TY - JOUR
T1 - Favorable scaffolds
T2 - Proteins with different sequence, structure and function may associate in similar ways
AU - Keskin, Ozlem
AU - Nussinov, Ruth
N1 - Funding Information:
We thank S.Mintz for her help in crystal interfaces. We thank Drs B.Ma, C.-J.Tsai, Y.Pan, K.Gunasekaran, D.Zanuy, H.-H(G).Tsai and members of the Nussinov–Wolfson group, in particular Maxim Shatsky for help with Multi-Prot. We thank Dr Jacob V.Maizel for encouragement. We thank Dr A.Gursoy and S.Aytuna for helpful discussions. The research of R.Nussinov in Israel has been supported in part by the Center of Excellence in Geometric Computing and its Applications funded by the Israel Science Foundation (administered by the Israel Academy of Sciences). This project has been funded in whole or in part with Federal funds from the National Cancer Institute, National Institutes of Health, under contract number NO1-CO-12400.
PY - 2005/1
Y1 - 2005/1
N2 - Proteins with similar structures may have different functions. Here, using a non-redundant two-chain protein-protein interface dataset containing 103 clusters, we show that this paradigm extends to interfaces. Whereas usually similar interfaces are obtained from globally similar chains, this is not always the case. Remarkably, in some interface clusters, although the interfaces are similar, the overall structures and functions of the chains are different. Hence, our work suggests that different folds may combinatorially assemble to yield similar local interface motifs. The preference of different folds to associate in similar ways illustrates that the paradigm is universal, whether for single chains in folding or for protein-protein association in binding. We analyze and compare the two types of clusters. Type I, with similar interfaces, similar global structures and similar functions, is better packed, less planar, has larger total and non-polar buried surface areas, better complementarity and more backbone-backbone hydrogen bonds than Type II (similar interfaces, different global structures and different functions). The dataset clusters may provide rich data for protein-protein recognition, cellular networks and drug design. In particular, they should be useful in addressing the difficult question of what the favorable ways for proteins to interact are.
AB - Proteins with similar structures may have different functions. Here, using a non-redundant two-chain protein-protein interface dataset containing 103 clusters, we show that this paradigm extends to interfaces. Whereas usually similar interfaces are obtained from globally similar chains, this is not always the case. Remarkably, in some interface clusters, although the interfaces are similar, the overall structures and functions of the chains are different. Hence, our work suggests that different folds may combinatorially assemble to yield similar local interface motifs. The preference of different folds to associate in similar ways illustrates that the paradigm is universal, whether for single chains in folding or for protein-protein association in binding. We analyze and compare the two types of clusters. Type I, with similar interfaces, similar global structures and similar functions, is better packed, less planar, has larger total and non-polar buried surface areas, better complementarity and more backbone-backbone hydrogen bonds than Type II (similar interfaces, different global structures and different functions). The dataset clusters may provide rich data for protein-protein recognition, cellular networks and drug design. In particular, they should be useful in addressing the difficult question of what the favorable ways for proteins to interact are.
KW - Interface motifs
KW - Protein architecture
KW - Protein-protein binding
KW - Protein-protein interaction
KW - Protein-protein interfaces
UR - http://www.scopus.com/inward/record.url?scp=17144366191&partnerID=8YFLogxK
U2 - 10.1093/protein/gzh095
DO - 10.1093/protein/gzh095
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C2 - 15790576
AN - SCOPUS:17144366191
SN - 1741-0126
VL - 18
SP - 11
EP - 24
JO - Protein Engineering, Design and Selection
JF - Protein Engineering, Design and Selection
IS - 1
ER -