𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Secondary Structure of Proteins and Three-dimensional Pattern Recognition

✍ Scribed by ALAIN FIGUREAU; M ANGÉLICA SOTO; JOSÉ TOHÁ

Publisher
Elsevier Science
Year
1999
Tongue
English
Weight
135 KB
Volume
201
Category
Article
ISSN
0022-5193

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

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

Toward more meaningful hierarchical clas
Toward more meaningful hierarchical classification of protein three-dimensional structures
✍ Alex C.W. May 📂 Article 📅 1999 🏛 John Wiley and Sons 🌐 English ⚖ 77 KB 👁 2 views

Recently, several hierarchical classifications of protein three-dimensional (3-D) structures have been published. However, none of them provides any assessment of the validity of a hierarchical representation or test individual clusters contained within. In fact, testing here of published trees reve

Patterns, structures, and amino acid fre
Patterns, structures, and amino acid frequencies in structural building blocks, a protein secondary structure classification scheme
✍ Jacquelyn S. Fetrow; Michael J. Palumbo; George Berg 📂 Article 📅 1997 🏛 John Wiley and Sons 🌐 English ⚖ 669 KB

To study local structures in proteins, we previously developed an autoassociative artificial neural network (autoANN) and clustering tool to discover intrinsic features of macromolecular structures. The hidden unit activations computed by the trained autoANN are a convenient low-dimensional encoding