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108  MACROMOLECULAR CRYS TALLOGRAPHY

        model(s), EPMR (Kissinger et al., 1999, 2001) to  explored, with very promising results. It is well
        do molecular replacement and CNS (Brünger et al.,  known that many proteins can exist in several struc-
        1998) to refine the model(s). In addition, the authors  tural states, such as open or closed, depending on
        use their own local version of ARP/wARP, called  the presence of one of their substrates. The RMSD
        Shake-and-wARP, to attempt automatic building of  between the two forms is such that if one tries to
        the model in the electron density map. Clearly,  solve the MR with the wrong form, MR will fail,
        many combinations of such protocols are possible,  while it might succeed if one uses the other form. Of
        by using different software at each step of the whole  course, one might try to use both, but it may well be
        process.                                     that all accessible structural states of a given protein
                                                     are not deposited in the PDB.
                                                      Hinge-bending as well as shear movements have
        7.9.3 G. Labesse and L. Martin (GTBio, Lyon,
        June 2004)                                   been documented over the years, with RMSD
                                                     between the two forms of the same proteins
        In this case, the @TOME meta server (Douguet  spanning a very large range. While hinge-bending
        and Labesse, 2001) is used to detect low struc-  movements can, in principle, be tackled by dividing
        tural homology three-dimensional models, as a  the protein into individual domains and then solv-
        consensus between six different ‘threading servers’.  ing the MR problem for each of the domains,
        Then, after model building by Modeller (Sali and  other types of movements are very difficult to
        Blundell, 1993), MolRep (Vagin and Teplyakov, 1997;  deal with, especially as they are very collective
        2000) is run, followed by refinement using Refmac  and involve the coordinated movement of many
        (Murshudov et al., 1997). In some instances, this  atoms. Recently, however, it has become appar-
        suite of programs was able to find the MR solution  ent that most structural transitions observed in
        using a model with sequence identity as low as 20%  the PDB can be modelled quite accurately by the
        (G. Labesse, personal communication).        low-frequency Normal Modes derived from a sim-
                                                     plified representation of the protein, namely the
                                                     Elastic Network Model (Krebs et al., 2002). The
        7.9.4 MrBump (Keegan and Wynn, 2007)
                                                     Elastic Network Model (Fig. 7.4) is a simplified
        This is the most complete program, downloadable  representation of a protein where each residue is
        from CCP4 web site www.ccp4.ac.uk/MrBUMP.    represented by a single point that is linked to its
        Sequence multialignment is performed by MAFFT  spatial neighbours (within a given radius, usually
        or ClustalW. The model is edited using four differ-  taken as 8–12 Ångstroms) by a spring of constant
        ent protocols, including CHAINSAW and the one  strength (Tirion, 1996); it works surprisingly well
        available in MOLREP. Then either Phaser or Mol-  despite its simplicity and is by construction most
        Rep is used for MR and finally Refmac is used  apt to model collective movements (Delarue and
        for refinement. The approach is intended more to  Sanejouand, 2000). In fact, it has been shown that
        be exhaustive than fast, but this is not a problem  most movements can be modelled with, on aver-
        with current computers. The philosophy is sum-  age, only two normal modes (Krebs et al., 2002).
        marized by the author’s following statement: ‘It is  As a result of advances in the computation of
        concluded that exploring a range of search models  such modes, there is virtually no limit to the size
        automatically can be valuable in many cases’.  of the macromolecular assembly for which low-
                                                     frequency normal modes can be calculated (Tama
                                                     and Sanejouand, 2001).
        7.10 Making the most of your model
        using normal modes: pushing towards           Recently, two independent applications of these
        the systematic exploration of structural     ideas to MR have been described (Fig. 7.5):
        diversity
                                                     • One is intended to produce structural diversity
        A new way to take into account the structural  in the model by grid-sampling the amplitudes of
        variability of protein structures is being actively  (at most) two of the lowest-frequency normal modes;
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