JPS62192851A - Superposing system for original drawing model of compound - Google Patents

Superposing system for original drawing model of compound

Info

Publication number
JPS62192851A
JPS62192851A JP61036347A JP3634786A JPS62192851A JP S62192851 A JPS62192851 A JP S62192851A JP 61036347 A JP61036347 A JP 61036347A JP 3634786 A JP3634786 A JP 3634786A JP S62192851 A JPS62192851 A JP S62192851A
Authority
JP
Japan
Prior art keywords
atom
volume
random numbers
compound
compounds
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
JP61036347A
Other languages
Japanese (ja)
Inventor
Kotaro Yuda
浩太郎 湯田
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujitsu Ltd
Original Assignee
Fujitsu Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Fujitsu Ltd filed Critical Fujitsu Ltd
Priority to JP61036347A priority Critical patent/JPS62192851A/en
Publication of JPS62192851A publication Critical patent/JPS62192851A/en
Pending legal-status Critical Current

Links

Landscapes

  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

PURPOSE:To display stereoscopically and direct-visually how plural pieces of atoms are combined, by deriving the volume of a part on which original drawing models of two compounds are superposed. CONSTITUTION:A point is generated in the volume of an atom A by using a random number generator 14. In this case, it is necessary to prepare three pieces of random numbers of the minimum value '0' and the maximum value '1'. That is to say, they are used for radial (r), angle theta, and angle phi. In this regard, a coordinate value for the radius (r) uses a value multiplying the value of an output of the random number generator 14 by the radius of the atom A, by using a value stored in a memory device 13 extracted from a data base 17, by a converting means 18. In general, when the atom A and an atom B are superposed, whenever one piece of point is generated in the volume of the atom A by using a random number table, whether its point is a part superposed with the atom B or not is checked by a deciding means 15.

Description

【発明の詳細な説明】 〔概要〕 二つの化合物の原図モデルを重ね合わせ、乱数表を使用
する体積算出法により重なり部分の体積を算出して重な
り部分を定量的に求める。
[Detailed Description of the Invention] [Summary] The original models of two compounds are superimposed, and the volume of the overlapped portion is calculated by a volume calculation method using a random number table to quantitatively determine the overlapped portion.

〔産業上の利用分野〕[Industrial application field]

本発明は二つの化合物の原図モデルの重なり部分の体積
を定量的に求める化合物の原図モデルの重ね合わせ方式
に関するものである。
The present invention relates to a method for superimposing original models of two compounds, which quantitatively determines the volume of the overlapping portion of the original models of two compounds.

〔従来の技術〕[Conventional technology]

化合物の原図モデルとは其の化合物を構成する複数個の
原子がどのように組み合わされて構成されているかを立
体的に且つ直視的に表示する図である。
The original model of a compound is a diagram that three-dimensionally and directly displays how the plurality of atoms constituting the compound are combined and configured.

分子設計の分野に於いて二種類の化合物の重なり具合を
調べることが極めて重要である。
In the field of molecular design, it is extremely important to investigate the degree of overlap between two types of compounds.

例えば成る薬効を示す化合物の原図モデルと良く重なる
原図モデルを有する化合物を探し出した場合、此の化合
物が同一の薬効を示す確率が高いことは良く知られてい
る。
For example, it is well known that if a compound is found whose original model closely overlaps with the original model of a compound that exhibits the same medicinal efficacy, there is a high probability that this compound will exhibit the same medicinal efficacy.

此のため成る化合物の原図モデルと良(重なる(良く一
致する)原図モデルを有する化合物を探し出すことは重
要であるが、従来は原図モデル自体の作成が大変である
為、スケルトン図(線画)又はボール・スティ・7り図
(球線画)等が使用されていた。
Therefore, it is important to find a compound that has an original model that overlaps (well matches) with the original model of the compound, but conventionally it is difficult to create the original model itself, so a skeleton diagram (line drawing) or Ball, stay, and seven-dimensional diagrams (ball line drawings) were used.

第3図は従来のスケルトン図に依る方法の一例を説明す
る図である。
FIG. 3 is a diagram illustrating an example of a conventional method using a skeleton diagram.

第3図に於いて実線は成る化合物のスケルトン図、点線
は別の化合物のスケルトン図である。
In FIG. 3, the solid line is a skeleton diagram of one compound, and the dotted line is a skeleton diagram of another compound.

此の場合ディスプレイ装置の画面上で三次元の二つのス
ケルトン図の重なり具合を調べるわけで普通二つのスケ
ルトン図の任意の一点又は線を重ね合わせてから両スケ
ルトン図の重なり具合を調べる。
In this case, the extent to which two three-dimensional skeleton diagrams overlap on the screen of a display device is checked.Usually, arbitrary points or lines on the two skeleton diagrams are overlapped, and then the extent to which both skeleton diagrams overlap is checked.

第4図は原図モデルによる重ね合わせ方法を示す図であ
る。
FIG. 4 is a diagram showing a superimposition method using an original model.

此の様にディスプレイ装置の画面上で二つのスケルトン
図を重ねる処理を行う為、各種のプログラムが開発され
ている。此れ等プログラムの内、例えばMDL社(mo
lecular design 11m1ted)が開
発したCOMPARは有名で、広く利用されている。
Various programs have been developed to perform the process of superimposing two skeleton diagrams on the screen of a display device. Among these programs, for example, MDL (mo
COMPAR developed by General Design (11mlted) is famous and widely used.

〔発明が解決しようとする問題点〕[Problem that the invention seeks to solve]

然しなから、上記従来方式ではスケルトン図を重合わせ
て此の結果を目視により判定する方法を採っているので
、不完全であり、誤差を起こし易いと云う欠点があった
However, the conventional method described above employs a method in which the skeleton diagrams are superimposed and the results are judged visually, which has the drawback of being incomplete and prone to errors.

又原図モデルによる場合は構造が複雑になると目視によ
り判定は大変困難であると云う欠点があった。
In addition, when using the original drawing model, there is a drawback that when the structure becomes complex, it is very difficult to visually judge the structure.

〔問題点を解決するための手段〕[Means for solving problems]

上記問題点は第1図に示す様に乱数発生器14、発生し
た乱数の組で座標点を位置ずける変換手段18、座標点
を判定する判定手段15、前記判定条件を満たす乱数の
組をカウントする計数手段16、所定個数の乱数発生を
指示すると共に発生した乱数の全組数に於ける計数手段
16がカウントした組数との比率を算出する手段12と
を備えた装置であって、複数の原子から構成される化合
物の構成属性で構築したデータベース17を具備し、二
つの化合物の原図モデルを重ね合わせ、乱数発生器14
からの乱数の組を所定の原子構成を持つ化合物から抽出
した各原子間の座標点に変換手段18により変換し、各
原子間の重畳部分を判定手段15により排除した原子毎
の座標点数を計数手段16によりカウントして、発生し
た乱数の総発生組数との比率を算出し、前記比率に所定
の単位系になる値を乗算し、前記座標点は立体面上の体
積位置であり、前記単位系は体積とする化合物の体積の
算出装置により前記二つの化合物の原図モデルの重ね合
わさった部分の体積を求めることにより解決される。
The above problem is solved, as shown in FIG. 1, by a random number generator 14, a conversion means 18 for positioning a coordinate point using a set of generated random numbers, a determining means 15 for determining a coordinate point, and a random number generator 14, a determining means 15 for determining a coordinate point, and a random number generator 14, a converting means 18 for positioning a coordinate point using a set of generated random numbers, and a determining means 15 for determining a coordinate point. A device comprising a counting means 16 for counting, a means 12 for instructing the generation of a predetermined number of random numbers and calculating the ratio of the number of sets counted by the counting means 16 to the total number of sets of generated random numbers, It is equipped with a database 17 constructed from the constituent attributes of compounds composed of a plurality of atoms, superimposes the original model of two compounds, and generates a random number generator 14.
A set of random numbers from is converted into a coordinate point between each atom extracted from a compound having a predetermined atomic configuration by a converting means 18, and the number of coordinate points for each atom is counted by eliminating the overlapping portion between each atom by a determining means 15. The means 16 counts and calculates the ratio of the generated random numbers to the total number of generated pairs, multiplies the ratio by a value that becomes a predetermined unit system, the coordinate point is a volume position on the three-dimensional surface, and the The unit system is determined by calculating the volume of the overlapping portion of the original models of the two compounds using a volume calculation device for the compound.

〔作用〕[Effect]

本発明では図形モデルで表された二つの化合物を重合わ
せ、重なり部分の体積を算出して重なり具合を調べるの
で正確な比較が出来ると云う大きい効果が生まれる。
In the present invention, two compounds represented by graphical models are superimposed, and the volume of the overlapping portion is calculated to check the extent of the overlap, which has the great effect of allowing accurate comparison.

〔実施例〕〔Example〕

本発明では化合物の構造を表示するのにスケルトン図(
線画)又はボール・スティック図(球線画)を使用せず
、原図モデルを使用する。
In the present invention, the skeleton diagram (
Instead of using line drawings) or ball/stick diagrams (ball line drawings), use the original model.

此の原図モデルとしては既に当社が特許申請中の1円に
よる化合物の構造表示方式」により作成された原図モデ
ルを使用するのが望ましいが、必ずしも此れにこだわる
ものではない。
As this original model, it is desirable to use an original model created by the 1 Yen Compound Structure Representation Method, which our company has already applied for a patent, but this is not necessarily the case.

二つの化合物の原図モデルを前記COM P A R等
を使用してディスプレイ装置の画面上で重ね合わせる。
The original models of the two compounds are superimposed on the screen of a display device using the above-mentioned COM P A R or the like.

本発明では従来方式の様に目視により重なり具合を調べ
る方法を採らず、次に述べる固化合物の重なり部分の体
積を求めて重なり具合の状況を判定する方法を採る。
In the present invention, unlike the conventional method, a method of visually inspecting the degree of overlapping is not used, but a method described below is adopted in which the volume of the overlapping portion of solid compounds is determined to determine the degree of overlapping.

第1図は本発明の一実施例を示す図である。FIG. 1 is a diagram showing an embodiment of the present invention.

第2図は原子内の一点が他の原子と重なっているか否か
を示す図である。
FIG. 2 is a diagram showing whether a point within an atom overlaps with another atom.

図中、12はプロセッサ、13は記憶装置、14は乱数
発生器、15は判定手段、16は計数手段、17は化合
物の構成及び其の属性等を格納したデータベース、18
は変換手段である。
In the figure, 12 is a processor, 13 is a storage device, 14 is a random number generator, 15 is a determining means, 16 is a counting means, 17 is a database storing the composition of compounds and their attributes, etc.;
is a conversion means.

尚記憶装置13には、データベース17に格納されてい
る一化合物α8の属性展開テーブルが格納される。
Note that the storage device 13 stores an attribute expansion table for one compound α8 stored in the database 17.

此の化合物α、は複数個の原子から構成され、化合物α
、の属性は第1図の記憶装置13に格納されている属性
展開テーブルで示される。
This compound α is composed of multiple atoms, and the compound α
, are shown in the attribute expansion table stored in the storage device 13 of FIG.

乱数発生器14を使用して原子への体積内に点を発生さ
せる。此の場合は乱数発生器14としては最少値O,最
大値1の乱数を三個用意する必要がある。即ち、半径r
用、角度θ用、及び角度φ用である。尚半径r用の座標
値は乱数発生器14の出力の値に変換手段1Bによりデ
ータへ−17から抽出した記憶装置13格納のテーブル
の値を使用して原子への半径を乗じた値を使用する。
A random number generator 14 is used to generate points within the volume to atoms. In this case, the random number generator 14 needs to prepare three random numbers with a minimum value of O and a maximum value of 1. That is, the radius r
, for angle θ, and for angle φ. The coordinate value for the radius r is the value obtained by multiplying the output value of the random number generator 14 by the radius of the atom using the value in the table stored in the storage device 13 extracted from the data-17 by the conversion means 1B. do.

点の総数N3も大きい程正確であり、原子への体積内に
発生される一つの点の体積は原子Aの体積■3のN3分
の1である。
The larger the total number of points N3 is, the more accurate it is, and the volume of one point generated within the volume of the atom is 1/N3 of the volume of the atom A, ■3.

尚Va=4πr、3/3 であり、r、は原子Aの半径
である。
Note that Va=4πr, 3/3, where r is the radius of the atom A.

一般に原子Aと原子Bが重なっている場合、乱−数を使
用して原子への体積内に1個の点を発生させる毎にその
点が原子Bと重なっている部分であるか否かを判定手段
15により調べ、若し原子Bと重なっていない場合には
其の点をカウントし、原子Bと重なっている場合にはカ
ウントしない。
Generally, when atoms A and B overlap, each time a point is generated within the volume of the atom using random numbers, it is determined whether or not that point overlaps with atom B. The determination means 15 checks the point, and if it does not overlap with atom B, that point is counted, and if it overlaps with atom B, it is not counted.

判定手段15は第2図に示す様に原子への内部に発生し
た点P、と原子Bの中心B0との距RQ a bを求め
、此の距離qabが原子Bの半径17bより小さい時は
重なっており、原子Bの半径r、より大きい時は重なっ
ていない。尚等しい時は接している。
The determining means 15 determines the distance RQ a b between the point P generated inside the atom and the center B0 of the atom B, as shown in FIG. 2, and when this distance qab is smaller than the radius 17b of the atom B, They overlap, and when the radius of atom B is larger than r, they do not overlap. Furthermore, when they are equal, they are touching.

此の様な手順をN1回繰り返し、終了した時点に於ける
カウント数をnlとする。
Such a procedure is repeated N1 times, and the count at the time of completion is set as nl.

原子への体積内の一つの点の体積はV、/N。The volume of one point within the volume to an atom is V,/N.

であるので、原子Bと重なっていない原子Aの体積Va
tは下式で表される。
Therefore, the volume Va of atom A that does not overlap with atom B
t is expressed by the following formula.

従って原子への体積の内、原子Bと重なっている部分の
体積V1は下式で表される。
Therefore, the volume V1 of the portion overlapping with the atom B in the volume of the atom is expressed by the following formula.

此の様な手順を繰り返すことにより、二つの化合物の重
なり部分の体積を定量的に算出することが可能となる。
By repeating such a procedure, it becomes possible to quantitatively calculate the volume of the overlapping portion of two compounds.

尚二つの化合物の重なりをディスプレイ画面上で目視す
る場合、一つの化合物の原図モデルを例えば黄色、他の
化合物の原図モデルを例えば赤色とすれば、二つの化合
物の重なり部分は色の違いにより明瞭に識別出来る。
In addition, when visually observing the overlap of two compounds on the display screen, if the original model of one compound is colored yellow, and the original model of the other compound is colored red, the overlapped part of the two compounds can be clearly seen due to the difference in color. can be identified.

〔発明の効果〕〔Effect of the invention〕

以上詳細に説明した様に本発明によれば、二つの原図モ
デルを重ね合わせて其の重ね合わされた部分の体積を定
量的に算出出来るので従来方式に比し、確度の高い処理
を行うことが出来ると云う大きい効果がある。
As explained in detail above, according to the present invention, two original models can be superimposed and the volume of the superimposed part can be quantitatively calculated, making it possible to perform processing with higher accuracy than conventional methods. There are great effects that can be achieved.

【図面の簡単な説明】[Brief explanation of drawings]

第1図は本発明の一実施例を示す図である。 第2図は原子内の一点が他の原子と重なっているか否か
を示す図である。 第3図は従来のスケルトン図に依る方法の一例を説明す
る図である。 第4図は図形モデルによる重ね合わせ方法を示す図であ
る。 図中、12はプロセッサ、13は記憶装置、14は乱数
発生器、15は判定手段、16は計数手段、17は化合
物の構成及び其の属性等を格納したデータベース、18
は変換手段である。 第2困 frs’5ffijl!1ffil”ヨ5 th# h
i5$28.K ’IJ凛 l/ M
FIG. 1 is a diagram showing an embodiment of the present invention. FIG. 2 is a diagram showing whether a point within an atom overlaps with another atom. FIG. 3 is a diagram illustrating an example of a conventional method using a skeleton diagram. FIG. 4 is a diagram showing a superposition method using a graphic model. In the figure, 12 is a processor, 13 is a storage device, 14 is a random number generator, 15 is a determining means, 16 is a counting means, 17 is a database storing the composition of compounds and their attributes, etc.;
is a conversion means. Second trouble frs'5ffijl! 1ffil”yo5 th# h
i5$28. K'IJ Rin l/M

Claims (1)

【特許請求の範囲】 乱数発生器(14)、発生した乱数の組で座標点を位置
ずける変換手段(18)、座標点を判定する判定手段(
15)、前記判定条件を満たす乱数の組をカウントする
計数手段(16)、所定個数の乱数発生を指示すると共
に発生した乱数の全組数に於ける前記計数手段(16)
がカウントした組数との比率を算出する手段(12)と
を備えた装置であって、複数の原子から構成される化合
物の構成属性で構築したデータベース(17)を具備し
、 二つの化合物の原図モデルを重ね合わせ、 乱数発生器(14)からの乱数の組を所定の原子構成を
持つ化合物から抽出した各原子間の座標点に前記変換手
段(18)により変換し、各原子間の重畳部分を前記判
定手段(15)により排除した原子毎の座標点数を前記
計数手段(16)によりカウントして、発生した乱数の
総発生組数との比率を算出し、前記比率に所定の単位系
になる値を乗算し、 前記座標点は立体面上の体積位置であり、前記単位系は
体積とする化合物の体積の算出装置により前記二つの化
合物の原図モデルの重ね合わさった部分の体積を求める
ことを特徴とする化合物の原図モデルの重ね合わせ方式
[Claims] Random number generator (14), conversion means (18) for positioning a coordinate point using a set of generated random numbers, determination means (18) for determining a coordinate point (
15), a counting means (16) for counting the sets of random numbers that satisfy the above-mentioned determination condition; and a counting means (16) for instructing the generation of a predetermined number of random numbers and counting the total number of sets of random numbers generated.
The device is equipped with a means (12) for calculating the ratio between the number of pairs counted by the number of pairs, and is equipped with a database (17) constructed from the constituent attributes of compounds composed of a plurality of atoms, The original model is superimposed, a set of random numbers from the random number generator (14) is converted by the conversion means (18) into coordinate points between each atom extracted from a compound having a predetermined atomic configuration, and the superposition between each atom is The counting means (16) counts the number of coordinate points for each atom whose part has been eliminated by the determining means (15), calculates the ratio of the generated random numbers to the total number of pairs of generated random numbers, and calculates the ratio with a predetermined unit system. The coordinate point is a volume position on a three-dimensional surface, and the unit system is volume. Calculate the volume of the overlapping portion of the original model of the two compounds using a compound volume calculation device. A method for superimposing original models of compounds, which is characterized by the following.
JP61036347A 1986-02-20 1986-02-20 Superposing system for original drawing model of compound Pending JPS62192851A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
JP61036347A JPS62192851A (en) 1986-02-20 1986-02-20 Superposing system for original drawing model of compound

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
JP61036347A JPS62192851A (en) 1986-02-20 1986-02-20 Superposing system for original drawing model of compound

Publications (1)

Publication Number Publication Date
JPS62192851A true JPS62192851A (en) 1987-08-24

Family

ID=12467302

Family Applications (1)

Application Number Title Priority Date Filing Date
JP61036347A Pending JPS62192851A (en) 1986-02-20 1986-02-20 Superposing system for original drawing model of compound

Country Status (1)

Country Link
JP (1) JPS62192851A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5111383A (en) * 1988-09-30 1992-05-05 Mazda Motor Corporation Apparatus for recovering sequentially controlled apparatus

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US5111383A (en) * 1988-09-30 1992-05-05 Mazda Motor Corporation Apparatus for recovering sequentially controlled apparatus

Similar Documents

Publication Publication Date Title
Tapp Matrix groups for undergraduates
Mollison Possible velocities for a simple epidemic
CN108052703A (en) Fast Collision Detection Algorithm based on hybrid hierarchy bounding box
CN107972070A (en) Test method, test system and the computer-readable recording medium of robot performance
JP2018524606A (en) Measuring method and evaluation method of gear accuracy
MacKay The effect of spatial stimuli on the estimation of cognitive maps
CN104574519B (en) Multi-source resident's terrain feature exempts from the automatic sane matching process of threshold value
CN106353033A (en) Computing method for aero-engine barycenter
JPS62192851A (en) Superposing system for original drawing model of compound
Schreck On the mechanization of straightedge and compass constructions
JP4337919B2 (en) Design support apparatus, method and program
Bohn et al. Parallel adaptive event horizon finder for numerical relativity
Iske et al. Tutorials on multiresolution in geometric modelling: summer school lecture notes
Pham et al. A Coq-based library for interactive and automated theorem proving in plane geometry
JPH1094519A (en) Fluid display device within tubular body
Yust Geometric Generalizations of the Tonnetz and their Relation to Fourier Phase Spaces
JPH0516742B2 (en)
Matthews Statics and Analytical Geometry
CN106846483B (en) Planar chip beam sort method and system based on shared straightway
Riddell Parameter disposition in pre-Newtonian planetary theories
Guy The triangle
Brugman 3D topological structure management within a DBMS, validating a topological volume
JPS62163141A (en) Calculating device for surface area and volume of compound
Baldwin et al. A short geometry
Ruiz et al. A geometric reasoning server with applications to geometric constraint satisfaction and configurable feature extraction