![]() | ![]() |
Formats:
|
||||||||||||||||||||||||
Copyright © 2008 by The National Academy of Sciences of the USA Chemistry, Biophysics Preferred side-chain constellations at antiparallel coiled-coil interfaces †Department of Chemistry, University of Wisconsin, Madison, WI 53706; ‡School of Chemistry, University of Bristol, Bristol BS8 1TS, United Kingdom; and §Department of Biochemistry, University of Bristol, Bristol BS8 1TD, United Kingdom ¶To whom correspondence may be addressed. E-mail: d.n.woolfson/at/bristol.ac.uk or Email: gellman/at/chem.wisc.edu Edited by Alan R. Fersht, University of Cambridge, Cambridge, United Kingdom, and approved November 21, 2007 Author contributions: E.B.H., O.D.T., D.N.W., and S.H.G. designed research; E.B.H. and O.D.T. performed research; E.B.H., O.D.T., D.N.W., and S.H.G. analyzed data; and E.B.H., D.N.W., and S.H.G. wrote the paper. Received September 24, 2007. This article has been cited by other articles in PMC.Abstract Reliable predictive rules that relate protein sequence to structure would facilitate postgenome predictive biology and the engineering and de novo design of peptides and proteins. Through a combination of experiment and analysis of the protein data bank (PDB), we have deciphered and rationalized new rules for helix–helix interfaces of a common protein-folding and association motif, the antiparallel dimeric coiled coil. These interfaces are defined by a specific pattern of interactions among largely hydrophobic side chains often referred to as knobs-into-holes (KIH) packing: a knob from one helix inserts into a hole formed by four residues on the partner. Previous work has focused on lateral interactions within the KIH motif, for example, between an a position on one helix and a d′ position on the other in an antiparallel coiled coil. We show that vertical interactions within the KIH motif, such as a′-a–a′, are energetically important as well. The experimental and database analyses concur regarding preferred vertical combinations, which can be rationalized as leading to favorable side-chain interactions that we call constellations. The findings presented here highlight an unanticipated level of complexity in coiled-coil interactions, and our analysis of a few specific constellations illustrates a general, multipronged approach to addressing this complexity. Keywords: backbone thioester exchange, knobs-into-holes packing, peptides, protein design, protein folding The α-helical coiled coil is a ubiquitous oligomerization domain found in a wide variety of proteins (1, 2). Coiled-coil interactions direct and stabilize the multimerization of transcription factors, motor proteins, cytoskeleton components, extracellular matrix components, and membrane-fusion machinery (3, 4). It has been estimated that 3–5% of translated protein sequences encode coiled-coil domains (5); indeed, we find that, of the current 46,968 entries in the protein databank (PDB), 2,738 (5.8%) contain coiled-coil interactions of some type (O.D.T. and D.N.W., unpublished data). Thus, deciphering rules that link the sequences of coiled coils to their assembly would have an impact on many aspects of postgenome predictive biology (6) and aid our ability to engineer or even design protein–protein interactions (1, 7, 8). The effects of sequence variation on coiled-coil stability have been widely studied (9–16), but substantial gaps in our understanding remain. For example, the vast majority of prior efforts have focused on parallel coiled-coil homo dimers, but other coiled-coil states are seen in Nature. Oligomers ranging from trimer through dodecamer have been observed, as have structures with different types (hetero-oligomers) or arrangements (parallel vs. antiparallel) of helices (3, 13, 17). In particular, antiparallel coiled-coil dimers have received little attention despite increasing recognition of their structural and functional importance both as stand-alone motifs and as components of globular protein architectures. In the PDB, for example, we find 1,273 coiled-coil structures with ≤70% sequence identity; of these, 800 (63%) are antiparallel dimeric coiled coils (O.D.T. and D.N.W., unpublished data). Among this subset, 661 (83%) are intramolecular and the remainder are intermolecular helix associations (13, 18). Even among the widely studied parallel coiled coils, only a limited set of factors has been shown to influence stability (1–4), and it seems likely that important determinants of stability and selectivity remain to be identified. Here, we show that largely overlooked patterns of side-chain packing at the interhelical interface contribute to antiparallel coiled-coil dimerization selectivity. We use a unique experimental approach to evaluate the energetic significance of certain side-chain juxtapositions that have not been examined. We show how seemingly subtle side-chain variations can lead to surprising levels of dimerization preference. Furthermore, we demonstrate that findings from the model system reflect preferences among coiled-coil proteins of known three-dimensional structure. As is true for all coiled coils, the formation of antiparallel coiled-coil dimers is driven by the burial of hydrophobic side chains arranged along one side of each participating α-helix. The helices typically display a “heptad repeat” of amino acid residues, with the heptad positions designated abcdefg. Hydrophobic side chains at a and d align to create the dimerization interface. Two or more such interfaces come together through the interdigitation of side chains, which Crick described as “knobs-into-holes packing” (KIH) (19). As illustrated in Fig. 1
Most prior analyses of a or d side-chain interactions at the interface have focused on lateral interactions with a′ or d′ partners (the prime indicates that the residue resides in a different helix). Extensive work by Vinson et al., for example, has shown that the contribution of a given buried a side chain to parallel coiled-coil dimer stability depends on the identity of the lateral hydrophobic packing partner (a-a′ interaction) (9, 12). We have recently shown that lateral partners (a-d′) influence antiparallel coiled-coil stability (20). To our knowledge, however, the contribution of vertical side-chain contacts to coiled-coil stability and pairing selectivity has not been analyzed in detail for either parallel or antiparallel coiled coils (21). Indeed, given the amount of work necessary for previous studies of lateral pairing, the prospect of extending such an effort to examine vertical contacts might seem operationally daunting (9–16). We have recently developed an experimental design that facilitates the rapid study of sequence–stability relationships among antiparallel coiled coils (20, 22–24). Our model system (NT-C; Fig. 2
Here, we build on this experimental design to show that: (i) certain combinations of residues in the vertical a′-a–a′ constellations are favored over others; (ii) vertical a′-a–a′ constellations contribute significantly to stability and specificity in antiparallel coiled-coil dimers; (iii) our findings are robust and not system-dependent; (iv) the preferred combinations are mirrored in coiled coils of known three-dimensional structure; and (v) there is an energetically significant interplay among lateral and vertical interactions. Vertical Contacts Affect Antiparallel Coiled-Coil Specificity and Stability. The vertical contact residues for the guest site at a in our model system are designated a1′ and a2′; Figs. 2
To isolate the energetic contribution to coiled-coil pairing preference of vertical contacts within the a2′-a-a2′ triad, we can consider hypothetical equilibria such as the one illustrated in Fig. 4 ΔGTE values for each of the four coiled coils in Fig. 4 Testing the Ile/Leu Triads in an Independent System. The information gleaned from our thioester-based model system will not be useful unless it is broadly applicable to antiparallel coiled-coil dimers. We turned our attention to a different system to test generality. Very few heterodimeric antiparallel coiled coils have been subjected to careful biophysical scrutiny (18); among the best-characterized examples is a design generated by Oakley et al. (25) This system consists of negatively charged (“acid”) and positively charged (“base”) partners. The hydrophobic core comprises primarily leucine residues, with Asn at a single a position on each component to control relative helix orientation. The Oakley system is illustrated in Fig. 5
In the Oakley heterodimer, the side chain from residue a*, an a position on the acid peptide, fits into a hole on the base peptide defined by one lysine and three leucine residues (which include a1′* and a2′*). We prepared the a* = Ile mutant in addition to the original acid peptide. Two base peptides were prepared, the original sequence (a1′* = a2′* = Leu) and a double mutant (a1′* = a2′* = Ile), so that we could change the vertical contact residues for a*. We examined all four acid–base peptide pairings, that is, the coiled coils that contain all four possible vertical triads among Leu-Leu-Leu (the original Oakley design), Ile-Ile-Ile, Leu-Ile-Leu, and Ile-Leu-Ile. Analytical ultracentrifugation showed that each acid–base pair is dimeric [see supporting information (SI) Text]. Urea-denaturation experiments revealed significant differences in the four coiled-coil stabilities (Table 2). There is a reasonable correlation between ΔGUrea for the four acid–base peptide pairs and ΔGTE for the analogous members of the thioester system (Fig. 6
Analysis of Antiparallel Coiled-Coil Structures from the PDB. The energetic importance of vertical contacts in two antiparallel coiled-coil model systems led us to ask whether this pattern of side-chain interactions plays a role in natural coiled coils. We used the program SOCKET, which searches protein-structure coordinate files for KIH interactions characteristic of coiled-coil structures, and the SOCKET-derived database of structurally verified coiled coils, CC+ (13). Recently, we created an interface to search CC+ for various coiled-coil parameters, such as oligomer state and helix orientation, and also for more specific features, such as sequence motifs (O.D.T. and D.N.W., unpublished data). By using these resources, we searched the PDB for examples of antiparallel two-helix coiled-coil structures with 70% sequence identity or less. From this subset we culled examples of vertical residue triads (a′-a-a′) in which a was Leu or Ile and the residues at a′ were either both Ile or both Leu; these vertical triads allow comparison with our experimental studies. Defining the residues at each site in the a′-a–a′ vertical triads limited the number of coiled-coil substructures returned in our searches: there were 2,072 KIH interactions for all types of a′-a–a′ vertical triads in the subset of antiparallel two-helix coiled-coil structures, but only 162 that matched our constraints. Nonetheless, the number of structures was sufficient to perform reliable analyses and draw conclusions. Table 3 gives the raw counts for each of the residues at the central a position in the different vertical backgrounds, a′ = a′ = Ile or a′ = a′ = Leu. Expected numbers for each combination were calculated based on the frequencies of these residues at the a sites of all KIH interactions in the coiled-coil database with sequences ≤70% identical. The ratio of the observed/expected numbers is effectively a propensity for a side chain to be in the specified environment. Gratifyingly, the hetero-triads have favorable propensities (>1) and the homo-triads are disfavored, which is consistent with the model system results. Furthermore, by analogy with the theoretical equilibrium shown in Fig. 4
Preferred Side-Chain Constellations. For each of the homotypic and heterotypic vertical triads containing Leu and Ile residues, the structures found in the CC+ database were superimposed (Fig. 7
In a second mode of analysis, we examined the side-chain dihedral angles for all four vertical triads culled from the CC+ database (see SI Table 12). The results indicate that the hetero-triads sample fewer of the possible side-chain conformations than do the homo-triads. This trend supports the notion that the conformational space sampled is tighter for the favored hetero-triads than for the homo-triads. Indeed, for the hetero-triads, preferred side-chain conformations were apparent. For instance, the dominant constellation for Leu-Ile-Leu had Ile in the g −t conformation and both Leu in t g+; for Ile-Leu-Ile, the dominant constellation had the side-chain conformation pattern g −t, t g+, g −t. Each side-chain conformation in these dominant constellations is fully compatible with the α-helix. All Ile display the g −t conformation, which is the favored rotamer (81%) for Ile in α-helices (31), and all Leu display t g+, the second-most populated conformer (30%) for Leu in α-helices. Further inspection of the structures revealed that in the homo-triads only “glancing” contacts are made between individual methyl groups from different side chains. In contrast, in the favored hetero-triads more intimate contacts occur between side chains, with the terminal methyl groups of the knob making multiple contacts with the vertical partners to give “nested-packing” interactions (32). Interplay Among Vertical and Lateral Interactions. The analyses described above show that the data obtained by using our thioester-based antiparallel coiled-coil model system provide insight that is relevant to side-chain–side-chain packing preferences in natural coiled coils. This correlation encouraged further analysis of the data in Table 1. These ΔGTE data allow the calculation of 50 independent DELI(X/Y) values, for X = Leu, Ile, Val, Asn, or Ala and Y = Leu, Ile, Val, Asn, or Ala (see SI Tables 7–11). Each of these DELI(X/Y) values reflects an energetic comparison of two different antiparallel coiled-coil pairings: Leu-X-Leu plus Ile-Y-Ile vs. Leu-Y-Leu plus Ile-X-Ile. Because DELI(X/Y) is meaningless if X = Y, and because DELI(X/Y) = −DELI(Y/X), 10 independent DELI(X/Y) values result when X and Y each vary among five residues. The number of DELI(X/Y) values that can be calculated from our ΔGTE data expands by a factor of five because we have examined five different residues (Leu, Ile, Val, Asn, or Ala) as the lateral partner (d′) for the central residue in the a′-a-a′ vertical triads under scrutiny. Comparing these 5 sets of 10 DELI(X/Y) values should indicate whether there is an energetically significant interplay between the lateral a-d′ and the vertical a′-a-a′ interactions experienced by a given a residue when it occupies its hole on the partner helix. As a prelude to exploring the interplay between lateral and vertical interactions, we used an absolute DELI value of ≥0.4 kcal/mol (twice the estimated experimental uncertainty) as the criterion to identify those cases in which there is a significant preference for one pair of dimers relative to the alternative pair. By this criterion, 21 of the DELI values generated from our ΔGTE data (42%) are significant. This proportion indicates that the impact of vertical interactions within antiparallel coiled coils is not limited to the Leu-Ile combinations examined above, but rather that many vertical triads can exert a substantial influence on antiparallel coiled-coil dimerization selectivity. Comparison among the five sets of 10 DELI(X/Y) values indicates that there is an energetically significant interplay between the lateral partner d′ and the vertical partners a′ in their interactions with an a residue from the partner helix (a knob fitting into an a′, d′, a′, e′ hole). We illustrate this point in Fig. 8
Conclusions. We have uncovered a substantial thermodynamic influence exerted by previously unexplored patterns of intermolecular side-chain contacts at antiparallel coiled-coil interfaces. Our results provide the first quantitative analysis of vertical contact effects on coiled-coil pairing preference. Data derived from model systems indicate that vertical packing interactions involving buried side chains at a positions of the coiled-coil heptad repeat can have a significant effect on antiparallel dimerization selectivity. This trend is found in natural antiparallel coiled-coil dimers of known structure, with certain a′-a-a′ hetero-triads, Ile-Leu-Ile and Leu-Ile-Leu, favored relative to the corresponding homo-triads. Analyses of the favored structural motifs reveal preferred constellations in which the side chains adopt favorable dihedral angles and form intimate contacts. Based on these results, it seems likely that vertical interactions represent an important but largely unrecognized component of the “code” that determines coiled-coil interaction preferences in complex biological environments. Past studies of coiled-coil pairing preferences, mostly involving parallel dimers, have identified relatively few mechanisms by which selectivity can be achieved. This limited set of rules has allowed considerable progress in the areas of coiled-coil prediction and design (1, 3), but our findings suggest that additional advances will be possible based on a more sophisticated treatment. Previously elucidated factors include lateral pairing of nonpolar side chains (9–16), which is driven by stereochemical complementarity, and lateral pairing of polar side chains (9–16, 33), which is driven by hydrogen bonding (at least for Asn-Asn pairs). In addition, pairing preferences are influenced by the electrostatic interactions (attractive or repulsive) between ionized side chains (34–39). Our findings indicate that vertical interactions must be considered as well if we are to understand the origins of dimerization selectivity among natural coiled-coil sequences and expand current abilities to predict and design such interactions. Here, we have explicitly addressed interactions associated with a′-a-a′ vertical triads in antiparallel dimers, but the approaches we have used can readily be extended to d′-d-d′-type vertical interactions at antiparallel coiled-coil interfaces, to d′-a-d′ and a′-d-a′ vertical interactions at parallel coiled-coil interfaces, and to other more-complex combinations of side chains. In addition to highlighting the role of vertical contacts at coiled-coil interfaces, our results show that simple pairwise analysis of side-chain–side-chain interactions at such interfaces does not fully capture the factors that control stability or partner preference. High-fidelity interactions are common and necessary in biology, and proteins must find their partners in the cellular milieu efficiently and without engaging in promiscuous associations. Coiled-coil motifs represent a natural mechanism for guiding and cementing protein–protein interactions. Because 3–5% of the proteome is estimated to encode such motifs (5), however, selectivity in coiled-coil pairing constitutes an extraordinary feat of molecular recognition and discrimination. Our results provide an expanded framework for exploring partner selectivity among natural coiled-coil sequences and for designing new sequences that display high-fidelity pairing with a specified partner. Methods Backbone Thioester Exchange Assays. Assays were typically initiated by mixing ≈0.1 mM each peptide in 50 mM buffer (phosphate, pH 7) and by allowing equilibration for 90 min. Details are provided in SI Text. Analysis of PDB Structures. The November 1, 2007, release of the PDB (40) was searched for helix–helix interactions with knobs-into-holes packing by using the program SOCKET (14) with a packing cutoff of 7.0 Å. More sophisticated searches were used to create a subset comprising two-helix, antiparallel coiled-coil motifs with 70% sequence identity at the most, and with α-helices longer than 11 aa. Full details of CC+ and our analysis interface will be presented elsewhere. Amino acid frequencies from this subset of interactions were normalized as described in the text. Supporting Information
ACKNOWLEDGMENTS. We thank Josh Price for assistance with the CD data workup and Beth Bromley for valuable discussions on mutant cycles. T his work was supported National Institutes of Health Grant GM-61238, and by a Biotechnology and Biological Sciences Research Council and Engineering and Physical Sciences Research Council (United Kingdom) studentship (to O.D.T.). Footnotes The authors declare no conflict of interest. This article is a PNAS Direct Submission. This article contains supporting information online at www.pnas.org/cgi/content/full/0709068105/DC1. References 1. Woolfson DN. Adv Protein Chem. 2005;70:79–116. [PubMed] 2. Mason JM, Arndt KM. ChemBioChem. 2004;5:170–176. [PubMed] 3. Lupas A. Trends Biochem Sci. 1996;21:375–382. [PubMed] 4. Gruber M, Lupas AN. Trends Biochem Sci. 2003;28:679–685. [PubMed] 5. Wolf E, Kim PS, Berger B. Prot Sci. 1997;6:1179–1189. 6. Fong JH, Keating AE, Singh M. Genome Biol. 2004;5:R11. [PubMed] 7. Hill RB, Raleigh DP, Lombardi A, DeGrado WF. Acc Chem Res. 2000;33:745–754. [PubMed] 8. Petka WA, Harden JL, McGrath KP, Wirtz D, Tirrell DA. Science. 1998;281:389–392. [PubMed] 9. Acharya A, Rishi V, Vinson C. Biochemistry. 2006;45:11324–11332. [PubMed] 10. Mason JM, Schmitz MA, Muller K, Arndt KM. Proc Natl Acad Sci USA. 2006;103:8989–8994. [PubMed] 11. Havranek JJ, Harbury PB. Nat Struct Biol. 2003;10:45–52. [PubMed] 12. Acharya A, Ruvinov SB, Gal J, Moll JR, Vinson C. Biochemistry. 2002;41:14122–14131. [PubMed] 13. Walshaw J, Woolfson DN. J Mol Biol. 2001;307:1427–1450. [PubMed] 14. Keating AE, Malashkevich VN, Tidor B, Kim PS. Proc Natl Acad Sci USA. 2001;98:14825–14830. [PubMed] 15. Tripet B, Wagschal K, Lavigne P, Mant CT, Hodges RS. J Mol Biol. 2000;300:377–402. [PubMed] 16. Wagschal K, Tripet B, Lavigne P, Mant C, Hodges RS. Protein Sci. 1999;8:2312–2329. [PubMed] 17. Walshaw J, Woolfson DN. J Struct Biol. 2003;144:349–361. [PubMed] 18. Oakley MG, Hollenbeck JJ. Curr Opin Struct Biol. 2001;11:450–457. [PubMed] 19. Crick FHS. Acta Crystallogr. 1953;6:689–697. 20. Hadley EB, Gellman SH. J Am Chem Soc. 2006;128:16444–16445. [PubMed] 21. Kwok SC, Hodges RS. J Biol Chem. 2004;279:21576–21588. [PubMed] 22. Woll MG, Gellman SH. J Am Chem Soc. 2004;126:11172–11174. [PubMed] 23. Woll MG, Hadley EB, Mecozzi S, Gellman SH. J Am Chem Soc. 2006;128:15932–15933. [PubMed] 24. Hadley EB, Witek AM, Freire F, Peoples AJ, Gellman SH. Angew Chem Int Ed. 2007;46:7056–7059. 25. McClain DL, Woods HL, Oakley MG. J Am Chem Soc. 2001;123:3151–3152. [PubMed] 26. Lumb KJ, Kim PS. Biochemistry. 1995;34:8642–8648. [PubMed] 27. Harbury PB, Zhang T, Kim PS, Alber T. Science. 1993;262:1401–1407. [PubMed] 28. Bilgicer B, Xing X, Kumar K. J Am Chem Soc. 2001;123:11815–11816. [PubMed] 29. Rohl CA, Baldwin RL. Biochemistry. 1994;33:7760–7767. [PubMed] 30. Hutchinson EG, Sessions RB, Thornton JM, Woolfson DN. Protein Sci. 1998;7:2287–2300. [PubMed] 31. Lovell SC, Word JM, Richardson JS, Richardson DC. Proteins. 2000;40:389–408. [PubMed] 32. Wouters MA, Curmi PMG. Proteins. 1995;22:119–131. [PubMed] 33. Gonzalez L, Woolfson DN, Alber T. Nat Struct Biol. 1996;3:1011–1018. [PubMed] 34. Krylov D, Mikhailenko I, Vinson C. EMBO J. 1994;13:2849–2861. [PubMed] 35. Grigoryan G, et al. PloS Comp Biol. 2006;2:551–563. 36. Campbell KM, Lumb KJ. Biochemistry. 2002;41:7169–7175. [PubMed] 37. Burkhard P, Ivaninskii S, Lustig A. J Mol Biol. 2002;318:901–910. [PubMed] 38. McClain DL, Gurnon DG, Oakley MG. J Mol Biol. 2002;324:257–270. [PubMed] 39. Ryan SJ, Kennan AJ. J Am Chem Soc. 2007;129:10255–10260. [PubMed] 40. Bernstein FC, et al. J Mol Biol. 1977;112:535–542. [PubMed] 41. Feig, et al. MMTSB Tool Set. La Jolla, CA: MMTSB NIH Research Resource, The Scripps Research Institute; 2001. 42. DeLano WL. The PyMOL Molecular Graphics System. Palo Alto, CA: DeLano Scientific; 2002. |
PubMed related articles
Your browsing activity is empty. Activity recording is turned off. |
|||||||||||||||||||||||
Adv Protein Chem. 2005; 70():79-112.
[Adv Protein Chem. 2005]Chembiochem. 2004 Feb 6; 5(2):170-6.
[Chembiochem. 2004]Trends Biochem Sci. 1996 Oct; 21(10):375-82.
[Trends Biochem Sci. 1996]Trends Biochem Sci. 2003 Dec; 28(12):679-85.
[Trends Biochem Sci. 2003]Genome Biol. 2004; 5(2):R11.
[Genome Biol. 2004]Biochemistry. 2006 Sep 26; 45(38):11324-32.
[Biochemistry. 2006]Proc Natl Acad Sci U S A. 2006 Jun 13; 103(24):8989-94.
[Proc Natl Acad Sci U S A. 2006]Nat Struct Biol. 2003 Jan; 10(1):45-52.
[Nat Struct Biol. 2003]Biochemistry. 2002 Dec 3; 41(48):14122-31.
[Biochemistry. 2002]J Mol Biol. 2001 Apr 13; 307(5):1427-50.
[J Mol Biol. 2001]Biochemistry. 2006 Sep 26; 45(38):11324-32.
[Biochemistry. 2006]Biochemistry. 2002 Dec 3; 41(48):14122-31.
[Biochemistry. 2002]J Am Chem Soc. 2006 Dec 27; 128(51):16444-5.
[J Am Chem Soc. 2006]J Biol Chem. 2004 May 14; 279(20):21576-88.
[J Biol Chem. 2004]Proc Natl Acad Sci U S A. 2006 Jun 13; 103(24):8989-94.
[Proc Natl Acad Sci U S A. 2006]J Am Chem Soc. 2006 Dec 27; 128(51):16444-5.
[J Am Chem Soc. 2006]J Am Chem Soc. 2004 Sep 15; 126(36):11172-4.
[J Am Chem Soc. 2004]J Am Chem Soc. 2006 Dec 20; 128(50):15932-3.
[J Am Chem Soc. 2006]J Am Chem Soc. 2006 Dec 27; 128(51):16444-5.
[J Am Chem Soc. 2006]J Am Chem Soc. 2006 Dec 27; 128(51):16444-5.
[J Am Chem Soc. 2006]Curr Opin Struct Biol. 2001 Aug; 11(4):450-7.
[Curr Opin Struct Biol. 2001]J Am Chem Soc. 2001 Apr 4; 123(13):3151-2.
[J Am Chem Soc. 2001]J Am Chem Soc. 2001 Apr 4; 123(13):3151-2.
[J Am Chem Soc. 2001]Biochemistry. 1995 Jul 11; 34(27):8642-8.
[Biochemistry. 1995]Science. 1993 Nov 26; 262(5138):1401-7.
[Science. 1993]J Am Chem Soc. 2001 Nov 28; 123(47):11815-6.
[J Am Chem Soc. 2001]Biochemistry. 1994 Jun 28; 33(25):7760-7.
[Biochemistry. 1994]J Mol Biol. 2001 Apr 13; 307(5):1427-50.
[J Mol Biol. 2001]Protein Sci. 1998 Nov; 7(11):2287-300.
[Protein Sci. 1998]Proteins. 2000 Aug 15; 40(3):389-408.
[Proteins. 2000]Proteins. 1995 Jun; 22(2):119-31.
[Proteins. 1995]Adv Protein Chem. 2005; 70():79-112.
[Adv Protein Chem. 2005]Trends Biochem Sci. 1996 Oct; 21(10):375-82.
[Trends Biochem Sci. 1996]Biochemistry. 2006 Sep 26; 45(38):11324-32.
[Biochemistry. 2006]Proc Natl Acad Sci U S A. 2006 Jun 13; 103(24):8989-94.
[Proc Natl Acad Sci U S A. 2006]Nat Struct Biol. 2003 Jan; 10(1):45-52.
[Nat Struct Biol. 2003]J Mol Biol. 1977 May 25; 112(3):535-42.
[J Mol Biol. 1977]Proc Natl Acad Sci U S A. 2001 Dec 18; 98(26):14825-30.
[Proc Natl Acad Sci U S A. 2001]