INSTITUTE OF PHYSICS PUBLISHING NANOTECHNOLOGY Nanotechnology 17 (2006) 3160–3165 doi:10.1088/0957-4484/17/13/014 Electrical signatures of single-stranded DNA with single base mutations in a nanopore capacitor Maria E Gracheva1 , Aleksei Aksimentiev1,2 and Jean-Pierre Leburton1,3,4 1 Beckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA 2 Department of Physics, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA 3 Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA E-mail: [email protected] and [email protected] Received 16 March 2006, in final form 2 May 2006 Published 5 June 2006 Online at stacks.iop.org/Nano/17/3160 Abstract In this paper, we evaluate the magnitude of the electrical signals produced by DNA translocation through a 1 nm diameter nanopore in a capacitor membrane with a numerical multi-scale approach, and assess the possibility of resolving individual nucleotides as well as their types in the absence of conformational disorder. We show that the maximum recorded voltage caused by the DNA translocation is about 35 mV, while the maximum voltage signal due to the DNA backbone is about 30 mV, and the maximum voltage of a DNA base is about 8 mV. Signals from individual nucleotides can be identified in the recorded voltage traces, suggesting a 1 nm diameter pore in a capacitor can be used to accurately count the number of nucleotides in a DNA strand. Furthermore, we study the effect of a single base substitution on the voltage trace, and calculate the differences among the voltage traces due to a single base mutation for the sequences C3 AC7 , C3 CC7 , C3 GC7 and C3 TC7 . The calculated voltage differences are in the 5–10 mV range. The calculated maximum voltage caused by the translocation of individual bases varies from 2 to 9 mV, which is experimentally detectable. (Some figures in this article are in colour only in the electronic version) In the early 1990s, it was suggested that the chemical structure of nucleic acids can be resolved using natural nano-scale features of a membrane channel [1]. Indeed, when an electric field drives a DNA molecule through a biological channel suspended in a lipid bilayer, the molecule partially blocks the pore which is reflected by a transient reduction of the ionic current; the duration of the current blockade is proportional to the DNA length [1–7]. Statistical analysis of many current blockades allowed the researchers to discriminate between different sequences of RNA [3] and DNA [4] homopolymers, blocks of purine or pyrimidine nucleotides within single RNA [3] and DNA [8] strands, and, recently, the global orientation of the nucleic acids in the pore [9, 10]. The 4 Author to whom any correspondence should be addressed. 0957-4484/06/133160+06$30.00 ionic current blockades were found to be sensitive to a single nucleotide substitution in DNA and RNA hairpins [5, 11, 12], raising the prospect of creating a nanopore sensor capable of reading the nucleotide sequence directly from a DNA or RNA strand. A robust alternative to biological membrane channels are artificial nanometre-sized pores in solid state membranes manufactured by using highly focused electron or ion beams [13–17]. As in the case of proteinaceous nanopores, the correlation between DNA translocation and ionic current blockage was established [17, 19–23]. In addition to ionic current blockage, translocation of DNA molecules through nanopores in metal–oxide–semiconductor membrane is accompanied by a change in the electrostatic potential on © 2006 IOP Publishing Ltd Printed in the UK 3160 Electrical signatures of single-stranded DNA with single base mutations in a nanopore capacitor Figure 1. (A) DNA strand enveloped by a cylindrical surface, a phantom pore, initially wide enough to accommodate the strand entirely. (B) The conformation of a DNA strand in a 1 nm diameter pore. The DNA backbone is stretched, and the DNA bases are tilted towards the 5 end of the strand. (C) Contour plots of negative charge concentration in the capacitor membrane and electrolyte solution. (D) Same for the positive charge concentration. the semiconductor layers of the membrane. Hence, as DNA permeates the pore, its electronic signature can be recorded in the form of a voltage trace. Sequencing DNA strands with a nanopore device has not yet been achieved. Although it has been demonstrated that voltage signals resulting from DNA translocation through a capacitor membrane can be recorded [24, 25], the temporal resolution of such measurements precludes us from recording signals that could be associated with translocation of individual nucleotides. While new experimental methods for measuring fine signals with nanopore sensors are being developed [24, 27–30], the theoretical resolution of such measurements can be estimated through computation. Recently, we developed a multi-scale method for simulation of the electrical response produced by DNA translocation through a nanopore in a semiconductor capacitor membrane [25]. In this approach, the DNA translocation through the nanopore is simulated by molecular dynamics, while the voltage response in the solid-state capacitor is modelled by a 3D self-consistent Poisson Solver (PS). In this paper, we calculate the electrical signals produced by DNA translocation through a capacitor membrane with our multi-scale approach, and assess the possibility of resolving individual nucleotides as well as their types. Ultra small pores in capacitor membranes are manufactured by exposing the membranes to a focused, high-energy electron beam [16, 24]. By varying the focus, the energy and the exposure time to the beam, pores of different diameters can be manufactured. As the conformation of DNA in a pore depends on the pore diameter, the latter will also affect the strength of the recorded signals. When a single DNA strand is confined to a pore smaller than 1.5 nm in diameter, the bases of DNA tilt collectively towards the 5 end of the strand [9]. In a 1 nm diameter pore, the DNA bases, as well as their sequence specific dipole moments [26], orient along the pore axis; the fluctuations of the DNA conformation are greatly suppressed; both factors contribute to a strong sequence-dependent signal. It has been demonstrated experimentally that single DNA strands can permeate a 1 nm diameter pore [31], which we consider in this study. Since A, C, G, and T DNA nucleotides differ from each other by only a few atoms, it is essential to characterize the conformation of DNA inside the pore in atomic detail in order to relate the DNA sequence to the measured electrical signals. In this study, we rely on molecular dynamics (MD) [32] to obtain realistic snapshots of DNA conformations in the nanopore. The AMBER95 force field [33] accurately describes DNA dynamics in solution [34, 35], as well as the distribution of the electrostatic potential around DNA [36, 37], which can be regarded as the electrostatic fingerprint of the DNA sequence. The interaction of the DNA charge with the charge distribution in the semiconductor layers of the capacitor membrane is taken into account by a 3D self-consistent PS scheme, that also accounts for the screening of the DNA charge by counterions in the solution, and for the redistribution of electrons and holes in the semiconductor materials and the oxide [25]. As the structure of the silicon oxide surface in the pore is not known to atomic detail yet, we carried out our MD simulations using a phantom pore model [9, 31]. A DNA strand comprised of eleven nucleotides was placed in a rectangular volume of pre-equilibrated TIP3P water molecules; K+ and Cl− ions were added, corresponding to a 1 M concentration. The DNA strand was enveloped by a cylindrical surface, a so-called phantom pore, that was initially wide enough to accommodate the strand entirely (figure 1(A)). In a 1 ns MD simulation, the surface was gradually shrunk to a 1 nm diameter while 10 pN forces pushed DNA atoms lying outside of the surface towards the centre of the pore. At the end of the simulation, the DNA strand adopted a stretched conformation in which all DNA bases were tilted towards the 5 end of the strand (figure 1(B)). In order to estimate the energy costs associated with DNA confinement, we computed the conformational energy of the confined and unconfined DNA oligomers: 620 ± 26 3161 M E Gracheva et al (constrained) and 536 ± 17 (unconstrained) kcal/mol for C3 AC7 . We found that the conformational energy increases significantly when DNA oligomers are confined to a 1 nm diameter pore. However, the energy increase per nucleotide (ranging from 2.7 to 11.5 kcal mol−1 ) is still smaller than the gain in the electrostatic energy associated with translocation of one nucleotide (total charge—e) across the membrane at a 1 V bias (23 kcal mol−1 ). One should also take into account the fact that in a real pore, which has an hourglass shape, only a 3-nucleotide fragment of DNA is subject to the confinement, whereas the entire strand experiences the electrostatic force driving it through the pore. The above estimates are rather crude, as we did not take into account the interactions of DNA oligomers with their environment: water, ions and the nanopore. Such evaluations are complicated by the fact that the morphology and the physical state of the nanopore surface are not known. Recent experiments with synthetic [17, 31] and biological [1, 3, 4] nanopores have unequivocally demonstrated that single DNA strands can permeate pores that are only 1.0–1.3 nm in diameters. Therefore, we believe that the conformation of the DNA used in our studies is energetically feasible. Although it is possible to simulate the entire process of DNA translocation with our multi-scale method, in this study we eliminate, for the time being, the effects of the conformational anisotropy on the magnitude of the recorded signals, as well as the temporal variation of the signal due to DNA translocation, focusing entirely on the profile of the voltage signals as a function of the DNA location in a nanopore. For this purpose, we first determine a representative conformation of DNA in a nanopore, and then, using a simple translation, emulate DNA translocation through the pore, keeping the DNA conformation constant. In a real pore, only part of the DNA is confined to the fullest extent, while away from the pore constriction the DNA is not restrained. We have already carried out MD simulations of DNA translocation through a 1 nm diameter pore and observed the compression of DNA as it passed through the narrowest part of the pore followed by the rebound to the unrestrained conformation once DNA escapes the pores constriction [31]. However, in this study we limit ourselves to the analysis of a system in which we have control over the conformation of DNA in the pore, eliminating for now from our consideration the effect of conformational anisotropy, which might be adjustable in experiment. As we demonstrate below the electric signal from a DNA base spreads over its next neighbours only. Therefore, the effect of the DNA conformation outside the pore on the voltage trace recorded at the junction of silicon and silicon dioxide is negligible. The modelled capacitor membrane consists of a 2 nm thick SiO2 layer sandwiched between two heavily doped n+ –Si layers of 4.5 nm thickness each. The nanopore in the capacitor membrane has a double-conical shape with the diameter of the narrowest part being 1 nm (see details in [25]). Taking the distribution of the DNA’s charge from MD simulations, we solve self-consistently the Poisson equation, assuming the ions in the electrolyte obey the Boltzmann distribution, whereas electrons and holes in the semiconductor are ruled by the Fermi–Dirac statistics. This model was described elsewhere in detail [25]. The average ion concentrations that 3162 DNA front position, A DNA front position, A Figure 2. (a) Calculated voltage trace from C3 AC7 strand (circle-line) and the backbone signal of the same strand (solid line). (b) The difference between the whole DNA signal and the backbone signal. we obtain in the pore correlate with the data obtained by molecular dynamics simulations. Since we are interested in the average induced signal on the electrodes, we believe that our solution model accurately describes the solution dynamics. The concentration of the KCl electrolyte is 1 M, the doping density in silicon is Nd+ = 2 × 1020 cm−3 . We also include in our model a thin (2 Å) layer of negative charge at the surface of the semiconductor structure with the density of 1021 cm−3 , resulting from the etching process [18]. The calculated contour plots of negative and positive charge concentration in the capacitor membrane and electrolyte solution are shown in figures 1(C) and (D), respectfully, for one of the DNA positions in the pore. The cross-section was taken through the middle of Si–SiO2 –Si layers and the centre of the nanopore. It can be seen that the central SiO2 layer is void of charge carriers. There is a distribution of electrons in the Si layers with a depletion region near the surface due to the fixed surface charge (figure 1(C)). The accumulation of the positive charge is present around the DNA as it is negatively charged (figure 1(D)). While DNA is moved in the fixed conformation along the axis of the nanopore in 1 Å increments, the electrostatic potential induced by the DNA charge is recorded on the lower and upper Si electrode as a function of the DNA position in the nanopore (see [25] for full description). The DNA is at ‘zero’ position when the front tip of the molecule is at the nanopore centre. As the signals obtained from the upper and lower electrodes do not differ significantly, we focus on the voltage traces calculated on the upper Si electrode, similar to a different single electrode approach [27]. In figure 2(a), the recorded voltage trace for an eleven base DNA with the sequence 5 -CCCACCCCCCC-3 is shown in blue. To simplify the notation, we abbreviate this DNA sequence as C3 AC7 . The other studied DNA sequences are abbreviated in a similar way. The voltage trace of the DNA’s backbone which was obtained by removing the bases Electrical signatures of single-stranded DNA with single base mutations in a nanopore capacitor C3-A-C7 0 C3-C-C7 -10 C3-G-C7 C3-T-C7 -20 -40 -20 0 20 DNA front position, A 40 -30 60 -40 is shown in red on the same figure. The difference between these two signals is displayed in figure 2(b). From the two signals shown in figure 2(a) we conclude that the maximum recorded voltage caused by the DNA translocation is around 35 mV. This signal is appreciable and is due to the DNA confinement in the constriction where screening by the solution is reduced. In addition, due to the narrowness of the pore the DNA translocates in close proximity to the electrodes. The maximum voltage induced by the DNA’s backbone is about 30 mV, and therefore the maximum signal from a base is approximately 8 mV (figure 2(b)). We point out that these numbers are obtained in the absence of the conformational disorder. Also, measured from the non-zero voltage trace, the DNA’s length is ∼70 Å, which is in agreement with the actual stretched DNA length. There are several distinct fluctuations on the voltage trace, which, as we show later, correspond to the 11 segments of the backbone with a DNA base in every segment. In order to better understand the observed variations in the voltage trace we separate the C3 AC7 DNA into 11 fragments, each containing a sugar ring, a phosphate group and a base (with the exception of the first fragment which does not contain the phosphate group). Each fragment was driven through the pore separately and the corresponding voltage signal was calculated at the electrode. The composite plot of traces of the eleven fragments and the trace of the whole C3 AC7 sequence is shown in figure 3. We observe that 10 of the 11 fragments of the DNA produce similar traces in the form of a negative dip. The remaining one (trace #1 on figure 3) corresponds to the first fragment of the DNA with no phosphate group in it. The absence of the phosphate group, which is negatively charged, allows for a positive rise in this trace caused by the positive charge of the sugar ring and the base in this segment. We also observe that the traces of the DNA fragments overlap significantly, as the average width of each dip extends over 8– 12 Å. This means that in the whole DNA trace the signals from as many as three nearby fragments (and therefore bases) are mixed, which is to be expected as the Coulomb interaction is a long range interaction. In addition, trace #4, which contains the ‘A’ base does not have any obvious distinct features from other segments containing the ‘C’ bases, except maybe a slight widening of the signal compared to the nearest fragments, which may be due to the different distribution of charge on the base as well as to the different orientation of the base #4 on the backbone, or, most likely, both. -20 0 20 40 60 DNA front position, A Figure 4. Calculated voltage traces for four DNA strands C3 AC7 , C3 CC7 , C3 TC7 and C3 GC7 obtained by a single base mutation at the fourth nucleotide. Voltage, mV Figure 3. Voltage traces of the eleven single-nucleotide fragmets and the signal of the whole C3 AC7 DNA sequence. The contribution from individual nucleotides can be seen in the total trace, and, thus one can count the number of nucleotides in the strand. DNA front position, A Figure 5. Voltage traces due to translocation of single bases C, A, T and G. The inset illustrates the conformations of the replaced nucleotides; the orientation of their aromatic rings as well as the backbone structure are identical. To study the effect of single nucleotide substitution on the signal induced on the capacitor structure, we replace one base (#4) in the C3 AC7 strand by C, G, and T nucleotides respectively, using the psfgen building module of NAMD [38]. We keep the conformations of the three resulting strands identical to that of the original strand, with the exception of the replaced nucleotides. The resulting DNA strands have sequences C3 CC7 , C3 GC7 and C3 TC7 , correspondingly. The inset in figure 6 illustrates the conformations of the replaced nucleotides; the orientation of their aromatic rings as well as the backbone structure are identical. The calculated voltage traces for the four strands obtained by a single base mutation at the fourth place are illustrated in figure 4. It is clear that the signals differ in the vicinity of the fourth base over a position range between −15 and 5 Å. As expected, the traces are identical away from the fourth base as the DNA conformations there remained the same. In order to understand the differences in obtained DNA traces, we consider a purely academic case with translocation of single C, A, T and G bases without an attached backbone fragment (figure 5). The shape of the voltage traces for C, A and G is similar to the trace one would obtain for 3163 Voltage, mV Voltage, mV M E Gracheva et al C3TC7(-)C3CC7 C3TC7(-)C3AC7 DNA front position, A Voltage, mV Voltage, mV DNA front position, A C3TC7(-)C3GC7 C3AC7(-)C3CC7 DNA front position, A Voltage, mV Voltage, mV DNA front position, A C3AC7(-)C3GC7 DNA front position, A C3CC7(-)C3GC7 DNA front position, A Figure 6. (a) Signal differences between single bases T and A, as well as C3 TC7 and C3 AC7 ; (b) differences between single bases T and C, as well as C3 TC7 and C3 CC7 ; (c) differences between single bases A and C, as well as C3 AC7 and C3 CC7 ; (d) differences between single bases T and G, as well as C3 TC7 and C3 GC7 ; (e) differences between single bases A and G, as well as C3 AC7 and C3 GC7 ; (f) differences between single bases C and G, as well as C3 CC7 and C3 GC7 . the translocation of a dipole (positive and negative charges separated by a fixed distance) [25]. The signal for the T base is somewhat more complex and could be interpreted, for example, as the translocation of a sequence of three charges (negative–positive–negative). Note, that the orientation of the bases in the pore is similar and fixed, while, in principle, the recorded shape of the signals depends on the orientation and position of the base in the pore. The maximum induced voltage variation is obtained for the C base (9 mV), whereas the minimum variation is recorded for the T base (2 mV). Also, four curves form two groups: C and T traces have similar wider signals, whereas A and G traces have similar narrower signals. This correlates with the molecular structure of the bases: C and T have similar structure as pyrimidine bases, whereas A and G have similar structure as purine bases. We analyse the traces in figures 4 and 5 with respect to each other by subtracting them in corresponding pairs in order to obtain an estimate of the voltage difference between two traces with a single base mutation in the absence of conformational disorder. The results are shown in figures 6(a)–(f). Figure 6(a) shows two trace differences: the first difference is the difference between traces caused by the translocation of single bases T and A, the second is the difference between traces caused by the translocation of C3 TC7 and C3 AC7 . It can be seen that the differences have essentially the same shape, which suggests that the signal difference between C3 TC7 and 3164 C3 AC7 comes, mostly, from the base substitution. Some deviation of the curves is expected as the bases are screened by the backbone in one case and are not in the other. Also, the screening by the solution is different in both cases, especially away form the centre of the bases. These features are representative of all pairs of curves in figures 6(a)–(f). Hence, the difference in the recorded DNA traces with a single base mutation comes mostly from the base substitution. One cannot emphasize enough the importance of these results as they become accessible to experiment and could be the basis for discriminating between different DNA bases, leading to the identification of the whole DNA molecular sequence. In conclusion, we studied the electrical signals produced on a capacitor membrane containing a 1 nm nanopore by single stranded DNAs with a single base mutation. The calculated maximum voltage due to the different bases varies from 2 to 9 mV, which is experimentally detectable. Signals from individual nucleotides can be identified in the recorded voltage traces, suggesting a 1 nm diameter pore in a capacitor can be used to accurately count the number of nucleotides in a DNA strand. Our data show the possibility of distinguishing DNAs with different sequences in the ideal situation when the strands have the same conformation. However, the influence of stochastic DNA translocation on the induced signal is an important issue for realistic modelling of the nanopore—DNA system. The stochastic ‘wiggling’ of the DNA, although restricted by the nanopore, may reduce the resolution of single Electrical signatures of single-stranded DNA with single base mutations in a nanopore capacitor nucleotides or even make nucleotides indistinguishable. This issue is currently under investigation and will be the subject of a subsequent publication. Nevertheless, our results are an important milestone in DNA detection because techniques could be used to reduce or annihilate DNA stochastic movement in a nanopore. One such recently proposed technique involves wrapping DNA on a carbon nanotube [27], which is then lowered into a pore to detect bases. Another approach for reducing the effect of the DNA stochastic motion on the recorded voltage, is the method of ‘DNA flossing’ through a nanopore to sample segments of the molecule and collect the average reading [39]. Acknowledgments This work was funded by NIRT-NSF grant CCR0210843, Darpa grant 392FA9550-04-1-0214, NIH grants ROIHG003713 and P41-PR05969. The authors gratefully acknowledge the use of the supercomputer time at the National Center for Supercomputer Applications and the Pittsburgh Supercomputer Center provided through Large Resource Allocation Committee grant MCA05S028. We are grateful to Gregory Timp and Klaus Schulten for useful discussions. References [1] Kasianowicz J J, Brandin E, Branton D and Deamer D W 1996 Proc. Natl Acad. Sci. USA 93 13770–3 [2] Song L, Hobaugh M R, Shustak C, Cheley S, Bayley H and Gouaux J E 1996 Science 274 1859–66 [3] Akenson M, Branton D, Kasianowicz J J, Brandin E and Deamer D W 1999 Biophys. J. 77 3227–33 [4] Meller A, Nivon L, Brandin E, Golovchenko J and Branton D 2000 Proc. Natl Acad. Sci. USA 97 1079–84 [5] Vercoutere W, Winters-Hilt S, Olsen H, Deamer D, Haussler D and Akeson M 2001 Nat. Biotechnol. 19 248–52 [6] Meller A, Nivon L and Branton D 2001 Phys. Rev. Lett. 86 3435–8 [7] Meller A and Branton D 2002 Electrophoresis 23 2583–91 [8] Wang H, Dunning J E, Huang A P H, Nyamwanda J A and Branton D 2004 Proc. Natl Acad. Sci. USA 101 13472–7 [9] Mathé J, Aksimentiev A, Nelson D R, Schulten K and Meller A 2005 Proc. Natl Acad. Sci. USA 102 12377–82 [10] Butler T Z, Gundlach J H and Trall M A 2006 Biophys. J. 90 190–9 [11] Howorka S, Cheley S and Bayley H 2001 Nat. Biotechnol. 19 636–9 [12] Ashkenasy N, Sánchez-Quesada J, Bayley H and Ghadiri M R 2005 Angew. Chem. Int. Edn Engl. 44 1401–4 [13] Li J, Stein D, McMullan C, Branton D, Aziz M J and Golovchenko J A 2001 Nature 412 166–9 [14] Li J, Gershow M, Stein D, Brandin E and Golovchenko J A 2003 Nat. Mater. 2 611–5 [15] Storm A J, Chen J H, Ling X S, Zandbergen H W and Dekker C 2003 Nat. Mater. 2 537–40 [16] Heng J B et al 2003 IEDM Tech. Dig. 767–70 [17] Heng J B, Ho C, Kim T, Timp R, Aksimentiev A, Grinkova Y V, Sligar S, Schulten K and Timp G 2004 Biophys. J. 87 2905–11 [18] Ho C, Qiao R, Heng J B, Chatterjee A, Timp R J, Aluru N R and Timp G 2005 Proc. Natl Acad. Sci. USA 102 10445–50 [19] Aksimentiev A, Heng J B, Timp G and Schulten K 2004 Biophys. J. 87 2086–97 [20] Mara A, Siwy Z, Trautmann C, Wan J and Kamme F 2004 Nano Lett. 4 497–501 [21] Chang H, Kosari F, Andreadakis G, Alam M A, Vasmatzis G and Bashir R 2004 Nano Lett. 4 1551–6 [22] Storm A J, Chen J H, Zandbergen H W and Dekker C 2005 Phys. Rev. E 71 051903–13 [23] Fologea D, Gershow M, Ledden B, McNabb D S, Golovchenko J A and Li J 2005 Nano Lett. 5 1905–9 [24] Heng J B, Aksimentiev A, Ho C, Dimitrov V, Sorsch T, Miner J, Mansfield W, Schulten K and Timp G 2005 Bell Labs Tech. J. 10 5–22 [25] Gracheva M E, Xiong A, Aksimentiev A, Schulten K, Timp G and Leburton J-P 2006 Nanotechnology 17 622–33 [26] Saenger W (ed) 1984 Principles of Nucleic Acid Structure (New York: Springer) [27] King G M and Golovchenko J A 2005 Phys. Rev. Lett. 95 216103-d [28] Fan R, Karnik R, Yue M, Li D, Majumdar A and Yang P 2005 Nano Lett. 5 1633–7 [29] Fologea D, Uplinger J, Thomas B, McNabb D S and Li J 2005 Nano Lett. 5 1734–7 [30] Zwolak M and Ventra M D 2005 Nano Lett. 5 421–4 Lagerqvist J, Zwolak M and Di Ventra M 2006 Preprint arXiv:cond-mat/0601394 [31] Heng J B, Aksimentiev A, Ho C, Marks P, Grinkova Y V, Sligar S, Schulten K and Timp G 2006 Biophys. J. 90 1098–106 [32] Allen M P and Tildesley D J 1987 Computer Simulation of Liquids (New York: Oxford University Press) [33] Cornell W D, Cieplak P, Bayly C I, Gould I R, Merz K M Jr, Ferguson D M, Spellmeyer D C, Fox T, Caldwell J W and Kollman P A 1995 J. Am. Chem. Soc. 117 5179–97 [34] Feig M and Pettitt B M 1998 Structure 6 1351–4 [35] Beveridge D L et al 2004 Biophys. J. 87 3799–813 [36] Schmidt M W et al 1993 J. Comput. Chem. 14 1347–63 [37] Bayly C I, Cieplak P, Cornell W D and Kollman P A 1993 J. Phys. Chem. 97 10268–80 [38] Phillips J C, Braun R, Wang W, Gumbart J, Tajkhorshid E, Villa E, Chipot C, Skeel R D, Kale L and Schulten K 2005 J. Comput. Chem. 26 1781–802 [39] Kasianowicz J J 2004 Nat. Mater. 3 355–6 3165
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