𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Prediction and classification of α-turn types

✍ Scribed by Kou-Chen Chou

Publisher
Wiley (John Wiley & Sons)
Year
1997
Tongue
English
Weight
446 KB
Volume
42
Category
Article
ISSN
0006-3525

No coin nor oath required. For personal study only.

✦ Synopsis

Tight turns play an important role in globular proteins from both the structural and functional points of view. Of tight turns, b-turns and g-turns have been extensively studied, but a-turns were little investigated. Recently, a systematic search for a-turns was conducted by V.

📜 SIMILAR VOLUMES

Prediction and classification of domain
Prediction and classification of domain structural classes
✍ Kou-Chen Chou; Wei-Min Liu; Gerald M. Maggiora; Chun-Ting Zhang 📂 Article 📅 1998 🏛 John Wiley and Sons 🌐 English ⚖ 66 KB

Can the coupling effect among different amino acid components be used to improve the prediction of protein structural classes? The answer is yes according to the study by Chou and Zhang (Crit. Rev. Biochem. Mol. Biol. 30:275-349, 1995), but a completely opposite conclusion was drawn by Eisenhaber et

Theoretical prediction of the basic heli
Theoretical prediction of the basic helix types in α,β-hybrid peptides
✍ Carsten Baldauf; Robert Günther; Hans-Jörg Hofmann 📂 Article 📅 2006 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 292 KB

## Abstract This study provides a complete overview on all possible helical‐ folding patterns, their stabilities, and their detailed molecular structure in the novel foldamer class of α,β‐hybrid peptides on the basis of ab initio molecular orbital (MO) theory. The results indicate a considerable in

Bayesian Predictive Identification and C
Bayesian Predictive Identification and Cumulative Classification of Bacteria
✍ M. Gyllenberg; T. Koski; T. Lund; H.G. Gyllenberg 📂 Article 📅 1999 🏛 Springer 🌐 English ⚖ 305 KB

In this paper we give a mathematically precise formulation of an old idea in bacterial taxonomy, namely cumulative classification, where the taxonomy is continuously updated and possibly augmented as new strains are identified. Our formulation is based on Bayesian predictive probability distribution

Prediction and Classification of Non-sta
Prediction and Classification of Non-stationary Categorical Time Series
✍ Konstantinos Fokianos; Benjamin Kedem 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 316 KB

Partial likelihood analysis of a general regression model for the analysis of nonstationary categorical time series is presented, taking into account stochastic time dependent covariates. The model links the probabilities of each category to a covariate process through a vector of time invariant par