: 2001
Tongue: English
Weight: 139 KB
Volume: 20
Category: Article
ISSN: 1573-4943
DOI: 10.1023/a:1013720403558

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Computer Simulations of Globular Protein

Computer Simulations of Globular Protein Folding and Tertiary Structure

✍ Skolnick, J; Kolinski, A 📂 Article 📅 1989 🏛 Annual Reviews 🌐 English ⚖ 660 KB

Secondary structure of globular proteins

Secondary structure of globular proteins at the early and the final stages in protein folding

✍ Kunihiro Kuwajima; Gennady V Semisotnov; Alexei V Finkelstein; Shintaro Sugai; O 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 521 KB

Prediction of probable pathways of foldi

Prediction of probable pathways of folding in globular proteins

✍ Takeshi Kikuchi; George Némethy; Harold A. Scheraga 📂 Article 📅 1988 🏛 Springer 🌐 English ⚖ 953 KB

Prediction of the secondary structure co

Prediction of the secondary structure content of globular proteins based on structural classes

✍ Chun-Ting Zhang; Ziding Zhang; Zhimin He 📂 Article 📅 1996 🏛 Springer 🌐 English ⚖ 888 KB

On the Prediction of Folding Nuclei in G

On the Prediction of Folding Nuclei in Globular Proteins

✍ S. O. Garbuzynskiy; A. V. Finkelstein; O. V. Galzitskaya 📂 Article 📅 2005 🏛 SP MAIK Nauka/Interperiodica 🌐 English ⚖ 117 KB

Fold recognition using predicted seconda

Fold recognition using predicted secondary structure sequences and hidden Markov models of protein folds

✍ Di Francesco, Valentina; Geetha, V.; Garnier, Jean; Munson, Peter J. 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 59 KB 👁 2 views

We present an analysis of the blind predictions submitted to the fold recognition category for the second meeting on the Critical Assessment of techniques for protein Structure Prediction. Our method achieves fold recognition from predicted secondary structure sequences using hidden Markov models (H