By Ying Xu, Dong Xu, Jie Liang
Quantity of this two-volume series provides a accomplished evaluate of protein constitution prediction equipment and comprises protein threading, De novo tools, purposes to membrane proteins and protein complexes, structure-based drug layout, in addition to constitution prediction as a platforms challenge. a chain of appendices evaluate the organic and chemical fundamentals concerning protein constitution, computing device technology for structural informatics, and prerequisite arithmetic and facts.
Read Online or Download Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction (Biological and Medical Physics, Biomedical Engineering) PDF
Best bioinformatics books
Rapid Notes in Bioinformatics, offers concise but accomplished assurance of bioinformatics at an undergraduate point, with easy accessibility to the basics during this complicated box. the entire vital components in bioinformatics are lined in a structure that's excellent for studying and quick revision and reference.
This e-book constitutes the refereed lawsuits of the ninth overseas Symposium on Bioinformatics examine and functions, ISBRA 2013, held in Charlotte, NC, united states, in may possibly 2013. The 25 revised complete papers offered including four invited talks have been rigorously reviewed and chosen from forty six submissions.
Deciding on causal genes underlying susceptibility to human sickness is an issue of basic significance within the post-genomic period and in present biomedical learn. lately, there was a paradigm shift of such gene-discovery efforts from infrequent, monogenic stipulations to universal “oligogenic” or “multifactorial” stipulations reminiscent of bronchial asthma, diabetes, cancers and neurological problems.
Lately molecular biology has gone through exceptional improvement producing giant amounts of knowledge desiring refined computational tools for research, processing and archiving. This requirement has given start to the really interdisciplinary box of computational biology, or bioinformatics, a topic reliant on either theoretical and useful contributions from statistics, arithmetic, desktop technology and biology.
- Genome Sequencing Technology and Algorithms
- Unsupervised Classification: Similarity Measures, Classical and Metaheuristic Approaches, and Applications
- Complex-Valued Neural Networks
- Bioinformatics. Methods and Protocols in Molecular Biology
- Functional Coherence of Molecular Networks in Bioinformatics
- Complex-valued Neural Networks: Utilizing High-dimensional Parameters (Premier Reference Source)
Additional info for Computational Methods for Protein Structure Prediction and Modeling: Volume 2: Structure Prediction (Biological and Medical Physics, Biomedical Engineering)
To make prediction more accurate, some threading programs employ a two-stage strategy: (a) thread a query sequence against a representative structure database and to identify a few possible native-like structures, and (b) thread the query sequence against all family/superfamily members of the identified structures in (a). Certain preprocessing of the template database might be needed for some threading programs. 4, protein structure needs to be represented as structure graphs as required by the threading algorithm.
For simplicity of discussion, we can regard the length of the longer one to be infinite. It is not hard to convince ourselves that for a randomly selected DNA sequence, its best (local) alignment with the longer sequence will have a higher probability to have a better score than with the shorter sequence. The reason is that the longer sequence, by chance, should have a higher probability to have portions of its sequence similar to the query sequence, compared to the shorter sequence. This indicates that the background alignment-score distributions for the two "template" sequences are different.
2 depicts schematically the situation where each of the two substructures has a number ofstructural positions, which are close enough to structural positions in the other substructure so that their alignments with amino acids need to be considered when calculating the interaction energy in the other substructure. These structural positions can be considered as extended parts of the other substructure (shown as extended arms for each substructure in Fig. 2). The difference between these extended parts and the original positions ofa substructure is that when doing alignment 12.