Algorithms for Computational Biology: Second International by Adrian-Horia Dediu, Francisco Hernández-Quiroz, Carlos PDF

By Adrian-Horia Dediu, Francisco Hernández-Quiroz, Carlos Martín-Vide, David A. Rosenblueth

ISBN-10: 331921232X

ISBN-13: 9783319212326

ISBN-10: 3319212338

ISBN-13: 9783319212333

This booklet constitutes the lawsuits of the second one overseas convention on Algorithms for Computational Biology, AICoB 2015, held in Mexico urban, Mexico, in August 2015.

The eleven papers awarded during this quantity have been conscientiously reviewed and chosen from 23 submissions. They have been geared up in topical sections named: genetic processing; molecular recognition/prediction; and phylogenetics.

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Additional info for Algorithms for Computational Biology: Second International Conference, AlCoB 2015, Mexico City, Mexico, August 4-5, 2015, Proceedings

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Science 329(5991), 559–562 (2010). 1187936 19. : Robust multicellular computing using genetically encoded NOR gates and chemical /‘wires/’. Nature 469(7329), 212–215 (2011). 1038/nature09565 Molecular Recognition/Prediction P2RANK: Knowledge-Based Ligand Binding Site Prediction Using Aggregated Local Features Radoslav Kriv´ ak(B) and David Hoksza FMP, Department of Software Engineering, Charles University in Prague, Malostransk´e n´ am. cz Abstract. The knowledge of protein-ligand binding sites is vital prerequisite for any structure-based virtual screening campaign.

Confirmed active sties), it may be necessary to perform blind docking which scans the whole protein surface. Compared to local docking it is generally less accurate and significantly more time consuming, which limits the size of compound libraries that is possible to screen [34]. Alternatively, ligand binding site prediction can be employed in such scenarios to generate and prioritize the locations on which to center subsequent docking procedure [23]. In a similar manner, binding site prediction could also be of great use in a related task of structure-based target prediction (or so called inverse virtual screening) [37].

Users can insert a request for a number of cloning sites (say 5) within the specification of devices with a simple directive: ATGC CLONING SITES : 5 General Strategy. atgc attempts to find a selection of restriction enzymes that cut only at the desired location in the final sequence. Since the restriction enzymes will cut the DNA string at any occurrence of their characteristic nucleotide sequence, they have to be chosen so as not to cut the DNA sequence anywhere else. Since restriction enzymes (and therefore cloning sequences) are in limited number, it might not be possible to find enough fitting restriction enzymes given a particular sequence.

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Algorithms for Computational Biology: Second International Conference, AlCoB 2015, Mexico City, Mexico, August 4-5, 2015, Proceedings by Adrian-Horia Dediu, Francisco Hernández-Quiroz, Carlos Martín-Vide, David A. Rosenblueth


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