By Yi Pan, Jianxin Wang, Min Li
An in-depth examine the most recent study, tools, and purposes within the box of protein bioinformatics
This booklet offers the most recent advancements in protein bioinformatics, introducing for the 1st time state of the art examine effects along novel algorithmic and AI tools for the research of protein info. 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 methods for studying and reading protein facts and fixing a number of 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 tools. It additionally examines, in nice aspect, information practise, simulation, experiments, overview equipment, and purposes. Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics:
- Highlights protein research functions corresponding to protein-related drug task comparison
- Incorporates salient case stories illustrating the right way to follow the tools defined within the book
- Tackles the complicated dating among proteins from a structures biology aspect of view
- Relates the subject to different rising applied sciences akin to info mining and visualization
- Includes many tables and illustrations demonstrating recommendations and function figures
Algorithmic and synthetic Intelligence tools 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.
Read Online or Download Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics PDF
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Additional info for Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics
Many transcription factors can move between cells through plasmodasmata. Not all transcription factors move freely in the plant, because there are active mechanisms that regulate transcription factor movement . Shoot apical meristem (SAM) consists of three tissue layers: the outermost layer (L1), the subsurface layer (L2), and the inner layer (L3). Within floral meristems LEAFY is expressed as mRNA in cells of L1 layer. Previously, LEAFY protein was found in a gradient that extended into several interior cell layers .
Sci. Topics, Aug. html). 5. Graham LE, Cook ME, Busse JS, The origin of plants: Body plan changes contributing to a major evolutionary radiation, Proc. 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.
The labels next to the branches indicate the branch length of the specific plant clade. 6 Phylogenetic and functional evolutionary history of ATEXP1 genes. 7 Phylogenetic analysis of extensin genes in PHYTOZOME. 8 Phylogenetic and functional evolutionary history of GNOM genes. 9 Phylogenetic and functional evolutionary history of TORMOZ genes. 10 Phylogenetic and functional evolutionary history of PIN genes. 11 Phylogenetic and functional evolutionary history of ACTIN genes. 12 Phylogenetic and functional evolutionary history of G proteins.