Exploring protein sequence space using knowledge-based potentials

Knowledge-based potentials can be used to decide whether an amino. acid sequence is likely to fold into a prescribed native protein structure. We use this idea to survey the sequence-structure relations in protein space. In particular, we test the following two propositions which were found to be important for efficient evolution: the sequences folding into a particular native fold form extensive neutral networks that percolate through sequence space. The neutral networks of any two native folds approach each other to within a few point mutations. Computer simulations using two very different potential functions, M. Sippl's PP,OSA pair potential and a neural network based potential, are used to verify these claims. (C) 2001 Academic Press.