𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Exploration of sequence space for protein engineering

✍ Scribed by Claes Gustafsson; Sridhar Govindarajan; Robin Emig


Publisher
John Wiley and Sons
Year
2001
Tongue
English
Weight
118 KB
Volume
14
Category
Article
ISSN
0952-3499

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

The process of protein engineering is currently evolving towards a heuristic understanding of the sequence–function relationship. Improved DNA sequencing capacity, efficient protein function characterization and improved quality of data points in conjunction with well‐established statistical tools from other industries are changing the protein engineering field. Algorithms capturing the heuristic sequence–function relationships will have a drastic impact on the field of protein engineering. In this review, several alternative approaches to quantitatively assess sequence space are discussed and the relatively few examples of wet‐lab validation of statistical sequence–function characterization/correlation are described. Copyright © 2001 John Wiley & Sons, Ltd.


📜 SIMILAR VOLUMES


Exploring Protein Sequence Space Using K
✍ ADERONKE BABAJIDE; ROBERT FARBER; IVO L. HOFACKER; JEFF INMAN; ALAN S. LAPEDES; 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 506 KB

Knowledge-based potentials can be used to decide whether an amino acid sequence is likely to fold into a prescribed native protein structure. We use this idea to survey the se-quence}structure relations in protein space. In particular, we test the following two propositions which were found to be im

An in silico Exploration of the Neutral
✍ TAKUYO AITA; MOTONORI OTA; YUZURU Husimi 📂 Article 📅 2003 🏛 Elsevier Science 🌐 English ⚖ 315 KB

Designating amino-acid sequences that fold into a common main-chain structure as "neutral sequences" for the structure, regardless of their function or stability, we investigated the distribution of neutral sequences in protein sequence space. For four distinct target structures (alpha, beta,alpha/b

Attractors in Sequence Space: Agent-Base
✍ Natalie Jäger; Joanna M. Wisniewska; Jan A. Hiss; Anja Freier; Florian O. Losch; 📂 Article 📅 2010 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 540 KB

## Abstract Ant Colony Optimization (ACO) is a meta‐heuristic that utilizes a computational analogue of ant trail pheromones to solve combinatorial optimization problems. The size of the ant colony and the representation of the ants’ pheromone trails is unique referring to the given optimization pr

Use of synthetic signal sequences to exp
✍ Eugenia M. Clérico; Jenny L. Maki; Lila M. Gierasch 📂 Article 📅 2007 🏛 Wiley (John Wiley & Sons) 🌐 English ⚖ 364 KB

## Abstract The information for correct localization of newly synthesized proteins in both prokaryotes and eukaryotes resides in self‐contained, often transportable targeting sequences. Of these, signal sequences specify that a protein should be secreted from a cell or incorporated into the cytopla