@@ -417,7 +417,7 @@ The simplest way to run fpocket is either by providing a single pdb file, or by
#### Optional:
-m float: (default 3.4Å) This flag enables the user to modify the minimum radius an alpha sphere might have in a binding pocket. An alpha sphere is a contact sphere, that touches 4 atoms in 3D space without having any internal atoms. Here 3Å allow filtering of too small (protein internal) alpha spheres. I you want to analyze internal interstices, lower this parameter. In the contrary, if you want to analyze more solvent exposed cavities, you can raise this parameter in order to filter out too buried cavities.
-m float: (default 3.4Å) This flag enables the user to modify the minimum radius an alpha sphere might have in a binding pocket. An alpha sphere is a contact sphere, that touches 4 atoms in 3D space without having any internal atoms. Here 3Å allow filtering of too small (protein internal) alpha spheres. If you want to analyze internal interstices, lower this parameter. In the contrary, if you want to analyze more solvent exposed cavities, you can raise this parameter in order to filter out too buried cavities.
-M float: (default 6.2Å) Here you can modify the maximum radius of alpha spheres in a pocket. An alpha sphere is a contact sphere, that touches 4 atoms in 3D space without having any internal atoms. Here 7Å allow to filter out too large contact spheres, that are lying on the protein surface. If you want to analyze very flat and solvent exposed surface depressions, raise this parameter. For analysis of buried parts of the protein you can lower this parameter. Higher radii might be more interesting for identification of protein protein binding sites or polysaccharide binding sites. Smaller radii enable detection of buried cavities for small organic molecules (drugs, for instance).
@@ -449,13 +449,13 @@ The simplest way to run fpocket is either by providing a single pdb file, or by
-v int: (default 2500) By default, pockets volume are calculated using a monte-carlo algorithm. Basically, the algorithm picks a random point in the space and check if it is included in any alpha sphere, and stores this status. This is repeated N times, and we estimate the volume of the pocket using ratio between the number of hit and the number of iteration, scaled by the size of the box. This parameter defines the number of iteration to perform. Of course, the higher the value is, the greater the accuracy will be, but the performance will be slowed down.
-b (none): (NOT USED BY DEFAULT) This option allows the user to chose a discrete algorithm to calculate the volume of each pocket instead of the Monte Carlo method. This algorithm puts each pocket into a grid of dimention (1/N*X ; 1/N*Y ; 1/N*Z), N being the value given using this option, and X, Y and Z being the box dimensions, determined using coordinates of vertices. Then, a triple iteration on each dimensions is used to estimate the volume, checking if each points given by the iteration is in one of the pocket’s vertices. This parameter defines the grid discretization. If this parameter is used, this algorithm will be used instead of the Monte Carlo algorithm.
-b (none): (NOT USED BY DEFAULT) This option allows the user to choose a discrete algorithm to calculate the volume of each pocket instead of the Monte Carlo method. This algorithm puts each pocket into a grid of dimension (1/N*X ; 1/N*Y ; 1/N*Z), N being the value given using this option, and X, Y and Z being the box dimensions, determined using coordinates of vertices. Then, a triple iteration on each dimensions is used to estimate the volume, checking if each points given by the iteration is in one of the pocket’s vertices. This parameter defines the grid discretization. If this parameter is used, this algorithm will be used instead of the Monte Carlo algorithm.
Warning: Although this algorithm could be more accurate, a high value might dramatically slow down the program, as this algorithm has a maximum complexity of N*N*N*nb_vertices, and a minimum of N*N*N !!!
-d (none): Option allowing you to output pockets and properties in a condensed format. This will put to the stdout pocket properties in a tab separated string and write pocket files in a subfolder
-r string: (None) This parameter allows you to run fpocket in a restricted mode. Let's suppose you have a very shallow or large pocket with a ligand inside and the automatic pocket prediction always splits up you pocket or you have only a part of the pocket found. Specifying your ligand residue with -r allows you to detect and characterize you ligand binding site explicitely. For instance for `1UYD.pdb` you can specify `-r 1224:PU8:A` (residue number of the ligand: residue name of the ligand: chain of the ligand)
-r string: (None) This parameter allows you to run fpocket in a restricted mode. Let's suppose you have a very shallow or large pocket with a ligand inside and the automatic pocket prediction always splits up you pocket or you have only a part of the pocket found. Specifying your ligand residue with -r allows you to detect and characterize you ligand binding site explicitly. For instance for `1UYD.pdb` you can specify `-r 1224:PU8:A` (residue number of the ligand: residue name of the ligand: chain of the ligand)
-y string: (filename) EXPERIMENTAL: here you can specify a topology filename in the Amber prmtop format. This can then be used by fpocket & mdpocket to calculate energy grids for your pockets. NB: you have to specify the -x flag to run energy calculations
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