Algorithmic and Artificial Intelligence Methods for Protein by Yi Pan, Jianxin Wang, Min Li

By Yi Pan, Jianxin Wang, Min Li

An in-depth examine the newest learn, equipment, and functions within the box of protein bioinformatics

This e-book provides the newest advancements in protein bioinformatics, introducing for the 1st time state of the art learn effects along novel algorithmic and AI tools for the research of protein information. in a single whole, self-contained quantity, Algorithmic and synthetic Intelligence tools for Protein Bioinformatics addresses key demanding situations dealing with either laptop scientists and biologists, arming readers with instruments and strategies for examining and studying protein info and fixing a number of organic problems.

Featuring a suite of authoritative articles via leaders within the box, this paintings specializes in the research of protein sequences, buildings, and interplay networks utilizing either conventional algorithms and AI tools. It additionally examines, in nice aspect, facts guidance, simulation, experiments, overview tools, and functions. Algorithmic and synthetic Intelligence tools for Protein Bioinformatics:

  • Highlights protein research functions equivalent to protein-related drug task comparison
  • Incorporates salient case stories illustrating easy methods to practice the equipment defined within the book
  • Tackles the advanced dating among proteins from a platforms biology element of view
  • Relates the subject to different rising applied sciences similar to facts mining and visualization
  • Includes many tables and illustrations demonstrating ideas and function figures

Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics is an important reference for bioinformatics experts in examine and undefined, and for a person wishing to higher comprehend the wealthy box of protein bioinformatics.

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12:R669–R676 (2002). 27. Kandasamy MK, McKinney EC, Meagher RB, A single vegetative actin isovariant overexpressed under the control of multiple regulatory sequences is sufficient for normal Arabidopsis development, Plant Cell 21(3):701–718 (2009). 28. Huang S, An YQ, McDowell JM, McKinney EC, Meagher RB, The Arabidopsis ACT11 actin gene is strongly expressed in tissues of the emerging inflorescence, pollen, and developing ovules, Plant Mol. Biol. 33(1):125–139 (1997). 29. Griffith ME, Mayer U, Capron A, Ngo QA, Surendrarao A, McClinton R, Jürgens G, Sundaresan V, The TORMOZ gene encodes a nucleolar protein required for regulated division planes and embryo development in Arabidopsis, Plant Cell 19(7):2246–2263 (2007).

Natl. Acad. Sci. USA 97(9):4535–4540 (April 2000). 6. Srivastava L, Plant Growth and Development: Hormones and Environment, Academic Press, New York, 2002. 7. Whang SS, Confocal microscopy study of Arabidopsis embryogenesis using GFP:mTn, J. Plant Biol. 52(4):312–318 (Aug. 2009). 8. Proseus TE, Boyer SB, Turgor pressure moves polysaccharides into growing cell walls of Chara corallina, Ann. Bot. 95(6):967–979 (2005). 9. Cosgrove DJ, Loosening of plant cell walls by expansins, Nature 407(21):321–326 (Sept.

The internal factor, the Ser/Thr kinase PINOID (PID) [20], plays a central role in the control of apical–basal PIN targeting [15]. The PID phosphorylates Ser337 and/or Thr340 in the central hydrophilic loop of PIN proteins and PP2A phosphatase antagonizes this action. It has been observed that when PIN is in dephosphorylated form, basal PIN polar targeting occurs, and in phosphorylated state apical trafficking is preferred [21]. Thus the phosphorylaion acts as an internal signal for PIN polarization.

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