Cerius²·Ludi



2       Theory

Ludi works in three steps.

1.   It calculates interaction sites within the protein's active site or from the active analogs.

2.   It searches libraries for fragments and fits them onto the interaction sites.

3.   It proposes an alignment or linking for the fragments.

To generate the interaction sites, Ludi uses a set of rules that are intended to cover the complete range of energetically favorable orientations for hydrogen bonds and hydrophobic contacts. These rules are based on a statistical analysis of nonbonded contacts found in the literature (Murray-Rust and Glusker 1984, Taylor and Kennard 1984, Vedani and Dunitz 1985, Görbitz 1989, Klebe 1991, Görbitz and Etter 1992, Baker and Hubbard 1984, Kroon et al. 1975) and are described below.

The fitting of fragments to the interaction sites and the alignment (i.e., linking) of fragments to a partially built ligand is modified by several user-defined parameters that are described below. After fitting and aligning, Ludi writes the coordinates of the suggested fragments in PDB or MDL MOL format, depending on the library format.


Interaction site generation

Interactions between a protein and ligand are usually formed through favorable nonbonded contacts such as hydrogen bonds or hydrophobic interactions. For each nonbonded contact, an atom or functional group of the protein interacts with an atom or functional group of the ligand. Ludi models protein-ligand interaction through the use of interaction sites. For each atom or functional group of the protein that is capable of participating in a nonbonded contact, a set of interaction sites is generated. This set of interaction sites encompasses the range of suitable positions for a ligand atom or functional group involved in the putative interaction. The density of interaction sites within the set is user-specified.

When the structure of the receptor is not known, Ludi generates an interaction site for each functional group in the set of active analogs (a set of ligands known to bind to the protein following a particular biophore).

Ludi distinguishes four types of interaction sites:

1.   H-donor

2.   H-acceptor

3.   lipophilic-aliphatic

4.   lipophilic-aromatic

The aromatic and aliphatic interaction sites are suitable sites for hydrophobic interactions. The H-donor and H-acceptor interaction sites are suitable sites for hydrogen bond formation.

Ludi models the H-donor and H-acceptor interaction sites with vectors (atom pairs) to account for the strong directionality of hydrogen bonds. H-donor sites are represented by D-X vectors RD-X = 1Å and H-acceptor sites are represented by A-Y vectors RA-Y = 1.23Å.1 The use of atom pairs for H-donor and H-acceptor interaction sites makes subsequent fragment fitting straightforward although some fragments will not use both positions (e.g., if a fragment containing an ether moiety is fitted onto an H-acceptor site, the ether oxygen is fitted onto the position A and the adjacent position Y is not used).

A statistical analysis of hydrogen bond geometries in crystal packings of small molecules (see references given above) reveals a rather broad distribution. As described earlier, Ludi takes this distribution into account by generating an ensemble of interaction sites distributed over the region of acceptable geometries. This approach has the advantage that it is purely geometrical and therefore avoids costly calculations of potential energy functions.


Fragment fitting

The next step is to fit fragments onto the interaction sites. Ludi searches the list of interaction sites by distance criteria for suitable sets of two to six sites to match the fragments. The distance criterion used for selecting suitable interaction sites is based upon the square of the distances between the interaction sites i and j, R2ij. If these values fall within a specified range, then a fit of the fragment is performed.

The default range is calculated from the optimum value R2opt, using the following expressions:

Eq. 1        

and

Eq. 2        

The typical value of (R)max is 0.2Å - 0.6Å.

For example, if three aromatic interaction sites i, j, and k are found with suitable values for R2ij, R2ik and R2jk, then three atoms of a lipophilic fragment (e.g., atoms 1, 3, and 5 of a phenyl group) are fitted onto these three points.

Required interactions are specified using targeted mode. In targeted mode fragments are required to interact with the protein atom or atoms specified by the user. Any fragment fit that does not interact with the entire set of specified target atoms is rejected.

To fit the fragment, Ludi performs a root mean square (RMS) superposition using the algorithm published by Kabsch (1978). A fragment fit is accepted if the RMS value is less than a user-defined threshold (typically 0.2Å to 0.6Å)2, and no van der Waals overlap of the fitted fragment with the protein occurs, and, if the Electrostatic Check parameter on the Ludi Runtime Parameters control panel is checked, no unacceptable electrostatic repulsions are found. When the receptor structure is not known, a fragment fit is rejected if the fragment extends outside the volume defined by the set of active analogs. When Ludi is run in link mode, no van der Waals overlap of the fitted fragments with the ligand is allowed except at the link site. If the fit of the fragment is accepted, then its coordinates are stored in PDB or MDL MOL format, depending on the library format.

Fragments are treated as rigid if the Bond Rotation parameter on the Ludi Design control panel is set to None. If Bond Rotation is set to One at a Time or Two at a Time, rotatable bonds within the fragment are rotated in singles or pairs to generate new conformations.

The degree of rotation depends on the periodicity of the dihedral angle. For example, for a rotatable bond between 2 sp3 carbons, the periodicity is 3 and the rotation is in 120° increments. For a rotatable bond between 2 sp2 carbons, the periodicity is 2 and the rotation is in 180° increments.


Link sites: aligning fragments with partially built ligands

Ludi is capable of fitting fragments onto the interaction sites and simultaneously aligning (i.e., linking) them to an existing ligand. For this purpose, link sites are defined on the ligand. A link site is a hydrogen atom that can be replaced by a suggested fragment. You can either specify these link sites, or allow Ludi to assume that all the hydrogen atoms of the positioned ligand (within a user-specified cutoff radius) are link sites.

Note that Ludi does not actually create the ligand-fragment bond(s). It simply positions the fragment in such a way as to take advantage of nearby interaction sites (i.e., sites for hydrogen bond formation and hydrophobic interaction) while simultaneously aligning the fragment to a ligand link site.

Ludi may suggest one, two, or three links to an existing ligand. For multiple links, Ludi aligns the fragment to multiple link sites on the existing ligand. If the partially built ligand is composed of multiple pieces, Ludi may suggest fragments to connect the pieces (i.e., bridges). Figure 1a shows a partially built ligand and a fragment aligned at one link site. The two examples in Figure 1b are two-link alignments; the second demonstrates the use of a bridge fragment. A three-link is given in Figure 1c. The result after using Cerius2 to merge and bond the fragments and ligands are also shown in the figure.

Figure 1 . One-, Two-, and Three-Link Examples in Ludi


Ludi fragment libraries

The Ludi fragment library is divided into two parts. The standard library is used when Ludi is run in de novo mode. The link library is used when Ludi is run in link mode. The standard library and the link library each consist of two files, a file that specifies the fragment topologies and a file that specifies the interaction types of fragment functional groups. For a detailed description of the format of these files, refer to the File Formats chapter.

If the Bond Rotation parameter on a Ludi Design control panel is set to None, fragments are treated as rigid bodies. If Bond Rotation is set to One at a Time or Two at a Time, bonds are rotated in singles or pairs to generate new fragment conformations.

Alternatively, internal flexibility can be accounted for by including several conformers for a fragment in the libraries. One example of flexible molecules is dipeptides, where conformers corresponding to the highly populated regions in the Ramachandran plot are stored in the library. Another example is hydroxy compounds (e.g., naphthol) where two rotamers of the hydroxy group are stored in the fragment library.

When the Invert Coordinates parameter on a Ludi Design control panel is checked, stereoisomers of the fragments in the library are also considered.

Typical examples of fragments included in the Ludi libraries are given in Table 1.

Table 1 . Typical Fragments in Ludi's Fragment Libraries

Böhm (1992b)

benzene   napthalene   cyclohexane  
adamantene   acetic acid   indole  
benzoic acid   nitrobenzene   anilene  
phenole   imidazole   pyrrole  
cyclohexanone   phenylamidine   n-propylguanidine  
piperidine   piperazine   morpholine  
N-acetyl-N ¢methyl-valineamide (10 conformers)   -naphthol (2 conformers)  
N-acetyl-N ¢methyl-D-phenylalanine (10 conformers)   -naphthol (2 conformers)  

Standard library

For each of the fragments in the standard library, between three and eight atoms are defined to be fitted onto the interaction sites. The standard library contains structures of 5 - 30 atoms. There are approximately 1000 entries in the standard library. The topologies of fragments in the standard library are stored in the MDL Mol format described in File Formats.

Link library

The link library is very similar to the standard library. The topologies of fragments in the link library are stored in the MDL Mol format described in File Formats. The primary difference between the standard library and the link library is that the link library contains definitions of link sites for the fragments. These are hydrogen atoms that can be removed to bond the fragment to the growing ligand.

The link library contains approximately 1100 entries (900 one-link entries, 150 two-link entries, and 50 three-link entries). The number of entries in the link library is larger than the number of entries in the standard library because multiple sets of link sites may be specified for a given fragment in the link library.

Ludi/ACD

Ludi/ACD3 is a Ludi library prepared from the MDL Available Chemical Directory (ACD, a database of 2D structures). It contains all structures in the ACD that are suitable for use with Ludi and that could be converted to 3D by Converter4. This library is suitable for use when running Ludi in standard (no-link) mode (Böhm, 1994b).

The selection criteria for the Ludi/ACD library are:

The resulting set of 71,930 ACD structures was converted to 3D by Converter. Converter generated 71,637 structures. 5

The structures from Converter were then checked for any necessary changes in protonation state and the Ludi target atom data was generated. The target atom data is stored in $BIOSYM/data/ludi/frag_lib/acd_subset.inp.

The topologies of fragments in the Ludi/ACD library are stored in the MDL Mol file format. The Ludi/ACD topology file, $BIOSYM/data/ludi/frag_lib/acd_subset.struct and $BIOSYM/data/ludi/frag_lib/acd_subset.inp, are unformatted to save disk space.


Rules governing the generation of interaction sites

Ludi uses rules to generate interaction sites. The position of an interaction site is described by the distance R, angle , and dihedral angle as defined in Figure 2.

Figure 2 . Geometric Parameters Used for Interaction Site Generation

The structures on the left are groups on the protein. The interaction sites are represented by the N-H groups on the right (Böhm, 1992b).  

The available experimental data on nonbonded contact geometries in crystal packings of small organic molecules are used to define the allowed values for R, , and . The region in space defined by the values is then populated by discrete interaction sites. The error introduced into the subsequent fitting of fragments by this description of the binding region is of the order of the distance between the interaction sites. However, since the accuracy of the atomic positions in a crystallographic protein structure is within about 0.2 Å - 0.5 Å, this simplification appears to be justified. The rules are summarized in Table 2 and described in more detail in the following sections.

Table 2 . Geometric Parameters Describing the Allowed Range of Nonbonded Contact Geometries Used in LUDI

Enzyme
functional
group
Interaction
site
Geometric
parameters
Reference(s)
C=O   D-X   RO..D = 1.9 Å
= 110 - 180°
= 0 - 360°  
 
Murray-Rust and Glusker 1984, Taylor and Kennard 1984, Klebe 1991    
N-H
O-H  
A-Y   RH..A = 1.9 Å
= 150 - 180°
= 0 - 360°  
 
Taylor and Kennard 1984, Görbitz 1989, Klebe 1991    
N-H
(charged)  
 
A-Y     RH..A = 1.8 Å
= 150 - 180°
= 0 - 360°  
 
Taylor and Kennard 1984, Görbitz 1989, Klebe 1991    
COO-   D-X   RO..D = 1.8 Å
= 100 - 140°
= -50 - 50°,
130 - 230°  
 
Görbitz and Etter 1992    
=N-     D-X   RN..D = 1.9 Å
= 150 - 180°
= 0 - 360°  
Vedani and Dunitz 1985, Klebe 1991  
R-O-R (sp2)     D-X     RO..D = 1.9 Å
= 100 - 140°
= -60 - 60°  
 
Vedani and Dunitz 1985, Klebe 1991    
R-O-R (sp3)     D-X     RO..D = 1.9 Å
= 90 - 130°
= -70 - 70°  
Taylor and Kennard 1984, Klebe 1991, Kroon et al. 1975  

H-donor and H-acceptor rules

The hydrogen bond geometry of carbonyl groups in the solid state has been investigated extensively (Murray-Rust and Glusker 1984, Taylor and Kennard 1984, Klebe 1991). The available data show a distribution in from 100° to 180° with a preference for the lone pair direction ( = 120°, = 180°). However, as this preference is not particularly pronounced, and the other regions are also significantly populated, an even distribution of interaction sites was chosen with:

RO..D = 1.9Å
= 110° - 180°
= 0 - 360°

The optimal O..D-X hydrogen bond is assumed to be linear (<O..D-X = 180°). This distribution is used for the backbone carbonyl groups and those in the side chains of the amino acids Asn and Gln.

The distribution of H-acceptor atoms around a N-H group is tighter than that around a carbonyl group. The statistical analyses that have been published (Taylor and Kennard 1984, Görbitz 1989, Klebe 1991) all show a strong preference for a linear hydrogen bond with <N-H..O/N = 150° - 180°. A very similar distribution was also found around N-H groups in aromatic rings (Vedani and Dunitz 1985, Klebe 1991). The available data indicate very similar distributions for N-H and O-H. Therefore, identical rules were chosen for both groups and interaction sites are generated with:

RH..A = 1.9Å
= 150° - 180°
= 0 - 360°

This distribution is used for the backbone N-H groups and the H-donor groups in the side chains of the amino acids His, Gln, Asn, Ser, Thr, and Tyr. For charged amino groups, a slightly shorter hydrogen bond length is RH..A = 1.8Å is used. This shorter hydrogen bond length for charged groups was also observed experimentally (Görbitz 1989).

A problem arises with the generation of the position of the second atom Y adjacent to the H-acceptor position A. The optimal position of this second atom is difficult to obtain from the available experimental data. The position of the site Y was generated assuming <N-H..A-Y = 0°, <H..A-Y = 120°, and RA-Y = 1.23Å, although the particular choice of the angle and the dihedral is admittedly somewhat arbitrary.

The hydrogen bond contact patterns around carboxylic acids have been studied by Görbitz and Etter (1992). The data indicate a preference for <C=O..H = 120° and <O-C-O..H = 0, 180°. They find no indication that syn hydrogen bonds are inherently more favorable than anti Their data has been translated into the following rules to generate the interaction sites around a carboxylic acid:

RO..D = 1.8Å
= 100° - 140°
= -50° - 50°, 130° - 230°

The distribution of H-donors around an unprotonated nitrogen in aromatic rings has been investigated by Vedani and Dunitz (1985). The distribution of hydrogen donors is narrower than that around a carbonyl group. The following rule (which applies to the unprotonated nitrogen in the side chain of His) is derived from the results of Vedani and Dunitz (1985):

RN..D = 1.9Å
= 150° - 180°
= 0 - 360°

Hydroxyl groups can act both as hydrogen donors and hydrogen acceptors. Although a detailed analysis of high resolution protein structures (Baker and Hubbard 1984) shows that hydroxyl groups act more often as donors than acceptors, the possibility to act as an acceptor has to be taken into account. For sp3 oxygen the data by Kroon et al. (1975) indicate a preference for the donor group to lie in the plane of the lone pairs (<C-O..H = 109 ±20°). However, no evidence is obtained for any preference of the lone pair direction within that plane. This contrasts with data obtained by Vedani and Dunitz (1985) and Klebe (1991), who report a preferred orientation of hydrogen donor groups in the direction of the lone pairs. Since the experimental data is used merely to establish the allowed values for hydrogen bond patterns, an allowance is made for hydrogen bonds not pointing into the direction of the lone pair:

RO..D = 1.9Å
= 90° - 130°
= -70° - 70°

For sp2 oxygens, as found in the side chain of Tyr, there is a clear preference for the hydrogen donor groups to lie in the plane of the aromatic ring. The data of Vedani and Dunitz (1985), Klebe (1991), and Baker and Hubbard (1984) are used to derive the following rule:

RO..D = 1.9Å
= 100° - 140°
= -50° - 50°

Hydrophobic contacts rules

Ludi distinguishes between aliphatic and aromatic interaction sites to allow for some flexibility in the subsequent fragment fitting. It has been argued by Burley and Petsko (1986), that interactions between aromatic systems play a significant role in the packing of a protein. As benzene has a large quadrupole moment, 2.9X10-10 C m2 (Battaglia et al. 1981), one might anticipate that quadrupole-quadrupole interactions contribute significantly to the binding of a ligand to its protein. It is clear, however, that aliphatic and aromatic side chains pack closely together to form the hydrophobic core of proteins. Thus, to account for hydrophobic pockets it may be advisable not to distinguish between aliphatic and aromatic interactions sites. Ludi allows you to proceed in both ways.

When considering aliphatic and aromatic interaction sites, the following rules apply. If the ligand atom is an aliphatic carbon, then aliphatic interaction sites Lali are generated with RC..L = 4Å. A user-defined number of interaction sites are positioned roughly equally spaced on a sphere around each aliphatic carbon atom.

If the ligand atom is an aromatic carbon, then aromatic binding sites Laro are generated with RC..L = 4Å using the same algorithm as for aliphatic carbons. Additional binding sites are generated with RC..L = 6Å above and below the plane of the aromatic rings. (This was found to be necessary to allow for perpendicular arrangements of aromatic rings.)

The aromatic interaction sites Laro in amide groups are positioned 4Å above and below the plane of the planar amide group. The aromatic interaction sites Laro of sulfur are generated with RS..L = 4.8Å using the same algorithm as for the rules for aliphatic and aromatic carbons. The rules for amide groups and sulfur are based on examinations of protein structures present in the Brookhaven Protein Data Bank (Bernstein et al. 1977). They may be rationalized by electrostatic interactions and/or interactions between electron systems (Reid et al. 1985, Stoddard et al. 1990).

Summary of rules

As most of the publications of the statistical analysis do not present a quantitative analysis of the data, there is a certain amount of ambiguity involved in the choice of the rules given above. A very narrow definition of the allowed hydrogen bond geometries would strongly reduce the number of hits obtained in the subsequent fragment fitting and would leave one with the danger of missing the most promising hits. On the other hand, a very broad definition would result in a very large number of hits with the difficulty of selecting the most interesting ones. This choice of rules represents a compromise.


Prioritization of the fitted fragments

An important problem for every method based on searching through large numbers of structures is the prioritization of the hits. Ludi approaches the problem as follows:

First, Ludi rejects any hit in which:

1.   The fragment overlaps with the receptor.

2.   In link mode, the fragment overlaps the ligand except at the link site atoms.

3.   You have specified that electrostatic repulsion be checked and the fragment does not pass the check6.

4.   You have specified that a check be made for unpaired polar groups and the fragment fit buries an unpaired polar group on either the fragment or the receptor.

5.   The fragment does not pass any of the filters you have set with the Library Filters options on the LUDI LIBRARY card.

Second, the hits are prioritized using an empirical scoring function. Whenever a fragment can be fit in multiple orientations only the highest scoring fit is retained.

Receptor mode scoring functions

For receptor mode runs (i.e., runs in which the receptor structure is known), Ludi offers three empirical scoring functions. The original receptor mode scoring function7 (Eq. 3) is a two-term scoring function in which the first term measures the number and quality of receptor-fragment hydrogen bonds, and the second term measures the receptor-fragment hydrophobic contact area. The second term is weighted such that 60Å2 of hydrophobic contact surface is equivalent to an unperturbed hydrogen bond8.

Eq. 3        

In Eq. 3 the summation is over fragment-receptor hydrogen bonds; R is the deviation of the H · · O/N hydrogen bond length from the ideal value (1.9Å); is the deviation of the hydrogen bond angle from its ideal value (180 °); and Alipo is the area (Å2) of hydrophobic contact between the receptor and fragment.

and are defined as follows:

Eq. 4        

      for

Eq. 5        

      for

Eq. 6        

      for

Eq. 7        

      for

Eq. 8

      for

Eq. 9

      for

The second scoring function9 (Eq. 10) gives a score that is correlated with the dissociation constant, Ki, for the ligand-receptor complex (Böhm, 1994a):

Eq. 10        

giving:

Table 3 . Correlation between Ludi score and dissociation constant, Ki, for Ligand-receptor complex.

Score Ki
100   100 mM  
200   10 mM  
300   1 mM  
600   1 µM  
900   1 nM  

The relationship between the dissociation constant and the free energy of binding, G, at equilibrium is expressed in Eq. 11:

Eq. 11        

in which R is the gas constant and T is the absolute temperature. By substituting Eq. 11 into Eq. 10 the score is shown to be proportional to the free energy of binding at 25°C:

Eq. 12        

The Ludi score is calculated from Eq. 12, with G expressed by an empirical function (Eq. 3-Eq. 13) (Böhm, 1994).

Eq. 13        

The values of the adjustable parameters, listed in Table 4, were obtained by fitting experimental binding constants of 45 protein-ligand complexes.

Table 4 . Values for adjustable parameters of Eq. 13

parameter value (kcal/mol)
G0   1.3  
Ghb   -1.1  
Gion   -2.0  
Glipo   -0.040  
Grot   0.33  

In Eq. 13 G0 represents the contribution to the binding energy that does not directly depend on any specific interactions with the receptor (e.g., the contribution to binding energy due to loss of translational and rotational entropy of the fragment). Ghb and Gion represent the contributions from an ideal hydrogen bond and an unperturbed ionic interaction, respectively. The Glipo term represents the contribution from lipophilic interactions. The lipophilic contribution is assumed to be proportional to the lipophilic contact surface, Alipo, between the receptor and the fragment. The Grot term represents the contribution due to the freezing of internal degrees of freedom in the fragment. NR is the number of acyclic sp3-sp3 and sp3-sp2 bonds. Rotations of terminal CH3 or NH3 groups and flexibility of cyclic portions of the fragment are not taken into account. and are given in Eqs. 4 through 9.

The third scoring function10 (Eq. 14) (Bohm, 1998) adds a term to Eq. 13 that takes aromatic-aromatic interactions into account:

Eq. 14        

In the new term, the angular dependence of aromatic-aromatic interactions is ignored and a simple distance cutoff is used:

Eq. 15        

for

Eq. 16        

for
The values of the adjustable parameters, listed in Table 5, for the third scoring function were obtained by fitting the experimental binding constants of 82 protein-ligand complexes.

Table 5 . Values for adjustable parmeter of Eq. 14

parameter value
kcal/mol
Go   -0.24  
Ghb   -0.76  
Gion   -1.45  
Glipo   -0.03  
Grot   -0.22  
Garo   -0.75  

Active analog mode scoring function

The scoring function in active analog mode (i.e., runs in which the receptor structure is not known) is given in Eq. 17.

Eq. 17        

Where HB is the number of hydrogen bonds the fragment can make; Alipo is the accessible hydrophobic area (Å2) of the fragment; and occ is the percentage occupancy of the hypothetical active site by the fragment.

Link scoring function

In link mode, a score is given for the link. The link score is not included in the overall score for the fragment but is reported separately. The link score is given by:

Eq. 18        

where l1 and l2 are the two ligand link atoms; f1 and f2 are the fragment link atoms being fitted onto the ligand link atoms; rx-y is the distance between the atoms x and y; and x-y-z is the angle formed by atoms x, y and z. These distances and angles are illustrated in Figure 3.

A score of 200 indicates a perfect link, scores above 100 indicate reasonable links and scores below 100 indicate poor links.

Figure 3 . Distance and Angle Definitions for Link Score


Score table fields

The fields of the Ludi score table are described in Table 6.

Table 6 . Ludi review table

Column title Description
Name   Cerius2 model name for the hit  
Molecule   Graphic representation of the hit  
Score   Total Score1  
Label   Library identifier for the fragment  
HB Score   Score from hydrogen bond term of scoring function  
# HB   Number of hydrogen bonds2  
Lipo Score   Score from lipophilic term of scoring function  
Link Score   Score from link term of scoring function  
Contact   Percentage of fragment in contact with receptor  
RMS_D   RMS deviation of target atom to interaction site coordinates  
1 Total score calculated with scoring functions developed earlier in this chapter.

2 For standard mode, number of hydrogen bonds formed with receptor. For active analog mode, number of possible hydrogen bonds.




1 These vector lengths were chosen to simplify the subsequent fitting of fragments containing N-H or O-H groups (which are fitted onto the donor interaction site D-X) or carbonyl groups C=O (which are fitted onto the acceptor interaction site A-Y):

2 If Ludi is trying to fit a large fragment, it may allow the RMS to exceed the value of the Maximum RMS parameter.

3 This library is not included with Ludi but is available under a separate license.

4 Converter is a 2D-3D conversion program for databases available from MSI.

5 These numbers refer to Ludi/ACD 97.0.

6 A fragment does not pass if a fragment polar atom is closer than a user-defined threshold distance (typically 3.5Å for O··O contacts) to a receptor atom of the same polarity. Note that only those receptor atoms that do not hydrogen bond with the fragment are taken into account.

7 The original scoring function is used when the Scoring Function parameter on the Ludi Recepter Based Design control panel is set to Hbond_Lipo.

8 The weighing reflects the relative contributions to binding energy of a hydrogen bond (1.5 kcal/mol, Fersht, et al., 1985) and hydrophobic contacts (25 kcal/mol Å2, Richards, 1977).

9 The second scoring function is used when the Scoring Function parameter on the Ludi Recepter Based Design control panel is set to Energy_Estimate_1 and is also the function used when you press the Score button on the Ludi Score control panel.

10 The third scoring function is used when the Scoring Function parameter on the Ludi Receptor Based Design control panel is set to Energy_Estimate_2.

Last updated July 31, 1998 at 07:01PM PDT.
Copyright © 1997, 1998 Molecular Simulations Inc. All rights reserved.