WO2005029385A1 - 分子シミュレーション方法及び装置 - Google Patents
分子シミュレーション方法及び装置 Download PDFInfo
- Publication number
- WO2005029385A1 WO2005029385A1 PCT/JP2004/013808 JP2004013808W WO2005029385A1 WO 2005029385 A1 WO2005029385 A1 WO 2005029385A1 JP 2004013808 W JP2004013808 W JP 2004013808W WO 2005029385 A1 WO2005029385 A1 WO 2005029385A1
- Authority
- WO
- WIPO (PCT)
- Prior art keywords
- space
- molecule
- total energy
- region
- molecular
- Prior art date
Links
Classifications
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C10/00—Computational theoretical chemistry, i.e. ICT specially adapted for theoretical aspects of quantum chemistry, molecular mechanics, molecular dynamics or the like
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16C—COMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
- G16C20/00—Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
- G16C20/50—Molecular design, e.g. of drugs
Definitions
- the present invention relates to a method and an apparatus for performing a molecular simulation by a quantum chemistry method, and particularly to one of the theoretical methods of quantum chemistry by fusing an ab initio molecular orbital method and a molecular force field method.
- the present invention relates to a method and apparatus for molecular simulation by the QMZMM (Quantum Mechanics / Molecular Mechanics) method, which is treated as a theoretical system.
- Such ligands function as inhibitors in the sense that they inhibit the activity of the protein. Therefore, screening to search for an actual candidate compound from a very large number of compounds to be candidate ligands is performed. In this case, the candidate is determined by computer simulation that does not actually cause a chemical reaction. If screening can be performed for dangid products, it will be possible to greatly reduce the time required for overall screening, to search for ligands for proteins that are difficult to synthesize in large quantities, and to target ligands for which there are no chemical synthesis examples. It offers significant advantages, such as the ability to Therefore, the ab initio molecular orbital method has come to be used to perform such molecular simulations using computers.
- the size of molecules that can be calculated is still limited to medium-sized molecules due to the enormous amount of calculation required for all-electron calculations.
- the ab initio molecular orbital calculation of a complex of a protein and a ligand is described above. As described above, it provides important information for searching for drug candidates, but the calculation of the electronic state of the entire complex requires a long time even with the latest supercomputers. Is not generally acceptable on the research and development time scale in.
- a characteristic of the QMZMM method is that it can reduce the calculation time compared to the conventional all-electron calculation. Estimating the calculation time for a protein with 500 amino acid residues, more than 95% of the total calculation time is spent on calculations in QM space. When the QM method is applied to the entire 500 amino acid residues, the calculation requires about 50,000 atomic orbitals. The calculation time increases or decreases in proportion to the cube of the number of atomic orbitals used. If the QMZMM method is applied and only the vicinity of the active site is treated as QM space, the number of atomic orbitals that must be calculated is about 5,000 orbitals, and the calculation time is reduced to 1Z1000. In particular, the calculation of the stable structure of the protein + substrate complex and the reaction mechanism of the enzyme would require repeating such calculations. It is not realistic to try to evolve.
- FIG. 1 is a diagram conceptually showing division of a QM space and an MM space in a protein-ligand complex. As shown in this figure, the vicinity of the active site where ligand 1 binds to protein 2 is defined as QM space 21, and the rest is defined as MM space 22.
- FIG. 2 is a diagram for explaining the division between the QM space and the MM space, and shows an example of peptide bonds in a protein.
- the N-terminal (left end in the figure) force is counted within the second amino acid residue, and the QM space and the MM space are divided at the position of the CN bond in the main chain, You.
- the space division characteristic of this QMZMM method is the space division characteristic of this QMZMM method.
- ONIOM our own n-layered integrated molecular orbital + molecular mechanics method
- Non-Patent Document 1 [1] J. Gao, Methods and Applications of Combined Quantum Mechanical and Molecular Mechanical Potentials in "Reviews in Computational Chemistry, Vol. 7, KB Lipkowitz and DB Boyd, Editors, VCH Publishers, Inc. New York, 1996
- Non-Patent Document 2 [2] MJ Field, PABash and M. Karplus, J. Comp.Chem., Vol. 11, 700 (1990)
- Non-Patent Document 3 [3] DM Philipp, RA Friesner, J. Comp. Chem., Vo; 20, 1468 (1999)
- Non-patent document 4 [4] T. Vreven, ⁇ . Morokuma, J. Comp. Chem., Vol. 21, 1419 (2000)
- Non-patent document 5 [5] Y. Yonezawa, T. Takada, T. Sakuma, N. Nakata Alone, Haruki Nakamura, Biophysics, Vol. 43, Supplement 1, B198 (Preprint of the 41st Annual Meeting of the Biophysical Society of Japan) (2003)
- Non-Patent Document 6 [6] Introduction to Theory of Electronic Structure: New Quantum Chemistry (1), pl55, Published by The University of Tokyo, 1987
- Non-Patent Document 8 [8] J. A. Pople, R. Krishnan, H.B.Schlegel and J. S. Binkley, Int. J. Quant. Chem., Vol. 13, 225 (1979)
- bonds is given by bond angle E, dihedral angle E, and non-covalent bond E.
- ⁇ ⁇ (0) represents the total MM energy in the equilibrium state. Therefore, if the whole system is described by empirical potential, no abnormal molecular skeleton will appear during the calculation.
- the QM space itself is strictly described by a quantum mechanical method, it is basically impossible for the molecular structure of the QM space to be abnormal. From this discussion, the QM space On the side, if the empirical potential can be impregnated into the surface layer that joins the MM space from the theoretically contradictory MM space, the problem of instability of the molecular structure can be overcome. At that time, it is also an indispensable condition that the unpaired electron generated in the terminal atom of the QM space can be logically hidden based on the energy expression.
- the present inventors arrange a localized molecular orbital at the boundary between the QM region and the MM region, and incorporate the local orbital into the calculation as a Frozen Orbital with respect to the QM region.
- a smooth and precise connection to the area can be achieved [5].
- an object of the present invention is to provide a logical matching method that can impregnate the empirical potential given by equation (1) into the surface layer of the QM space joining the MM space while hiding unpaired electrons.
- An object of the present invention is to provide a molecular simulation method and apparatus with good characteristics.
- a molecular simulation method divides a molecule or a part of a molecule to be simulated into a QM space and an MM space, and generates an ab initio molecular orbit with respect to the QM space.
- a molecular simulation method that applies a method based on an empirical potential to the MM space and applies a method based on the empirical potential, and retrieves the structural data of the molecule or a part of the molecule to be simulated from the storage unit And a step of substituting a part of the total energy expression in the ab initio molecular orbital method for the QM space with an empirical potential.
- a molecular simulation method divides a molecule or a part of a molecule to be simulated into a QM space and an MM space, and generates an ab initio molecular orbit with respect to the QM space.
- a molecular simulation method that applies a method based on an empirical potential to the MM space and applies a method based on the empirical potential, and retrieves the structural data of the molecule or a part of the molecule to be simulated from the storage unit
- a molecular simulation apparatus divides a molecule or a part of a molecule to be simulated into a QM space and an MM space, and uses an ab initio molecular orbital with respect to the QM space.
- a molecular simulation device that performs a molecular simulation by applying a method based on an empirical potential to the MM space by applying the method, and stores the structural data of the molecule or a part of the molecule to be simulated.
- the structure data is extracted from the simulation target molecule or a part of the molecule from the storage unit and divided into the QM space and the MM space.
- the QM space is further divided into the surface QM region, which is the region adjacent to the MM space.
- the total energy expression of the surface QM region by the ab initio molecular orbital method is calculated by dividing the region into the QM region, which is the region other than the surface QM region, and the QM region.
- the total energy expression by the ab initio molecular orbital method is obtained, a part of the total energy expression in the surface QM region is replaced by a term based on the empirical potential, and the total energy by the ab initio molecular orbital method in the QM space is calculated. And a first calculation unit to be obtained.
- a part connected to the MM space in the space to which the QM method is applied is defined as a surface QM region, and the surface QM region So that the potential is soaked.
- the protein structure is correctly maintained in the structure near the active site of the protein, that is, in the region where the QM space and the MM space are connected.
- the problem of inconsistency caused by the division into the QM space and the MM space can be avoided, and a highly accurate molecular simulation can be performed.
- FIG. 1 is a diagram conceptually showing QM-MM space division in a protein-ligand complex.
- FIG. 2 is a diagram illustrating an example of division into a QM space and an MM space.
- FIG. 3 is a block diagram showing a configuration of a molecular simulation device according to one embodiment of the present invention.
- FIG. 4 is an enlarged view of the molecular arrangement at the junction between the QM space and the MM space.
- FIG. 5 is a flowchart showing a procedure of a molecular simulation.
- the method according to the present invention when performing a molecular simulation by the QMZMM method, relates to a part of the total energy in the ab initio molecular orbital method for a part of the space to which the QM method is applied. Is replaced by the empirical potential to avoid the molecular structure instability of the QM-MM boundary region that occurs in the conventional QMZMM method.
- the molecules to be simulated are divided into a QM space to which the QM method is applied and an MM space to which the MM method is applied.
- the part close to the MM space is defined as the surface QM area.
- part of the total energy is replaced by empirical potential.
- the degree of replacement with the empirical potential can be adjusted by an external parameter.
- the wave function of a molecule or a part of a molecule constituting a part of the surface QM region is represented by a localized molecular orbital.
- empirical potential is brought into a part of the QM space.
- Equation (2) employs the usual notation in the field of molecular orbital methods, and therefore ⁇ .
- R is the distance between nuclei A and B
- Z and Z are the charges of nuclei A and B, respectively.
- the extension to the post-Hartree-Fock method requires the use of localized molecular orbitals.
- the first three terms in equation (2) relate only to nuclei and electrons belonging to the QM region
- the next three terms relate to the interaction between the QM region and the surface QM region
- the last three terms in equation (2) The third term is related only to nuclei and electrons belonging to the surface QM region. Therefore, we focus on the terms related to the surface QM region only, that is, the last three terms in equation (2), and use these parameters to divide them as shown in equation (3) using parameter a. However, 0 ⁇ a ⁇ 1.
- the parameter ⁇ is the force that mixes the QM and MM terms in the surface QM region, in other words, the surface QM region.
- the preferred value of the parameter a can vary depending on the molecular system and the purpose of the molecular simulation. For example, 0.2 Set to about.
- E (Total) E ⁇ QM + PQM) + E (MM) + E (QM + PQM: MM) (6)
- E (MM) is empirical to the MM space by a molecular dynamics method etc. This is the energy obtained by applying the potential.
- the expression that expresses the interaction between the QM space atom and the MM space atom differs depending on the physical and chemical properties of interest, but here the standard static electricity created by the MM space atom with respect to the QM space atom is used.
- E m in Eq. (7) corresponds to E MM (0) in Eq. (5), and represents the total MM energy in the equilibrium state for the m-th surface QM region.
- Em is expressed as in equation (8).
- Equation (8) is an equation based on empirical potentials including the Coulomb interaction and Van der Waals interaction. The first term indicates the contribution due to the bond distance r, and the second term indicates the contribution due to the bond angle ⁇ . The third term is the contribution of the dihedral angle ⁇ , the fourth is the van der Waals force between the surface QM regions, and the last is the one between the surface QM regions. This is the term of Coulomb force. As described above, except for the fact that terms due to Coulomb force and van der Waals force must be considered, even when there are multiple surface QM regions, the same treatment as when there is only one surface QM region is used. can do.
- terminal atoms of the surface QM region will be described.
- the problem of unpaired electrons will occur if it is cut off, so adopt the link atom method in which the existing atom on the other side of the covalent bond is regarded as a hydrogen-like atom. .
- FIG. 3 is a block diagram showing a configuration of a molecular simulation apparatus according to one embodiment of the present invention.
- This molecular simulation apparatus uses, as structural data of a molecule to be simulated, coordinate data of each atom constituting the molecule and the like.
- the molecular simulation device divides the structural data stored in the initial data storage unit 11 into the QM space and the MM space, and stores the initial data storage unit 11 for storing the structural data of the target molecule.
- An area division unit 12 that divides the surface into a QM area that is a connection part with the MM space and a QM area that is not, and an MM operation that performs a molecular simulation operation on the MM space based on the MM method such as the molecular dynamics method Unit 13, a QM operation unit 14 that executes a molecular simulation operation based on the ab initio molecular orbital method for the QM space, a parameter input unit 15 for inputting the above-mentioned parameter ⁇ (0 ⁇ 1), and an MM operation unit 13 And an output unit 16 that outputs the result of the operation performed by the QM operation unit 14 in total.
- the QM calculation unit 14 calculates the total energy E (QM + PQM) by the QM method as shown in the above equation (5). That is, the QM calculation unit 14 uses the localized molecular orbital for the surface QM region, and calculates the energy component by the QM method at a ratio specified by the parameter ⁇ . The calculation is performed by superimposing with the component based on the empirical potential. For the QM region, the QM calculation unit 14 performs calculations using canonical orbitals (expanded molecular orbitals), as in the ordinary QM method. Note that the MM operation unit 13 mainly performs the calculation of the empirical potential, and the QM operation unit 14 mainly performs the calculation of the two-electron integration. .
- the molecular simulation apparatus has a force suitable for configuring as a computer cluster. Even in such a case, the MM operation unit 13 and the QM operation unit 14 are each provided from a computer having a different hardware configuration. It is preferred to be composed.
- FIG. 4 shows an example of division into a QM space (QM area + surface QM area) and an MM space.
- the boundary between the QM region and the surface QM region is set, for example, at the CC bond position in the second amino acid residue from the left in the figure.
- the boundary between the surface QM region and the MM space is set to the CC bond of the fourth amino acid residue with the left force shown.
- the positions of these boundaries are appropriately determined depending on the molecule to be subjected to the molecular simulation and the purpose of the simulation. However, in order to improve the accuracy of the calculation, the position of the single bond ( ⁇ bond) is set. It is preferable to set boundaries.
- the initial data storage unit 11 reads the structure data (coordinate data) of the molecule to be simulated from the initial data storage unit 11, and divides the numerator into a Q ⁇ space and an MM space. Further, the QM space is divided into a QM region and a surface QM region, and molecules or a part of the molecules belonging to the surface QM region joined to the MM space are cut out as virtual molecules.
- the structural data on the MM space is sent to the MM operation unit 13, and in step 102, the MM operation unit 13 executes a molecular simulation on the MM space by a method based on an empirical potential such as a molecular dynamics method.
- the structure data of the QM space (the QM area and the surface QM area) is sent to the QM operation unit 14.
- coordinate data of atoms adjacent to the MM space in the surface QM region is required, and the coordinate data is also sent to the MM calculation unit 13.
- the coordinate data of the atoms adjacent to the surface QM region among the atoms in the MM space are also sent to the QM calculation unit 14.
- the QM operation unit 14 starts the QM operation, specifically, the Hartree-Fock calculation.
- the QM operation unit 14 starts the QM operation, specifically, the Hartree-Fock calculation.
- the molecule is divided into the QM region, the surface QM region, and the MM space, a covalent bond is broken in the molecule or part of the molecule, and as a result, the molecule or part of the molecule is broken. Unpaired electrons are generated at both ends or one end.
- the QM calculation unit 14 conceals such unpaired electrons by introducing a hydrogen-like atom by the above-described link atom method, and first, regarding the surface QM region,
- Step 103 a canonical orbital is obtained.
- Step 104 the canonical orbital is converted into a localized molecular orbital.
- Step 105 a hydrogen-like atom located on the opposite side of the MM space is obtained.
- the molecular orbitals are re-normalized, ignoring the molecular orbital coefficients.
- step 106 the QM calculation unit 14 appropriately selects a plurality of molecular orbitals localized near the MM space from among these localized molecular orbitals in the surface QM region, and performs Lowdin orthogonalization [6]. Then, a standardized localized molecular orbital basis is obtained.
- the orthogonalization is performed here because the orthogonality is guaranteed due to the introduction of hydrogen-like atoms (link atoms)! / From.
- the QM arithmetic unit 14 in step 107 The coefficient of the initial molecular orbital is calculated by the usual procedure in the orbital method.
- the QM calculation unit 14 uses the molecular orbitals obtained in step 106 and step 107 to create an antisymmetric wave function, and obtains the total energy E (QM + PQM) in the above equation (5).
- the parameters included in the equation (5) are required. These parameters are externally input to the parameter input unit 15 and are provided from the parameter input unit 15 to the QM calculation unit 14.
- step 109 the QM calculation unit 14 optimizes the coefficients of the molecular orbitals other than the localized molecular orbitals by the self-consistent (SCF) method based on the variational method, and obtains the total energy of the QM space.
- SCF self-consistent
- the output unit 16 determines in step 110 that the total energy of both spaces is The energies E (Total) of the whole molecule to be simulated are output by combining the lugies based on equation (6).
- the force acting on the nucleus required to determine the stable structure of the molecule and the trajectory of the dagger study reaction can be determined by differentiating the equation (6) with the coordinates of the nucleus.
- a partial differential term for the coefficient of the molecular orbital appears, but the partial differential term for the canonical orbital is replaced by the partial differential of the overlap integral by the energy gradient method [7].
- the calculation of the partial differential term for the coefficient of the localized molecular orbital can be strictly calculated by the required force CPHF (Coupled Perturbed Hartree-Fock) method [8].
- a new localized molecular orbital is obtained for the molecule or part of the molecule in the surface QM region.
- the orbit closest to the initially selected localized molecular orbital is automatically obtained.
- the molecular simulation apparatus described above is typically realized by a computer cluster.
- the computer cluster includes an initial data storage unit 11, a region division unit 12, a parameter input unit 15, and an output.
- a control computer functioning as the section 16, a computer or group of computers functioning as the MM operation section 13, and a computer or group of computers functioning as the QM operation section 14 are provided.
- Each of these computers functions as a computer for control, a computer for MM calculation, or a computer for QM calculation by reading a program for executing the function that the computer should perform.
- Such a program is loaded into a computer via a recording medium such as a magnetic tape (MT) or a CD-ROM, or via a network.
- MT magnetic tape
- CD-ROM compact disc-read only memory
- the above-described molecular simulation can be executed using a single computer.
- a computer program for executing the molecular simulation according to the above-described procedure may be read by a computer such as a supercomputer or a personal computer, and the program may be executed.
- Programs for performing molecular simulations are written on magnetic tape, CD-ROM, etc. The data is read into the computer by a recording medium or via a network.
- Proteins are important chemical substances involved in the entire chemical-related industry in terms of enzymes that realize various functions in living organisms. Therefore, the ability to simulate the interaction between a protein and a substrate based on the quantum mechanical technique with high reliability based on the present invention is important in the production of pharmaceuticals and functional foods, in the chemical industry, and even in the environment. It will provide effective research methods for a wide range of industries, such as the development of conservation materials.
Landscapes
- Engineering & Computer Science (AREA)
- Computing Systems (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- Health & Medical Sciences (AREA)
- General Health & Medical Sciences (AREA)
- Spectroscopy & Molecular Physics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Organic Low-Molecular-Weight Compounds And Preparation Thereof (AREA)
Abstract
Description
Claims
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US10/573,023 US20070043545A1 (en) | 2003-09-22 | 2004-09-22 | Molecular simulation method and device |
JP2005514101A JPWO2005029385A1 (ja) | 2003-09-22 | 2004-09-22 | 分子シミュレーション方法及び装置 |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
JP2003-329751 | 2003-09-22 | ||
JP2003329751 | 2003-09-22 |
Publications (1)
Publication Number | Publication Date |
---|---|
WO2005029385A1 true WO2005029385A1 (ja) | 2005-03-31 |
Family
ID=34372970
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
PCT/JP2004/013808 WO2005029385A1 (ja) | 2003-09-22 | 2004-09-22 | 分子シミュレーション方法及び装置 |
Country Status (3)
Country | Link |
---|---|
US (1) | US20070043545A1 (ja) |
JP (1) | JPWO2005029385A1 (ja) |
WO (1) | WO2005029385A1 (ja) |
Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009119631A1 (ja) * | 2008-03-26 | 2009-10-01 | 日本電気株式会社 | 分子シミュレーション装置、方法、及び、記録媒体 |
JP2022511717A (ja) * | 2020-03-06 | 2022-02-01 | シェンヂェン ジンタイ テクノロジー カンパニー リミテッド | 分子の立体配座空間解析のためのポテンシャルエネルギー曲面スキャン方法およびシステム |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009146093A1 (en) * | 2008-04-02 | 2009-12-03 | University Of Florida Research Foundation, Inc. | Method for ab initio based molecular alignment and docking solutions |
JP5099511B2 (ja) * | 2008-06-25 | 2012-12-19 | 国立大学法人山口大学 | 合成経路評価システムとその方法とそのプログラム |
JP5241468B2 (ja) * | 2008-12-19 | 2013-07-17 | 住友重機械工業株式会社 | シミュレーション方法及びプログラム |
US10468124B2 (en) | 2012-01-23 | 2019-11-05 | Toyota Motor Engineering & Manufacturing North America, Inc. | Process for designing and producing cooling fluids |
KR101472417B1 (ko) * | 2013-07-09 | 2014-12-12 | 주식회사 엘지화학 | 순차적 블록 구성을 통한 분자 오비탈 특성 해석 방법 및 이를 이용한 시스템 |
KR101586382B1 (ko) * | 2013-07-15 | 2016-01-18 | 주식회사 엘지화학 | 분자 오비탈 유사성 편차 평가 방법 및 이를 이용한 시스템 |
KR101586386B1 (ko) * | 2013-07-18 | 2016-01-18 | 주식회사 엘지화학 | 배타적 분자 오비탈 분포를 갖는 분자 오비탈 라이브러리 및 이를 이용한 분자 오비탈 분포 영역 평가 방법 및 이를 이용한 시스템 |
US11942192B2 (en) | 2020-07-13 | 2024-03-26 | International Business Machines Corporation | Density-functional theory determinations using a quantum computing system |
-
2004
- 2004-09-22 WO PCT/JP2004/013808 patent/WO2005029385A1/ja active Application Filing
- 2004-09-22 US US10/573,023 patent/US20070043545A1/en not_active Abandoned
- 2004-09-22 JP JP2005514101A patent/JPWO2005029385A1/ja active Pending
Non-Patent Citations (1)
Title |
---|
SAKUMA T. ET AL.: "Daikibo seitai bunshi keisan ni muketa QM/MM system no kaihatsu", JOHO KAGAKU TORONKAI.KOZO KASSEI SOKAN SYMPOSIUM KOEN YOSHISHU, 25 October 2002 (2002-10-25), pages 95 - 96, XP002986284 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2009119631A1 (ja) * | 2008-03-26 | 2009-10-01 | 日本電気株式会社 | 分子シミュレーション装置、方法、及び、記録媒体 |
JP2022511717A (ja) * | 2020-03-06 | 2022-02-01 | シェンヂェン ジンタイ テクノロジー カンパニー リミテッド | 分子の立体配座空間解析のためのポテンシャルエネルギー曲面スキャン方法およびシステム |
JP7116442B2 (ja) | 2020-03-06 | 2022-08-10 | シェンヂェン ジンタイ テクノロジー カンパニー リミテッド | 分子の立体配座空間解析のためのポテンシャルエネルギー曲面スキャン方法およびシステム |
Also Published As
Publication number | Publication date |
---|---|
US20070043545A1 (en) | 2007-02-22 |
JPWO2005029385A1 (ja) | 2006-11-30 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Zheng et al. | Protein conformational transitions explored by mixed elastic network models | |
Hayward et al. | Normal modes and essential dynamics | |
Van den Bulcke et al. | SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms | |
Pronk et al. | GROMACS 4.5: a high-throughput and highly parallel open source molecular simulation toolkit | |
Rzepiela et al. | Hybrid simulations: combining atomistic and coarse-grained force fields using virtual sites | |
Garcia et al. | SAPT codes for calculations of intermolecular interaction energies | |
Kurata et al. | CADLIVE dynamic simulator: direct link of biochemical networks to dynamic models | |
JP2005521929A (ja) | ヒト代謝モデルおよび方法 | |
Caricato et al. | Electronic excitation energies in solution at equation of motion CCSD level within a state specific polarizable continuum model approach | |
Fukuda et al. | Simple and accurate scheme to compute electrostatic interaction: Zero-dipole summation technique for molecular system and application to bulk water | |
WO2005029385A1 (ja) | 分子シミュレーション方法及び装置 | |
Yang et al. | A selective integrated tempering method | |
Guan et al. | LogP prediction performance with the SMD solvation model and the M06 density functional family for SAMPL6 blind prediction challenge molecules | |
Kubincová et al. | Reaction-field electrostatics in molecular dynamics simulations: Development of a conservative scheme compatible with an atomic cutoff | |
Rezaiee-Pajand et al. | Formulating an effective generalized four-sided element | |
Kaymak et al. | JAX-ReaxFF: a gradient-based framework for fast optimization of reactive force fields | |
Gu et al. | Explicit design of FPGA-based coprocessors for short-range force computations in molecular dynamics simulations | |
Qi et al. | Acceleration of linear finite-difference Poisson–Boltzmann methods on graphics processing units | |
Field | Technical advances in molecular simulation since the 1980s | |
Yuan et al. | Molecular device design based on chemical reaction networks: state feedback controller, static pre-filter, addition gate control system and full-dimensional state observer | |
Reznik et al. | The dynamics of hybrid metabolic-genetic oscillators | |
Hayward | A retrospective on the development of methods for the analysis of protein conformational ensembles | |
Hu et al. | Dual-topology/dual-coordinate free-energy simulation using QM/MM force field | |
Rusu et al. | Biomolecular pleiomorphism probed by spatial interpolation of coarse models | |
Toussi et al. | A better prediction of conformational changes of proteins using minimally connected network models |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
AK | Designated states |
Kind code of ref document: A1 Designated state(s): AE AG AL AM AT AU AZ BA BB BG BW BY BZ CA CH CN CO CR CU CZ DK DM DZ EC EE EG ES FI GB GD GE GM HR HU ID IL IN IS JP KE KG KP KZ LC LK LR LS LT LU LV MA MD MK MN MW MX MZ NA NI NO NZ PG PH PL PT RO RU SC SD SE SG SK SY TJ TM TN TR TT TZ UA UG US UZ VN YU ZA ZM |
|
AL | Designated countries for regional patents |
Kind code of ref document: A1 Designated state(s): GM KE LS MW MZ NA SD SZ TZ UG ZM ZW AM AZ BY KG MD RU TJ TM AT BE BG CH CY DE DK EE ES FI FR GB GR HU IE IT MC NL PL PT RO SE SI SK TR BF CF CG CI CM GA GN GQ GW ML MR SN TD TG |
|
121 | Ep: the epo has been informed by wipo that ep was designated in this application | ||
WWE | Wipo information: entry into national phase |
Ref document number: 2007043545 Country of ref document: US Ref document number: 2005514101 Country of ref document: JP Ref document number: 10573023 Country of ref document: US |
|
122 | Ep: pct application non-entry in european phase | ||
WWP | Wipo information: published in national office |
Ref document number: 10573023 Country of ref document: US |