By Yi Pan, Jianxin Wang, Min Li
An in-depth examine the newest examine, 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 learn effects along novel algorithmic and AI equipment for the research of protein facts. in a single entire, self-contained quantity, Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics addresses key demanding situations dealing with either computing device scientists and biologists, arming readers with instruments and methods for interpreting and analyzing protein info and fixing numerous organic problems.
Featuring a set of authoritative articles via 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, information practise, simulation, experiments, review tools, and purposes. Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics:
- Highlights protein research purposes akin to protein-related drug job comparison
- Incorporates salient case reviews illustrating the right way to follow the equipment defined within the book
- Tackles the complicated dating among proteins from a platforms biology aspect of view
- Relates the subject to different rising applied sciences akin to info mining and visualization
- Includes many tables and illustrations demonstrating thoughts and function figures
Algorithmic and synthetic Intelligence equipment for Protein Bioinformatics is an important reference for bioinformatics experts in study and undefined, and for a person wishing to raised comprehend the wealthy box of protein bioinformatics.
Read or Download Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics PDF
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Extra resources for Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics
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 . Not only LEAFY can undergo cell-to-cell transport into the underlying L2 and L3 layers, but it also retains its biological activity after transport as a DNA binding transcription factor .
This stabilization hampers actin-dependent trafficking of auxin, causing a disturbance in the endocytosis, vesicle motility, and thus in the auxin transport. As a result, the plant development will be affected, since TIBA and PBA can disturb actin network in plant, by disrupting subcellular trafficking of PIN. Actin proteins are present in two forms: (1) G-actin or globular subunit and (2) F-actin or filament actin. Both F-actin and actin filaments are 41 polymeric form of monomeric G-actin. Actin binding proteins bundle actin filaments.
These bundles are often aligned with the long axis of the cells. The actin network is composed of complicated configuration of filaments and bundles surrounding nucleus. There are 10 actin genes in the Arabidopsis genome. Among them, eight functional genes can be divided, according to their patterns of expression in plant, into two groups: 1. Vegetative—ACT2, ACT7, and ACT8 2. Reproductive—ACT1, ACT3, ACT4, ACT11, and ACT12 These five reproductive genes are expressed predominantly in reproductive organs such as in pollen tubes, but also in some vegetative tissues.
Algorithmic and Artificial Intelligence Methods for Protein Bioinformatics by Yi Pan, Jianxin Wang, Min Li