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, tools, 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 study effects along novel algorithmic and AI tools for the research of protein information. in a single entire, self-contained quantity, Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics addresses key demanding situations dealing with either machine scientists and biologists, arming readers with instruments and strategies for studying and analyzing protein info and fixing quite a few organic problems.

Featuring a suite of authoritative articles by way of leaders within the box, this paintings makes a speciality of the research of protein sequences, constructions, and interplay networks utilizing either conventional algorithms and AI equipment. It additionally examines, in nice element, info guidance, simulation, experiments, assessment tools, and functions. Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics:

  • Highlights protein research functions reminiscent of protein-related drug job comparison
  • Incorporates salient case reports 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 resembling info mining and visualization
  • Includes many tables and illustrations demonstrating strategies and function figures

Algorithmic and synthetic Intelligence tools for Protein Bioinformatics is a necessary reference for bioinformatics experts in examine and undefined, and for a person wishing to raised comprehend the wealthy box of protein bioinformatics.

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Extra info for Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

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This shows the phylogenetic evolution of all those genes consequently. Therefore a genetic toolkit for plant development can be prepared considering all the protein molecules mentioned above as a future project. References 1. Floyd SK, Bowman JL, The ancestral development toolkit of land plants, Int. J. Plant Sci. 168(1):1–35 (2007). 62 2. Newman SA, The developmental genetic toolkit and the molecular homology–analogy paradox, Biol. Theory 1(1):12–16 (2006). 3. Kenrick P, Crane PR, The origin and early evolution of plants on land, Nature 389:33–39 (Sept.

11. Hall Q, Cannon MC, The cell wall hydroxyproline-rich glycoprotein RSH is essential for normal embryo development in Arabidopsis, Plant Cell 14:1161–1172 (2002). 12. Shevell DE, Leu WM, Gillmor CS, Xia G, Feldman KA, Chua NH, EMB30 is essential for normal cell division, cell expansion, and cell adhesion in Arabidopsis and encodes a protein that has similarity to Sec7, Cell 77:1051–1062 (1994). 13. Bonifacino JS, Jackson CL, Endosome-specific localization and function of the ARF activator GNOM, Cell 112(2):141–142 (2003).

12 Phylogenetic and functional evolutionary history of G proteins. 13 Phylogenetic and functional evolutionary history of NPH4TF. 14 Phylogenetic and functional evolutionary history of AGO10. 15 Phylogenetic and functional evolutionary history of LEAFY. 16 Phylogenetic and functional evolutionary history of FT protein. The ATEXP1 family protein provides a more general role in embryogenesis inferring turgor pressure. This expansin family protein AT1G69530 has been implicated in expansion of cell wall and organ initiation.

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