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.

Show description

Read Online or Download Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics PDF

Best bioinformatics books

Genome Exploitation: Data Mining the Genome

Genome Exploitation: facts Mining the Genome is constructed from the twenty third Stadler Genetic Symposium. This quantity discusses and illustrates how scientists are going to represent and utilize the big quantity of knowledge being accrued in regards to the plant and animal genomes. Genome Exploitation: facts Mining the Genome is a cutting-edge photo on mining the Genome databases.

Adhesion Protein Protocols

The second one version of Adhesion Protein Protocols combines conventional ideas with state-of-the-art and novel options that may be tailored simply to diversified molecules and mobile varieties. the subjects mentioned during this up to date moment variation contain novel ideas for learning cell-cell adhesion, neutrophil chemotaxis, in vitro assays used to review leukocyte migration via monolayers of cultured endothelial cells, and novel suggestions to purify pseudopodia from migratory cells.

Discrete Optimization for TSP-Like Genome Mapping Problems (Genetics-Research and Issues)

This publication introduces a discrete optimisation method in 4 functions: vintage tourist shop clerk challenge (TSP), Multilocus Genetic Mapping, Multilocus Consensus Genetic Mapping, and actual Mapping. all of the 4 sections comprises the matter formula, description of the set of rules, and experimental effects.

Methods for Computational Gene Prediction

Inferring the ideal destinations and splicing styles of genes in DNA is a tough yet very important activity, with extensive functions to biomedicine. The mathematical and statistical strategies which were utilized to this challenge are surveyed and arranged right into a logical framework according to the idea of parsing.

Additional info for Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics

Example text

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 [40]. 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 [47].

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.

Download PDF sample

Rated 4.15 of 5 – based on 50 votes