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Hidden Models in Biopolymers

Article Abstract:

Sequence data is readily available, but it presents the problem of finding genes and translated proteins hidden in the nucleotide databases. Functional annotation also presents a problem. The hidden Markov model (HMM) is one computational technique that is useful in solving these problems. However, HMMs are limited in modeling correlations between distant residues.

Author: Amitai, Mor
Publisher: American Association for the Advancement of Science
Publication Name: Science
Subject: Science and technology
ISSN: 0036-8075
Year: 1998
Biopolymers, Markov processes, DNA sequencers

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For the Latest Information, Tune to Channel KcsA

Article Abstract:

Researchers introduced a new era in publishing the crystal structure of KcsA, the {K.sup.+] channel of the bacterium Streptomyces lividans last year. A computational analysis of the stalilizing [K.sup.+] ions of electrostatic forces in the central cavity are reported.

Author: Zagrovic, Bojan, Aldrich, Aldrich
Publisher: American Association for the Advancement of Science
Publication Name: Science
Subject: Science and technology
ISSN: 0036-8075
Year: 1999
Analysis, Potassium channels

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Models of Ca2+ release channel adaptation

Article Abstract:

Two models of channel adaptation attempt to account for the complex behavior of the sarcoplasmic reticulum Ca+ release channel. The first suggests that an assembly of simple interactive monomers causes the complex adaptive channel behavior.

Author: Cheng, Heping, Lederer, W.J., Fill, Michael, Valdivia, Hector, Sachs, F., Qin, F., Palade, P.
Publisher: American Association for the Advancement of Science
Publication Name: Science
Subject: Science and technology
ISSN: 0036-8075
Year: 1995
Models, Calcium channels, Sarcoplasmic reticulum

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