- Research article
- Open Access
Combined molecular dynamics and continuum solvent studies of the pre-pore Cry4Aa trimer suggest its stability in solution and how it may form pore
© Taveecharoenkool et al 2010
- Received: 13 May 2009
- Accepted: 13 May 2010
- Published: 13 May 2010
Cry4Aa toxin is one of the highly specific mosquito-larvicidal proteins produced by the bacterium Bacillus thuringiensis subspecies israelensis. It is thought to form pores in the larval midgut membrane that cause membrane leakage and subsequent insect death. Therefore, Cry4Aa and other Cry toxins have been used as efficient and safe bacterial insecticides to control the disease-carrying mosquitoes such as Aedes, Anopheles, and Culex. However, we still do not clearly understand how Cry toxins kill mosquito-larvae at molecular details. Recent electron crystallographic images of Cry4Ba toxin, another toxin closely related to Cry4Aa toxin, have suggested that the protein forms trimer in aqueous solution and in lipid monolayer. Moreover, the unit cell of X-ray crystal structure of Cry4Ba toxin has been shown to be trimeric. In this study, we constructed the first full-atom structural model of Cry4Aa trimer using the trimeric unit cell structure of Cry4Ba toxin as a template and then used the methods of molecular dynamics (MD) and molecular mechanics combined with Poisson-Boltzmann and surface area (MM-PBSA) to show that the trimeric structure of Cry4Aa toxin is stable in 150 mM KCl solution on 10 ns timescale. The results reveal that Cry4Aa toxins use polar amino acid residues on α-helices 3, 4, and 6 to form trimer and suggest that the proteins form trimer to reduce their non-polar interactions with surrounding water. Based on the obtained trimeric structure of Cry4Aa toxins, we propose that pore formation of Cry toxins may involve a 90°-hairpin rotation during the insertion of their three α4-α5 hairpins into the membrane. This process may be mediated by water and ions.
PACS Codes: 87.15.ap, 87.15.bk, 87.14.ep
- Molecular Dynamic Simulation
- Binding Free Energy
- Root Mean Square Fluctuation
- Protein Data Bank Code
- Root Mean Square Deviation
Cry4Aa is a highly specific mosquito-larvicidal protein produced by the Gram-positive bacterium Bacillus thuringiensis subspecies israelensis (Bti). It is one of several toxins produced by the bacterium in the form of crystalline inclusions during its sporulation phase . These cytoplasmic inclusions consist of at least four types of mosquito-larvicidal proteins (Cry4Aa, Cry4Ba, Cry11Aa and Cyt1Aa) which can be classified into two families known as crystal (Cry) and cytolytic (Cyt) δ-endotoxins [2, 3]. In particular, the Bti Cry toxins have been used as efficient and safe bacterial insecticides to control the disease-carrying mosquitoes such as Aedes, Anopheles, and Culex . However, we still do not clearly understand how Cry toxins kill mosquito-larvae at molecular details.
Pore formation is thought to be one of the molecular mechanisms for larvicidal activity of the Bti Cry toxins . It can be considered as a series of important steps, including proteolytic activation, toxin oligomerization, and membrane insertion. The activation occurs when the toxin inclusions are solubilized by the highly alkaline solution in the midgut lumen. This releases soluble protoxins which are then digested by larval midgut proteases to form 65-kDa active toxins. During the oligomerizaion step, the monomeric active toxins have been suggested to bind together to form pre-pore trimers in solution  prior to binding to specific receptors located on the apical brush-border membrane of midgut epithelium. Subsequent conformational changes allow the insertion of their pore-forming portions into the cell membrane to form pores . These pores are permeable to ions and small solutes causing membrane leakage that leads to osmotic lysis of midgut cells and finally insect death.
Structural data from X-ray crystallography of six different Bt Cry toxins, Cry1Aa , Cry2Aa , Cry3Aa , Cry3Ba , Cry4Aa , and Cry4Ba , reveal high degree of overall structural similarity. These proteins contain three distinct domains. The N-terminal domain I is a bundle of seven α-helices in which the α5 is surrounded by other helices. This domain has been shown to be responsible for pre-pore oligomerization [12–14], membrane insertion and pore formation [15, 16]. Domain II is composed of three antiparallel β-sheets with highly varying amino acid sequence at the surface-exposed loops. This domain has been shown to participate and determine the specificity of the toxin for target insect larvae [17, 18]. The C-terminal domain III contains a sandwich of two antiparallel β-sheets. This domain has been implicated in insect specificity [19–21] or ion regulation .
Recent structural studies of Cry toxins have allowed us to construct a full-atom model of pre-pore Cry4Aa trimer. Several evidence has suggested that Cry toxins may form pre-pore in solution before inserting into the membrane [4, 12–14]. Electron crystallographic studies have also shown that the pre-pore structure of Cry4Ba toxin, another toxin closely related to Cry4Aa toxin, is trimeric in solution  and in lipid monolayer [4, 5]. Moreover, a unit-cell structure of Cry4Ba toxin solved by X-ray crystallography has been shown to have a three-fold symmetry  suggesting that the trimeric coordinate of Cry4Ba toxin could be used as a full-atom model of a Cry4Ba pre-pore trimer in MD studies. However, the X-ray structure displays a missing part comprising helices α1 and α2 of domain I . One possible alternative is to use the monomeric structure of Cry4Aa toxin which has been fully solved with all parts including α1 and α2 . In addition, structure and sequence alignments between Cry4Aa and Cry4Ba showed high similarity in sequences (55% similarity)  as well as structures (RMSD 2.5 Å). Therefore, we decided to build a full-atom model of pre-pore Cry4Aa trimer.
Is this pre-pore trimeric structure of Cry toxins stable in an aqueous solution on a molecular dynamics (MD) simulation timescale? To address this question, we set up atomic-scale MD simulations and used molecular mechanics combined with Poisson-Boltzmann and surface area calculations (MM-PBSA) to investigate the structural stability of the pre-pore Cry4Aa trimer in 150 mM KCl solution on 10 ns timescale by comparing it energetically with a 10-ns MD simulation of Cry4Aa monomer in the same solution. This allowed us to observe how amino acid residues at the inter-subunit interfaces of the pre-pore trimer adjusted during course of the simulations as well as to study their key interactions. A conceivable notion for membrane insertion and pore formation by this toxin was also proposed. The results of this work would be paving the way for further MD simulations and mutagenic studies to gain more insights into the toxicity mechanism of the Cry toxins, particularly at the toxin oligomerization and pore formation steps.
2.1 Preparation of pre-pore Cry4Aa trimer and Cry4Aa monomer in KCl solution
The crystal structure of the 65-kDa activated Cry4Aa toxin was used to construct a structural model of pre-pore Cry4Aa trimer with its atomic coordinates taken from the Protein Data Bank (PDB) with PDB code 2C9K. The structure consists of 598 amino acid residues, 252 water molecules and one methyl-2,4-pentanediol molecule which was then removed. The amino acid residues start from residues 68 to 679 with 14 missing residues between residues 235 and 244 (10 residues); and between residues 485 and 488 (4 residues). These missing residues correspond to two loops connecting α5 and α6; and β9 and β10, respectively. The two missing loops were modeled and incorporated into the structure using Loopy program [24, 25] with the first loop having Arg235 replaced by a glutamine to reproduce the mutant used in the X-ray crystallographic experiment .
Since there is no trimeric structure of Cry4Aa toxin available, a structural model of pre-pore Cry4Aa trimer was constructed by performing structure alignment using the incomplete trimeric structure of Cry4Ba from PDB code 1W99 as a template . The Cry4Aa trimeric structure was obtained by aligning α3, α4 and α5 of the Cry4Aa monomeric structure with that of the Cry4Ba trimeric structure using DaliLite v.3 program . Only α3, α4 and α5 were used for structure alignment because they are at the contact interfaces between Cry4Aa monomers.
A full-atom system of Cry4Aa trimer in a 150 mM KCl solution box was constructed using several molecular builder tools in VMD program . A protein structure file (PSF) of Cry4Aa trimer was generated using Auto PSF Builder Tool with CHARMM27 force field . All ionizable amino acid residues such as Arg, Lys, Asp and Glu were assigned to be in their charged states corresponding to an alkaline condition with pH 9.0. Then the Cry4Aa trimer was solvated in a water box with 12 to 15 Å buffering distance. Finally, 94 potassium (K+) and 88 chloride (Cl-) ions were placed randomly into the system to make 150 mM KCl solution. All K+ and Cl- ions were placed at distances more than 5 Å away from the proteins. The final system of the modeled Cry4Aa trimer has 223,439 atoms consisting of three 65-kDa Cry4Aa proteins (3 × 9,771 atoms), 64,648 water molecules, 94 K+ ions, and 88 Cl- ions, and has a dimension of 150 × 150 × 105 Å3.
Similarly, an all-atom system of Cry4Aa monomer in a 150 mM KCl solution box was also constructed for energy comparison with the trimer system. A Cry4Aa monomer was solvated in a water box of size 92 × 102 × 78 Å3. Then 32 potassium and 30 chloride ions were added randomly around the protein. The final system has 76,712 atoms (about one third of the trimer system) and consists of one Cry4Aa toxin (9,771 atoms), 22,293 water molecules, 32 K+ ions and 30 Cl- ions.
2.2 MD simulations of pre-pore Cry4Aa trimer and Cry4Aa monomer in KCl solution
MD simulations of the modeled Cry4Aa trimer in KCl solution were performed using NAMD 2.6 program , CHARMM27 force field , and TIP3P model for water  on 96 CPU-cores of a 2.3 GHz AMD Opteron computer cluster at 2 days per ns. The system was energy minimized and then equilibrated for 10 ns at temperature 298 K and pressure 1 atm with all heavy atoms of the proteins under harmonic restraints before equilibration using a force constant of 2 kcal/mol/Å2. The simulations were performed using periodic boundary conditions. Temperature and pressure were controlled using Langevin temperature control with damping constant of 5 ps-1 and Langevin piston control  with an oscillation period of 200 fs and a damping time of 100 fs. An integration time step of 1.0 fs was used to allow a multiple time-stepping algorithm [32, 33] to be employed such that long-range electrostatic interactions were computed every 4 time steps using the particle mesh Ewald method [34, 35] with a grid spacing of ~1 Å for the reciprocal sum. van der Waals interactions were calculated every step using a 13 Å cutoff and a switching function. MD simulations of the Cry4Aa monomer system were performed in the same way as that of the trimer using the same simulation conditions on 32 CPU-cores of a 2.3 GHz AMD Opteron computer cluster at about 2 days per ns. From the simulations, both Cry4Aa trimer and monomer systems reached equilibrium within the first 5 ns and were very stable during the 10-ns equilibration.
2.3 Binding free energy calculations of the pre-pore Cry4Aa trimer in continuum solvent
To show that the pre-pore Cry4Aa trimer in solution is more stable than three isolated Cry4Aa monomers in solution, the method of molecular mechanics combined with Poisson-Boltzmann and surface area (MM-PBSA) calculations [36, 37] was used to calculate the binding free energies of three Cry4Aa monomers in Cry4Aa trimer. Fifty snapshots of protein structures were taken at 100 ps interval from the last 5 ns of the two MD trajectories of Cry4Aa trimer and Cry4Aa monomer. For each snapshot, protein coordinate and structure files in AMBER file format were prepared for MM-PBSA calculations using AMBER force fields . Then MM-PBSA calculation was performed on each snapshot using AMBER 9  and then energies obtained were averaged over the fifty snapshots.
The first term corresponds to bond stretching, where k b is a bond force constant and b - b0 is a bond extension from equilibrium. The second term is due to bond bending, where k θ is an anglular force constant and θ - θ0 is an angular deviation from equilibrium. The third term is for twisting of dihedral angles around bonds where k φ is a dihedral force constant, n is the multiplicity of the function, φ is a dihedral angle and δ is a phase shift. The fourth term accounts for the van der Waals (vdW) potential calculated using 12-6 Lennard-Jones potential. The fifth term corresponds to electrostatic potential between all (i, j) pairs of atoms in the system, where ε is the dielectric constant of the medium.
The solvation free energy G sol was calculated as the sum of its polar and non- polar contributions ( and ). The polar part was computed by solving Poisson-Boltzmann equation of the proteins in a continuum solvent model that has a dielectric constant ε = 80. The non-polar part due to cavity formation and van der Waals interactions between the protein and the solvent was estimated as a solvent-accessible surface area dependent term , where A is the solvent-accessible surface area of the protein.
where and are the translational and rotational entropies of Cry4Aa monomer, m1 = 6.98 × 104 amu and I1 = 3.33 × 107 amu.Å2 are the mass and the moment of inertia of a Cry4Aa monomer and a = 28.5Å is the distance between the center of mass of a Cry4Aa monomer and that of a Cry4Aa trimer. Since all the normal mode frequencies of the Cry4Aa trimer could not be obtained and MM-PBSA calculations of other proteins complexes seem to suggest that the vibrational entropic energy change due to complex formation is of order a few kcal/mol [40, 41], so the vibrational entropy of the Cry4Aa trimer was approximated to be about three times that of Cry4Aa monomer.
3.1 Radius of gyration and RMSD of C α atoms versus time
3.2 Structural fluctuation of C α atoms by residue
3.3 Amino acid residues at the inter-subunit interfaces
Amino acid residues at the inter-subunit interfaces of the pre-pore Cry4Aa trimer
Percentage of time in contact
Helix α2 (res95-126) of monomer Mi
Helix α3 (res130-157) of monomer Mi
Helix α4 (res169-191) of monomer Mi+1
Helix α6 (res249-276) of monomer Mi+1
~100% or morea
more than 70% but less than 100%
3.4 Binding free energy of the pre-pore Cry4Aa trimer
Binding free energy of pre-pore Cry4Aa trimer in solution
3 × Monomer
1. G sol
-11,722.5a ± 17.6b
-11,319.6 ± 37.9
-402.9 ± 42.8
Solvation free energy
0.9 ± 0.0
446.6 ± 1.0
-445.7 ± 1.0
-11,723.5 ± 17.6
-11,766.2 ± 37.9
42.8 ± 41.8
2. H MM
-36,968.6 ± 22.1
-37,206.5 ± 46.5
237.9 ± 51.4
Molecular mechanical energy
2-1. H elec
-50,075.3 ± 20.2
-50,218.7 ± 43.7
143.4 ± 48.1
2-2. H vdW
-9,430.9 ± 5.8
-9,420.8 ± 13.7
-10.2 ± 14.9
van der Waals energy
2-3. H conf
22,537.6 ± 6.6
22,432.9 ± 7.5
104.7 ± 10.0
3. - TS tot
3-2. TS rot
3-3. TS vib
4. G tot
-48,691.1 ± 28.2e
-48,526.1 ± 60.0
-165.0 ± 66.3
Free energy (1+2)
Free energy (1+2+3)
On the other hand, the large positive binding free energy of 143 kcal/mol caused by electrostatic interactions within the proteins possibly arose from the net charge of -2 on each Cry4Aa monomer which may cause the increase in the free energy after trimer formation. Another 105 kcal/mol contribution of binding free energy probably resulted from the conformational stress within the proteins due to the inter-subunit interfaces of Cry4Aa trimer. Moreover, the binding free energy of 43 kcal/mol due to polar-solvation energy was likely contributed by the removal of water molecules from the inter-subunit interfaces as this decreased the electrostatic attractions between the proteins and water. However, further investigation using a combination of MD simulations of Cry4Aa mutants and MM-PSBA may be needed to identify key residues at the interfaces that mainly contribute to the negative binding free energy.
3.5 Proposal of a pore-forming mechanism for Cry toxins
In this work, we have constructed the first all-atom structural model of the pre-pore Cry4Aa trimer based on the results from electron and X-ray crystallographic studies of Cry4Aa and Cry4Ba toxins. By using MD simulations, we have found that Cry4Aa toxin uses polar amino acid residues on helices α3, α4, and α6 to form trimer. A combination of MD and MM-PBSA calculations has suggested that Cry4Aa trimer is stable in aqueous solution mainly due to its formation of the inter-subunit interfaces which reduces the non-polar interactions between the proteins and their surrounding water. The results can later be investigated further by mutagenic studies to confirm the simulation results and help us understand more on the toxin oligomerization process. Moreover, we have proposed a pore-forming mechanism by suggesting that three α4-α5 hairpins are inserted into the membrane with each hairpin rotated by 90° clockwise (viewed from the top) to form pore during the insertion step of Cry toxins. This process may involve water molecules and ions.
All figures of molecules were produced with the program VMD . This work was supported by Thailand Research Funds (TRF) Grant No. MRG5180355, Kasetsart University Research and Development Institute (KURDI) Grant No. Wor-Tor(Dor)27.51, and Science Research Fund (ScRF) Grant No. SCRF-E10/2551 from the faculty of science at Kasetsart University to C.K. The Medical Scholars Program (MSP) scholarship at Mahidol University to T.T. is gratefully acknowledged. C.A. was supported in part by TRF in cooperation with the Commission of Higher Education. We are grateful to Puey Ounjai for helpful discussions; to Witcha Treesuwan for help with MM-PBSA calculations; to Jiraroj T-Thienprasert for help with computational issues.
- Schnepf E, Crickmore N, Van Rie J, Lereclus D, Baum J, Feitelson J, Zeigler DR, Dean DH: Microbiol Mol Biol Rev. 1998, 62: 775-806.Google Scholar
- Crickmore N, Zeigler DR, Feitelson J, Schnepf E, Van Rie J, Lereclus D, Baum J, Dean DH: Microbiol Mol Biol Rev. 1998, 62: 807-813.Google Scholar
- De Maagd RA, Bravo A, Berry C, Crickmore N, Schnepf HE: Annu Rev Genet. 2003, 37: 409-433. 10.1146/annurev.genet.37.110801.143042.View ArticleGoogle Scholar
- Ounjai P: Molecular biophysical study of the Bacillus thuringiensis Cry4Ba toxin pore structure. PhD Thesis. 2007, Bangkok: Mahidol University, Institute of Molecular BiosciencesGoogle Scholar
- Ounjai P, Unger VM, Sigworth FJ, Angsuthanasombat C: Biochem Biophys Res Commun. 2007, 361: 890-895. 10.1016/j.bbrc.2007.07.086.View ArticleGoogle Scholar
- Grochulski P, Masson L, Borisova S, Pusztai-Carey M, Schwartz JL, Brousseau R, Cygler M: J Mol Biol. 1995, 254: 447-464. 10.1006/jmbi.1995.0630.View ArticleGoogle Scholar
- Morse RJ, Yamamoto T, Stroud RM: Structure. 2001, 9: 409-417. 10.1016/S0969-2126(01)00601-3.View ArticleGoogle Scholar
- Li JD, Carroll J, Ellar DJ: Nature. 1991, 353: 815-821. 10.1038/353815a0.View ArticleADSGoogle Scholar
- Galitsky N, Cody V, Wojtczak A, Ghosh D, Luft JR, Pangborn W, English L: Acta Crystallogr D Biol Crystallogr. 2001, 57: 1101-1109. 10.1107/S0907444901008186.View ArticleGoogle Scholar
- Boonserm P, Mo M, Angsuthanasombat C, Lescar J: J Bacteriol. 2006, 188: 3391-3401. 10.1128/JB.188.9.3391-3401.2006.View ArticleGoogle Scholar
- Boonserm P, Davis P, Ellar DJ, Li J: J Mol Biol. 2005, 348: 363-382. 10.1016/j.jmb.2005.02.013.View ArticleGoogle Scholar
- Jiménez-Juárez N, Muñoz-Garay C, Gómez I, Gill SS, Soberón M, Bravo A: Peptides. 2008, 29 (2): 318-323. 10.1016/j.peptides.2007.09.026.View ArticleGoogle Scholar
- Jiménez-Juárez N, Muñoz-Garay C, Gómez I, Saab-Rincon G, Damian-Almazo JY, Gill SS, Soberón M, Bravo A: J Biol Chem. 2007, 282 (29): 21222-21229. 10.1074/jbc.M701314200.View ArticleGoogle Scholar
- Pardo-López L, Gómez I, Muñoz-Garay C, Jiménez-Juarez N, Soberón M, Bravo A: J Invertebr Pathol. 2006, 92 (3): 172-177. 10.1016/j.jip.2006.02.008.View ArticleGoogle Scholar
- Gazit E, La Rocca P, Sansom MS, Shai Y: Proc Natl Acad Sci USA. 1998, 95: 12289-12294. 10.1073/pnas.95.21.12289.View ArticleADSGoogle Scholar
- von Tersch MA, Slatin SL, Kulesza CA, English LH: Appl Environ Microbiol. 1994, 60: 3711-3717.Google Scholar
- Ballester VV, Granero F, de Maagd RA, Bosch D, Mensua JL, Ferre J: Appl Environ Microbiol. 1999, 65: 1900-1903.Google Scholar
- Jurat-Fuentes JL, Adang MJ: Appl Environ Microbiol. 2001, 67: 323-329. 10.1128/AEM.67.1.323-329.2001.View ArticleGoogle Scholar
- Burton SL, Ellar DJ, Li J, Derbyshire DJ: J Mol Biol. 1999, 287: 1011-1022. 10.1006/jmbi.1999.2649.View ArticleGoogle Scholar
- De Maagd RA, Bakker PL, Masson L, Adang MJ, Sangadala S, Stiekema W, Bosch D: Mol Microbiol. 1999, 31: 463-471. 10.1046/j.1365-2958.1999.01188.x.View ArticleGoogle Scholar
- Lee MK, You TH, Gould FL, Dean DH: Appl Environ Microbiol. 1999, 65: 4513-4520.Google Scholar
- Masson L, Tabashnik BE, Mazza A, Prefontaine G, Potvin L, Brousseau R, Schwartz JL: Appl Environ Microbiol. 2002, 68: 194-200. 10.1128/AEM.68.1.194-200.2002.View ArticleGoogle Scholar
- Angsuthanasombat C, Uawithya P, Leetachewa S, Pornwiroon W, Ounjai P, Kerdcharoen T, Katzenmeier GR, Panyim S: J Biochem Mol Biol. 2004, 37: 304-313.View ArticleGoogle Scholar
- Xiang Z, Soto CS, Honig B: Proc Natl Acad Sci USA. 2002, 99: 7432-7437. 10.1073/pnas.102179699.View ArticleADSGoogle Scholar
- Soto CS, Fasnacht M, Zhu J, Forrest L, Honig B: Proteins. 2008, 70: 834-843. 10.1002/prot.21612.View ArticleGoogle Scholar
- Holm L, Kaariainen S, Rosenstrom P, Schenkel A: Bioinformatics. 2008, 24: 2780-2781. 10.1093/bioinformatics/btn507.View ArticleGoogle Scholar
- Humphrey W, Dalke A, Schulten K: J Mol Graph. 1996, 14: 27-28.View ArticleGoogle Scholar
- MacKerell AD, Bashford D, Bellott M, Dunbrack RL, Evanseck JD, Field MJ, Fischer S, Gao J, Guo H, Ha S, Joseph-McCarthy D, Kuchnir L, Kuczera K, Lau FTK, Mattos C, Michnick S, Ngo T, Nguyen DT, Prodhom B, Reiher WE, Roux B, Schlenkrich M, Smith JC, Stote R, Straub J, Watanabe M, Wiorkiewicz-Kuczera J, Yin D, Karplus M: J Phys Chem B. 1998, 102: 3586-3616. 10.1021/jp973084f.View ArticleGoogle Scholar
- Phillips JC, Braun R, Wang W, Gumbart J, Tajkhorshid E, Villa E, Chipot C, Skeel RD, Kalé L, Schulten K: J Comput Chem. 2005, 26: 1781-1802. 10.1002/jcc.20289.View ArticleGoogle Scholar
- Jorgensen WL, Chandrasekhar J, Madura JD, Impey RW, Klein ML: J Chem Phys. 1983, 79: 926-935. 10.1063/1.445869.View ArticleADSGoogle Scholar
- Feller SE, Zhang Y, Pastor RW, Brooks BR: J Chem Phys. 1995, 103: 4613-4621. 10.1063/1.470648.View ArticleADSGoogle Scholar
- Grubmüller H, Heller H, Windemuth A, Schulten K: Molecular Simulation. 1991, 6: 121-142. 10.1080/08927029108022142.View ArticleGoogle Scholar
- Schlick T, Skeel R, Brünger A, Kalé L, Board JA, Hermans J, Schulten K: J Comp Phys. 1999, 151: 9-48. 10.1006/jcph.1998.6182.View ArticleADSGoogle Scholar
- Darden T, York D, Pedersen L: J Chem Phys. 1993, 98: 10089-10092. 10.1063/1.464397.View ArticleADSGoogle Scholar
- Essmann U, Perera L, Berkowitz ML, Darden T, Lee H, Pedersen LG: J Chem Phys. 1995, 103: 8577-8593. 10.1063/1.470117.View ArticleADSGoogle Scholar
- Srinivasan J, Cheatham TE, Cieplak P, Kollman PA, Case DA: J Am Chem Soc. 1998, 120: 9401-9409. 10.1021/ja981844+.View ArticleGoogle Scholar
- Kollman PA, Massova I, Reyes C, Kuhn B, Huo S, Chong L, Lee M, Lee T, Duan Y, Wang W, Donini O, Cieplak P, Srinivasan J, Case DA, Cheatham TE: Acc Chem Res. 2000, 33: 889-897. 10.1021/ar000033j.View ArticleGoogle Scholar
- Ponder JW, Case DA: Adv Protein Chem. 2003, 66: 27-85. full_text.View ArticleGoogle Scholar
- Case DA, Darden TA, Cheatham TE, Simmerling CL, Wang J, Duke RE, Luo R, Merz KM, Pearlman DA, Crowley M, Walker RC, Zhang W, Wang B, Hayik S, Roitberg A, Seabra G, Wong KF, Paesani F, Wu X, Brozell SR, Tsui V, Gohlke H, Yang L, Tan C, Mongan J, Hornak V, Cui G, Beroza P, Mathews DH, Schafmeister C, Ross WS, Kollman PA: AMBER 9. 2006, University of California, San FranciscoGoogle Scholar
- Gohlke H, Kiel C, Case DA: J Mol Biol. 2003, 330: 891-913. 10.1016/S0022-2836(03)00610-7.View ArticleGoogle Scholar
- Gohlke H, Case DA: J Com Chem. 2003, 25 (2): 238-250. 10.1002/jcc.10379.View ArticleGoogle Scholar
- Tapaneeyakorn S, Pornwiroon W, Katzenmeier G, Angsuthanasombat C: Biochem Biophys Res Commun. 2005, 330: 519-525. 10.1016/j.bbrc.2005.03.006.View ArticleGoogle Scholar
- Larsen TA, Olson AJ, Goodsell DS: Structure. 1998, 6: 421-427. 10.1016/S0969-2126(98)00044-6.View ArticleGoogle Scholar
- Peyronnet O, Nieman B, Généreux F, Vachon V, Laprade R, Schwartz JL: Biochim Biophys Acta. 2002, 1567 (1-2): 113-122.View ArticleGoogle Scholar
- Gerber D, Shai Y: J Biol Chem. 2000, 275: 23602-23607. 10.1074/jbc.M002596200.View ArticleGoogle Scholar
- Leetachewa S, Katzenmeier G, Angsuthanasombat C: J Biochem Mol Biol. 2006, 39 (3): 270-277.View ArticleGoogle Scholar
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.