Results 11 to 20 of about 114,349,436 (308)
THE IN SILICO PREDICTION OF PROMOTERS IN BACTERIAL GENOMES [PDF]
Genome Informatics 2007, 2007 In silico approaches to the identification of bacterial promoters are hampered by poor conservation of their characteristic binding sites. This suggests that the usual position weight matrix models of bacterial promoters are incomplete. A number of methods have been used to overcome this inadequacy, one of which is to incorporate structural properties ...
Towsey, Michael +3 more
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In silico pK a prediction [PDF]
Journal of Cheminformatics, 2012 The biopharmaceutical profile of a compound depends directly on the dissociation constants of its acidic and basic groups, commonly expressed as the negative decadic logarithm pKa of the acid dissociation constant (Ka). The acid dissociation constant (also protonation or ionization constant) Ka is an equilibrium constant defined as the ratio of the ...
Robert Körner +3 more
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In Silico Hemostasis Modeling and Prediction [PDF]
Hämostaseologie, 2020 AbstractComputational physiology, i.e., reproduction of physiological (and, by extension, pathophysiological) processes in silico, could be considered one of the major goals in computational biology. One might use computers to simulate molecular interactions, enzyme kinetics, gene expression, or whole networks of biochemical reactions, but it is (patho)
Dmitry Y, Nechipurenko +3 more
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In-silico TAT-PTD prediction for cell penetrating peptides
, 2007 Cell Penetrating Peptides (CPP) enhance transport of membrane and secretory proteins across hydrophobic membranes. Natural or synthetic CPP water soluble peptides translocate across cell membranes and are used for intracellular delivery of large ...
Aggarwal, A. +4 more
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In Silico Protein Motif Discovery and Structural Analysis [PDF]
, 2021 A wealth of in silico tools is available for protein motif discovery and structural analysis. The aim of this chapter is to collect some of the most common and useful tools and to guide the biologist in their use.
Davey, Norman E. +5 more
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AllerTOP - a server for in silico prediction of allergens [PDF]
BMC Bioinformatics, 2013 Abstract Background Allergy is a form of hypersensitivity to normally innocuous substances, such as dust, pollen, foods or drugs. Allergens are small antigens that commonly provoke an IgE antibody response. There are two types of bioinformatics-based allergen prediction.
Ivan Dimitrov +2 more
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Pharmaceuticals, 2021 In recent years, a number of machine learning models for the prediction of the skin sensitization potential of small organic molecules have been reported and become available. These models generally perform well within their applicability domains but, as
Anke Wilm +7 more
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In silico prediction of the granzyme B degradome [PDF]
BMC Genomics, 2011 Granzyme B is a serine protease which cleaves at unique tetrapeptide sequences. It is involved in several signaling cross-talks with caspases and functions as a pivotal mediator in a broad range of cellular processes such as apoptosis and inflammation.
Wee Lawrence JK +3 more
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The acceptance of
, 2011 In silico models have prompted considerable interest and debate because of their potential value in predicting the properties of chemical substances for regulatory purposes.
Antonio Cassano +31 more
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In-Silico Structural prediction and functional annotation of uncharacterized protein Q7TLC7 (Y14_SARS) presence in SARS-COV2 [PDF]
, 2021 Protein structure prediction strategies point to predict the structures of proteins from their amino acid sequences, utilizing different computational calculations.
Rumana Akter, Rumi, MD. Ashiqur , Rahman
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