| |
|
|
|
|
|
|
|
|
1. |
Record Nr. |
UNINA9910830791603321 |
|
|
Titolo |
Computational methods for protein folding [[electronic resource] /] / edited by Richard A. Friesner |
|
|
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
ISBN |
|
1-280-36766-0 |
9786610367665 |
0-470-34930-1 |
0-471-46523-2 |
0-471-22442-1 |
|
|
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (546 p.) |
|
|
|
|
|
|
Collana |
|
Advances in chemical physics ; ; v. 120 |
|
|
|
|
|
|
Altri autori (Persone) |
|
|
|
|
|
|
Disciplina |
|
|
|
|
|
|
|
|
Soggetti |
|
Protein folding - Mathematical models |
Proteins - Conformation - Mathematical models |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Note generali |
|
Description based upon print version of record. |
|
|
|
|
|
|
Nota di contenuto |
|
COMPUTATIONAL METHODS FOR PROTEIN FOLDING A SPECIAL VOLUME OF ADVANCES IN CHEMICAL PHYSICS VOLUME 120; CONTRIBUTORS TO VOLUME 120; INTRODUCTION; PREFACE; CONTENTS; STATISTICAL ANALYSIS OF PROTEIN FOLDING KINETICS; INSIGHTS INTO SPECIFIC PROBLEMS IN PROTEIN FOLDING USING SIMPLE CONCEPTS; PROTEIN RECOGNITION BY SEQUENCE-TO-STRUCTURE FITNESS: BRIDGING EFFICIENCY AND CAPACITY OF THREADING MODELS; A UNIFIED APPROACH TO THE PREDICTION OF PROTEIN STRUCTURE AND FUNCTION; KNOWLEDGE-BASED PREDICTION OF PROTEIN TERTIARY STRUCTURE |
AB INITIO PROTEIN STRUCTURE PREDICTION USING A SIZE-DEPENDENT TERTIARY FOLDING POTENTIALDETERMINISTIC GLOBAL OPTIMIZATION AND AB INITIO APPROACHES FOR THE STRUCTURE PREDICTION OF POLYPEPTIDES, DYNAMICS OF PROTEIN FOLDING, AND PROTEIN-PROTEIN INTERACTIONS; DETECTING NATIVE PROTEIN FOLDS AMONG LARGE DECOY SITES WITH THE OPLS ALL-ATOM POTENTIAL AND THE |
|
|
|
|
|
|
|
|
|
|
|
|
|
SURFACE GENERALIZED BORN SOLVENT MODEL; AUTHOR INDEX; SUBJECT INDEX |
|
|
|
|
|
|
Sommario/riassunto |
|
Since the first attempts to model proteins on a computer began almost thirty years ago, our understanding of protein structure and dynamics has dramatically increased. Spectroscopic measurement techniques continue to improve in resolution and sensitivity, allowing a wealth of information to be obtained with regard to the kinetics of protein folding and unfolding, and complementing the detailed structural picture of the folded state. Concurrently, algorithms, software, and computational hardware have progressed to the point where both structural and kinetic problems may be studied with a fair d |
|
|
|
|
|
|
|
|
2. |
Record Nr. |
UNINA9910557450003321 |
|
|
Autore |
De Vittorio Massimo |
|
|
Titolo |
Optical Neural Interfaces |
|
|
|
|
|
Pubbl/distr/stampa |
|
|
|
|
|
|
Descrizione fisica |
|
1 online resource (88 p.) |
|
|
|
|
|
|
Soggetti |
|
Neurosciences |
Science: general issues |
|
|
|
|
|
|
|
|
Lingua di pubblicazione |
|
|
|
|
|
|
Formato |
Materiale a stampa |
|
|
|
|
|
Livello bibliografico |
Monografia |
|
|
|
|
|
Sommario/riassunto |
|
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin. |
|
|
|
|
| |