title: Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
author: Richard Durbin
description: "The book is amply illustrated with biological applications and examples." Cell<br /><br />"...successfully integrates numerous probabilistic models with computational algorithms to solve molecular biology problems of sequence alignment...an excellent textbook selection for a course on bioinformatics and a very useful consultation book for a mathematician, statistician, or biometrician working in sequence alignment." Bulletin of Mathematical Biology<br /><br />"This is one of the more rewarding books I have read within this field. My overall evaluation is that this book is very good and a must read for active participants in the field. In addition, it could be particularly useful for molecular biologists" Theoretical Population Biology
zlib_text:  
  347 
  This page has been reformatted by Knovel to provide easier navigation. 
  Index 
  Index terms 
  Links 
  A 
  Absolute activity 
  11 
  Adair equation 
  209 
  Additivity of direct interaction 
  145 
  175 
  Allosteric regulation 
  264 
  Aspartate transcarbamoylase 
  277 
  Average correlation 
  164 
  201 
  B 
  Binding constants 
  average 
  335 
  for alkylated succinic acid 
  131 
  for benzen polycarboxylic acids 
  174 
  204 
  206 
  conditional 
  31 
  33 
  definition of 
  29 
  effective 
  99 
  142 
  of equilibrated and frozen-in system 
  62 
  intrinsic 
  29 
  nonintrinsic 
  34 
  for normal amines 
  47 
  48 
  for normal carboxylic acids 
  44 
  46 
  and probability 
  30 
  for protons in amino acids 
  121 
  123 
  193 
  
  348 
  Index terms 
  Links 
   
  This page has been reformatted by Knovel to provide easier navigation. 
  Binding constants (Continued) 
  for protons in diamines 
  120 
  for proteins on DNA 
  184 
  of substituted acetic acid 
  49 
  thermodynamic 
  34 
  thermodynamic interpretation of 
  31 
  for two protons on dicarboxylic acids 
  114 
  119 
  Bindi