• Aucun résultat trouvé

MONTE CARLO SIMULATION OF WATER INTERACTION WITH GRAMICIDIN A TRANSMEMBRANE CHANNEL : HYDROGEN BOND ANALYSIS

N/A
N/A
Protected

Academic year: 2021

Partager "MONTE CARLO SIMULATION OF WATER INTERACTION WITH GRAMICIDIN A TRANSMEMBRANE CHANNEL : HYDROGEN BOND ANALYSIS"

Copied!
6
0
0

Texte intégral

(1)

HAL Id: jpa-00224289

https://hal.archives-ouvertes.fr/jpa-00224289

Submitted on 1 Jan 1984

HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci- entific research documents, whether they are pub- lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers.

L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et à la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.

MONTE CARLO SIMULATION OF WATER INTERACTION WITH GRAMICIDIN A TRANSMEMBRANE CHANNEL : HYDROGEN

BOND ANALYSIS

S. Fornili, M. Migliore, D. Vercauteren, E. Clementi

To cite this version:

S. Fornili, M. Migliore, D. Vercauteren, E. Clementi. MONTE CARLO SIMULATION OF WATER INTERACTION WITH GRAMICIDIN A TRANSMEMBRANE CHANNEL : HYDRO- GEN BOND ANALYSIS. Journal de Physique Colloques, 1984, 45 (C7), pp.C7-219-C7-223.

�10.1051/jphyscol:1984724�. �jpa-00224289�

(2)

Colloque C7, supplement au n09, Tome 45, septembre 1984 page C7-219

MONTE CARL0 SIMULATION OF WATER INTERACTION WITH GRAMICIDIN A TRANSMEMBRANE CHANNEL : HYDROGEN BOND ANALYSIS

S.L. Fornili', M. Migliore*, D.P. Vercauteren

++

and E. Clementi IBM Corp., P.O. Box 390, Dept. 0 5 5 , BZdg. 701-2, Poughkeepsie, New York 12602, U.S.A.

*IAIF-CAR, Via Archirafi 36, 1-90123 Palerrno, Italy

~gsum;

-

La simulation, par la me/thode Monte Carlo, de la structure conforma- tionelle de mol6cules d'eau, dans et aux extr&mit&s dd'n canal transmem- branairedutype Gramicidin A, nous permet de montrer la persistance de liai- sons hydrogenes entre les mol6cules d'eau. Le mcme type d'analyse est ensuite applique/ au cas o: diffe'rents cations monovalents sont placgs dans une posi- tion fixde a l'inte'rieur du canal.

Abstract

-

The conformational structure of water molecules inside and close to the ends of the Gramicidin A transmembrane channel is examined by a sta- tistical method which determines the persistence, over the Monte Carlo gen- erated configurations, of hydrogen bonds among water molecules. The same kind of analysis is applied to results of simulation experiments in which mono- valent cations are placed in a fixed position inside the channel.

As it is well known, selective control of ion flow through membranes is essential to the behaviour of biological cells. Ion transport may take place by migration through a transmembrane molecular channel/l/, as it occurs, e.g., in the electrical excita- tion of neurons/2/. The pentadecapeptide antibiotic Gramicidin A (GA) forms transmem- brane channels with high single channel conductance, which are selective for mono- valent cations 131. Further, GA has a relatively simple chemical structure 141 and detailed molecular models for GA channel are available 15-71. For all these reasons, a large amount of work has been done on GA channel, which is now considered a proto- type transmembrane channel 18-101.

Water may play a remarkable role in ion transport through membranes, since a substan- tial reduction of Born energy barrier for an ion crossing-a membrane is caused even by a single file of 8-12 water molecules filling the transmembrane channel 111-131.

In a previous paper, results have been reported on Monte Carlo simulations of water interaction with GA channel, modeled according to Urry's atomic coordinates, by using atom-atom pair-potentials derived by ab initio calculations/l4/. In particular, we have determined the number and the conformational structure of the water molecules inside and at the extremes of the GA channel, and their interaction energy among themselves and r~ith the GA channel.

In the present paper we discuss further features of water molecules interacting with GA channel, that have been evidenced by a statistical method which analyzes the Monte Carlo generated water configurations in terms of permanence of hydrogen bonding.

The Metropolis Monte Carlo simulations 115,161 were carried out according to a previ- ously described procedure 1141, which is here summarized. Eighty one water molecules

+present add., Physics Dept. and IAIF-CNR, Via Archirafi 36, 1-90123 Pal~rmo, ++Italy.

Present add., Laboratoire de Chimie Thgorique Appliquge, Facultgs Universitaires, Notre Dame de la Paix, Rue de Bruxelles 61, B-5000 Namur, Belgium.

Article published online by EDP Sciences and available at http://dx.doi.org/10.1051/jphyscol:1984724

(3)

C7-220 JOURNAL DE PHYSIQUE

surroundiag the GA channel, were confined within a cylindrical volume 48 high and with 5.5 A base radius. The cylinder axis was taken parallel to the long axis of the channel ( Z axis). In some experiments a monovalent cation (Li+, ~ a + or

k)

was added

at a fixed position (at the center of the channel which coincides with the cylinder center). The sim ated temperature was 300 OK. For each experiment, we have con- sidered about 4x10 different Monte Carlo moves per water molecules, after the end of

9

the equilibration phase. We recall that each Monte Carlo configuration is obtained from a previous one by random selection of one water molecule and b a random dis- placement (the displacements are for distances not longer than 0.3

f

and for rota- tions not larger than about 18 degres).

For the water-water interaction, we have used the MCY potential reported elsewhere 1171. The GA-water'interaction energy has been expressed in terms of atom-atom pair- potentials

where i represents an atom in the GA channel belonging to "class" a and j refers to either H or 0 atom of water molecules, which belongs to the class designated by the index b. We recall that the atoms of a molecule can be grouped into classes/l8/. A class contains all the atoms of a given atomic number that are in similar molecular environments. The latter are defined by (1) same number of bonds, (2) same (gross) charge, as defined by Mulliken's population analysis 1191, and (3) same molecular or- bital valency state (MOVS) energy /20/. The assumed form for V(i,j;a,b) is

where r(i,j) is the distance between atoms i and j, and q(i) and q(j) are the net charges of the same atoms. The constants A(a,b), B(a,b) and C(a,b) are fitting param- eters previously reported 1141 for the 16 classes that were found necessary t describe the water interaction with the GA channel. For the water-Li+,-~a+ and -K

9

pair-potentials we have used the fitting constants reported in Ref. 14.

Two main algorithms have been implemented for statistical analyses of the Monte Carlo generated configurations of water molecules. The first one, which has been already used in the previous paper 1141, gives the probability distribution, P, of the oxygen and hydrogen atoms (heavier and lighter lines, respectively, in Figs. 1 and 2, top insets) of water molecules along the channel axis. In the second kind of analysis the hydrogen bonds among every water molecule and all the other water molecules belonging to the same Monte Carlo configuration are searched for. Two water molecules are sup- posed to be linked if at least one of the distances between the oxygen atom of either water molecule and the hydrogen atoms of the other is not greater than 2.1

8.

This

analysis can be carried out for a selectable number of Monte Carlo water configura- tions.

The resulting link matrix can be worked out and used for various purposes. One of them is shown in the middle insets of Figs. 1 and 2, where the information stored in the link matrix is combined with results obtained from a statistical analysis which determines the average positions, over the Monte Carlo configurations

,

of the oxygen atoms of water molecules. In these plots a segment represents a link between two wa- ter molecules, which is present not less than the indicated percentage of the Monte Carlo configurations. The end points of the segment represent the average positions of the oxygen atoms of the two hydrogen bonded water molecules.

Another possible use of the information contained in the link matrix is to select and visualize only "filaments" of links connecting two selectable water molecules. This application is useful, e.g., to analyze hydration features of solute molecular groups.

Further, this kind of analysis has been proven extremely useful as a diagnostic tool, e.g., to monitor the evolution of the equilibration phase or to catch abnormal behaviours of the system, which usually cause the appearance of anomalous link struc- tures.

(4)

Tektronix 4115B color monitor the spatial distribution of the statistical hydrogen bond network.

In Fig. 1 and in Fig. 2 we report results of Monte Carlo simulations of water molecules interacting with GA channel. In Fig. 1 ( A ) , results are shown for a computer experiment involving only water molecules. In Fig.l(B), and in+Fig.+2 resul s are re-

4

ported of simulations in which a fixed monovalent cation (Na

,

Li and K

,

respec- tively) is added at the center of the channel. In both Fig. 1 and Fig. 2, the top in- sets show the probability distribution of oxygen and hydrogen atoms of water molecules along the channel axis; the bottom insets show one of the Monte Carlo water configurations, where hydrogen bonds have been indicated, and the middle insets re- port results of the statistical hydrogen bond analysis, which has been carried out as outlined in the previous section. The latter plots show hydrogen bonds which are present in at least 25, 50 and 75 %, respectively, of the Monte Carlo generated water configurations.

Fig. 1. (A) Top: oxygen and hydrogen probability distributions (heavy and light lines, respectively) of water molecules along the GA-channel Z axis (in

2).

Middle:

plots of hydrogen bonds among water molecules along the Z axis, which are present in at least 25, 50 and 75%, respectively, of the Monte Carlo configurations. Bottom: a statistically significant Monte Carlo water configuration (with indication of hydro- gen bonding). (B) The same as in (A), for a Monte Carlo simulation in which a fixed Na ion is placed at Z=0.

The top inset of Fig. 1(A) shows a well defined peak pattern in the probability dis- tributions of the oxygen and hydrogen atoms of water molecules inside the channel (approximatly from Z=-12 to Z=12

2) ,

suggesting that, as previously pointed out /14/, a single file of about nine water molecules fills the channel. This result, which is in agreement with experimental findings /11/, is clearly evidenced by the hydrogen

(5)

C7-222 JOURNAL DE PHYSIQUE

bond permanence plots (Fig.1 middle insets). Further, the similarity among the water distribution of the bottom inset of Fig. 1 and the 25% and 50% link patterns suggests that the movements of water molecules inside and close to the extremes of the channel are rather hindered. This agrees with the energy profile for water-GA interaction re-

g

orted in the previous paper /14/, which shows deep energy minima in regions 12 to 14 distant from the center of the channel. Nevertheless, some rotational freedom of the water molecules inside the channel seems to be compatible at 300 OK even with a completely static channel conformation, as it has been assumed in the present simula- tion experiments. In fact, the position of the breakage point of link filaments in- side the channel, which corresponds to an inversion of the relative position of 0 and H probability distributions (Fig. 1, top inset), slightly fluctuates, if results of different Monte Carlo experiments are compared.

As a further feature of water conformational structure inside the channel, which has been evidenced by the 3-D-rotation version of the statistical link analysis mentioned in the previous section, the oxygen average positions of water molecules connecting a channel extreme to the link breakage point appear to lay approximately on a same plane. This plane seems to be different for the two halves of the channel and it seems determined by the water molecules clustered at the channel entrances, where the energy minima for water-GA channel interaction are located. We recall that according to the Urry's model / 5 / , the GA channel is formed by two head-to-head hydrogen bonded GA molecules.

Fig. 2. (A) and (B): same as in Fig. 1(B) for ~ i + and K+, respectively.

Results shown in Fig. 1(B) and in Fig. 2 confirm and extend findings previously re- ported /14/ on the effects due to the presence of monyvalent cations on the conforma- tional structure of water molecules inside the GA channel. As the probability distri- butions shown in the top insets suggest, the two main effects are i) a strong polari- zation of the water molecules closest to the ion, and ii) a strong electrostriction induced by the ion on the single file of water molecules inside the channel, which causes stretching of link filaments and appearance of gaps, as clearly shown by the results reported in the link pattern insets. These gaps occurr since, as previously mentioned, water molecules at the channel entrances feel strong energy interaction

(6)

configurations shown in the bottom insets.

We thank Prof. M.U. Palma and Prof. M.B. Palma-Vittorelli for useful discussions, Mr.

M. Lapis and Mr. A. La Gattuta for technical help, and Ms. M. Genova-Baiamonte and Ms. M. Giannola for typescript preparation. General indirect support from CRRNSM and MPI is also acknowledged.

(1) Singer, S.J., Ann. Rev. Biochem.

9

(1974) 805 (2) Catteral, W.A., Science

223

(1984) 653

(3) Hladky, S.B., Haydon, D.A., Nature (London)

225

(1970) 451 (4) Sarges, R., Witkop, B., J. Am. Chem. Soc. 8 7 (1965) 2011 (5) Urry, D.W., Proc. Nat. Acad. Sci. USA

68

(1971) 672.

Ramachandran, G.N., Chandrasekharan, R., Ind. J. Biochem. Biophys.

2

(1972) 1.

Veatch, W.R., Fossel, E.T., Blout, E.R., Biochemistry2 (1974) 5249.

Fossel, E.T., Veatch, W.R. Ovchinnikov, Yu.A., Blout, E.R., Biochemistry 13 (1974) 5264

(6) Ovchinnikov, Yu.A., Ivanov, V.T., in "Conformation in Biology", edited

-

by Srinivasan, AR., Sarma, R.H., Adenine Press, New York, 1983, pg.155 (7) Urry, D.W., Trapane, T.L., Prasad, K.U., Science

221

(1983) 1064

(8) Hladky, S.B., Urban, B.W., Haydon, D.A., in "Membrane Transport Processes", edited by Stevens, C.F., Tsien, R.W., Raven Press, New York 1979, pg. 89 (9) Hagglung, J., Enos, B., Eisenmann G., Brain Res. Bu1l.G (1979) 154 (10) Finkelstein, A., Andersen, O.S., J. Membr. Biol.

2

(1981) 155 (11) Rosenberg, P.A., Finkelstein, A., J. Gen. Physiol. 72 (1978) 341

(12) Levitt, D.G., Elias, S.R., Hautman, J. M., Biochim. Biophys. Acta

512

(1978) 436 (13) Urry, D.W., Spisni, A., Khaled, M.A., Long, M.M., Masotti, L., Int. J. Quant.

Chem.: Quant. Biol. Symp. & (1979) 289

Glaeser, R.M., Jap, B.K., Biophys. J. (1984) 95

(14) Fornili, S.L., Vercauteren, D.P., Clementi, E., J. Mol. Catal.

23

(1984) 234 (15) Metropolis, N., Rosenbluth, A.W., Rosenbluth, M.N., Teller, A.H.. Teller, E.,

J. Chem. Phys.

2

(1953) 1087

(16) Valleau, J.P., Whittington, S.G., in "Statistical Mechanics, Part. A:

Equilibrium Techniques", Plenum, New York, 1977, pg. 137.

Valleau J.P., Torrie, G.M., ibid. pg. 169.

(17) Matsuoka, O., Clementi, E., Yoshimine, M., J. Chem. Phys.

64

(1976) 1351

(18) Clementi, E., in Lecture Notes in Chemistry, Springer,Berlin,1980, v. 19, pg. 59 (19) Mulliken, R.S., J. Chem. Phys.

2

(1955) 1833

(20) Clementi, E., Routh, A., Int. J. Quant. Chem.d(l972) 525

Références

Documents relatifs

Indeed, a big part of Λ final states are reconstructed as Downstream tracks which consequence is the deterioration of momentum resolution and fitting vertex accuracy. But the

Two alternative approaches are used to calculate the cross sections. The first one [21] takes into account the five excitation levels of the water molecule described. It consists

Kalinichev (2001) Molecular simulations of liquid and supercritical water: Thermodynamics, structure, and hydrogen bonding. Stubbs (2016) Molecular simulations of

Proton computed tomography (pCT) is a promising tomographic imaging modal- ity allowing direct reconstruction of proton relative stopping power (RSP) re- quired for proton therapy

– MCMC yields Up component velocity uncertainties which are around [1.7,4.6] times larger than from CATS, and within the millimetre per year range

were studied using a same MCS technique at ratios of the electric field intensity to the gas n m r density E/N of from about 3 to 3000 Td. The isotropic scattering is assued

However, in both cases from a comparison between the differences in mean-square amplitudes of vibration along the bond of hydrogen (or deuterium) and fluorine as

Koç, David Naccache, and Christof Paar, editors, Cryptographic Hardware and Embedded Systems - CHES 2001, volume 2162 of Lecture Notes in Computer Science, pages 251–261..