Coverage for biobb_amber / leap / leap_gen_top.py: 64%
123 statements
« prev ^ index » next coverage.py v7.14.0, created at 2026-05-12 10:52 +0000
« prev ^ index » next coverage.py v7.14.0, created at 2026-05-12 10:52 +0000
1#!/usr/bin/env python3
3"""Module containing the LeapGenTop class and the command line interface."""
5import os
6from pathlib import PurePath
7from typing import List, Optional
9from biobb_common.generic.biobb_object import BiobbObject
10from biobb_common.tools import file_utils as fu
11from biobb_common.tools.file_utils import launchlogger
13from biobb_amber.leap.common import _from_string_to_list
16class LeapGenTop(BiobbObject):
17 """
18 | biobb_amber.leap.leap_gen_top LeapGenTop
19 | Wrapper of the `AmberTools (AMBER MD Package) leap tool <https://ambermd.org/AmberTools.php>`_ module.
20 | Generates a MD topology from a molecule structure using tLeap tool from the AmberTools MD package.
22 Args:
23 input_pdb_path (str): Input 3D structure PDB file. File type: input. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/data/leap/structure.leapin.pdb>`_. Accepted formats: pdb (edam:format_1476).
24 input_lib_path (str) (Optional): Input ligand library parameters file. File type: input. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/data/leap/ligand.lib>`_. Accepted formats: lib (edam:format_3889), zip (edam:format_3987).
25 input_frcmod_path (str) (Optional): Input ligand frcmod parameters file. File type: input. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/data/leap/ligand.frcmod>`_. Accepted formats: frcmod (edam:format_3888), zip (edam:format_3987).
26 input_params_path (str) (Optional): Additional leap parameter files to load with loadAmberParams Leap command. File type: input. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/data/leap/frcmod.ionsdang_spce.txt>`_. Accepted formats: in (edam:format_2330), leapin (edam:format_2330), txt (edam:format_2330), zip (edam:format_3987).
27 input_prep_path (str) (Optional): Additional leap parameter files to load with loadAmberPrep Leap command. File type: input. Accepted formats: in (edam:format_2330), leapin (edam:format_2330), txt (edam:format_2330), zip (edam:format_3987).
28 input_source_path (str) (Optional): Additional leap command files to load with source Leap command. File type: input. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/data/leap/leaprc.water.spce.txt>`_. Accepted formats: in (edam:format_2330), leapin (edam:format_2330), txt (edam:format_2330), zip (edam:format_3987).
29 output_pdb_path (str): Output 3D structure PDB file matching the topology file. File type: output. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/reference/leap/structure.leap.pdb>`_. Accepted formats: pdb (edam:format_1476).
30 output_top_path (str): Output topology file (AMBER ParmTop). File type: output. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/reference/leap/structure.leap.top>`_. Accepted formats: top (edam:format_3881), parmtop (edam:format_3881), prmtop (edam:format_3881).
31 output_crd_path (str): Output coordinates file (AMBER crd). File type: output. `Sample file <https://github.com/bioexcel/biobb_amber/raw/master/biobb_amber/test/reference/leap/structure.leap.crd>`_. Accepted formats: crd (edam:format_3878), mdcrd (edam:format_3878), inpcrd (edam:format_3878).
32 properties (dic - Python dictionary object containing the tool parameters, not input/output files):
33 * **forcefield** (*list*) - (["protein.ff14SB","DNA.bsc1","gaff"]) Forcefields to be used for the structure generation. Each item should be either a path to a leaprc file or a string with the leaprc file name if the force field is included with Amber (e.g. "/path/to/leaprc.protein.ff14SB" or "protein.ff14SB"). Default values: ["protein.ff14SB","DNA.bsc1","gaff"].
34 * **binary_path** (*str*) - ("tleap") Path to the tleap executable binary.
35 * **remove_tmp** (*bool*) - (True) [WF property] Remove temporal files.
36 * **restart** (*bool*) - (False) [WF property] Do not execute if output files exist.
37 * **sandbox_path** (*str*) - ("./") [WF property] Parent path to the sandbox directory.
38 * **container_path** (*str*) - (None) Container path definition.
39 * **container_image** (*str*) - ('afandiadib/ambertools:serial') Container image definition.
40 * **container_volume_path** (*str*) - ('/tmp') Container volume path definition.
41 * **container_working_dir** (*str*) - (None) Container working directory definition.
42 * **container_user_id** (*str*) - (None) Container user_id definition.
43 * **container_shell_path** (*str*) - ('/bin/bash') Path to default shell inside the container.
45 Examples:
46 This is a use example of how to use the building block from Python::
48 from biobb_amber.leap.leap_gen_top import leap_gen_top
49 prop = {
50 'forcefield': ['protein.ff14SB']
51 }
52 leap_gen_top(input_pdb_path='/path/to/structure.pdb',
53 output_pdb_path='/path/to/newStructure.pdb',
54 output_top_path='/path/to/newTopology.top',
55 output_crd_path='/path/to/newCoordinates.crd',
56 properties=prop)
58 Info:
59 * wrapped_software:
60 * name: AmberTools tLeap
61 * version: >20.9
62 * license: LGPL 2.1
63 * ontology:
64 * name: EDAM
65 * schema: http://edamontology.org/EDAM.owl
67 """
69 def __init__(
70 self,
71 input_pdb_path: str,
72 output_pdb_path: str,
73 output_top_path: str,
74 output_crd_path: str,
75 input_lib_path: Optional[str] = None,
76 input_frcmod_path: Optional[str] = None,
77 input_params_path: Optional[str] = None,
78 input_prep_path: Optional[str] = None,
79 input_source_path: Optional[str] = None,
80 properties: Optional[dict] = None,
81 **kwargs,
82 ):
83 properties = properties or {}
85 # Call parent class constructor
86 super().__init__(properties)
87 self.locals_var_dict = locals().copy()
89 # Input/Output files
90 self.io_dict = {
91 "in": {
92 "input_pdb_path": input_pdb_path,
93 "input_lib_path": input_lib_path,
94 "input_frcmod_path": input_frcmod_path,
95 "input_params_path": input_params_path,
96 "input_prep_path": input_prep_path,
97 "input_source_path": input_source_path,
98 },
99 "out": {
100 "output_pdb_path": output_pdb_path,
101 "output_top_path": output_top_path,
102 "output_crd_path": output_crd_path,
103 },
104 }
106 # # Ligand Parameter lists
107 # self.ligands_lib_list = []
108 # if input_lib_path:
109 # self.ligands_lib_list.append(input_lib_path)
110 #
111 # self.ligands_frcmod_list = []
112 # if input_frcmod_path:
113 # self.ligands_frcmod_list.append(input_frcmod_path)
115 # Properties specific for BB
116 self.properties = properties
118 # Set default forcefields
119 if self.container_path:
120 #self.forcefield = "leaprc.protein.ff14SB"
121 self.forcefield = _from_string_to_list(
122 properties.get("forcefield", ['leaprc.protein.ff14SB', 'leaprc.DNA.bsc1', 'leaprc.gaff'])
123 )
124 else:
125 amber_home_path = os.getenv("AMBERHOME")
126 protein_ff14SB_path = os.path.join(amber_home_path, 'dat', 'leap', 'cmd', 'leaprc.protein.ff14SB')
127 dna_bsc1_path = os.path.join(amber_home_path, 'dat', 'leap', 'cmd', 'leaprc.DNA.bsc1')
128 gaff_path = os.path.join(amber_home_path, 'dat', 'leap', 'cmd', 'leaprc.gaff')
130 self.forcefield = _from_string_to_list(
131 properties.get("forcefield", [protein_ff14SB_path, dna_bsc1_path, gaff_path])
132 )
133 # Find the paths of the leaprc files if only the force field names are provided
134 self.forcefield = self.find_leaprc_paths(self.forcefield)
136 self.binary_path = properties.get("binary_path", "tleap")
138 # Check the properties
139 self.check_properties(properties)
140 self.check_arguments()
142 def find_leaprc_paths(self, forcefields: List[str]) -> List[str]:
143 """
144 Find the leaprc paths for the force fields provided.
146 For each item in the forcefields list, the function checks if the str is a path to an existing file.
147 If not, it tries to find the file in the $AMBERHOME/dat/leap/cmd/ directory or the $AMBERHOME/dat/leap/cmd/oldff/
148 directory with and without the leaprc prefix.
150 Args:
151 forcefields (List[str]): List of force fields to find the leaprc files for.
153 Returns:
154 List[str]: List of leaprc file paths.
155 """
157 leaprc_paths = []
159 for forcefield in forcefields:
161 num_paths = len(leaprc_paths)
163 # Check if the forcefield is a path to an existing file
164 if os.path.exists(forcefield):
165 leaprc_paths.append(forcefield)
166 continue
168 # Check if the forcefield is in the leaprc directory
169 leaprc_path = os.path.join(os.environ.get('AMBERHOME', ''), 'dat', 'leap', 'cmd', f"leaprc.{forcefield}")
170 if os.path.exists(leaprc_path):
171 leaprc_paths.append(leaprc_path)
172 continue
174 # Check if the forcefield is in the oldff directory
175 leaprc_path = os.path.join(os.environ.get('AMBERHOME', ''), 'dat', 'leap', 'cmd', 'oldff', f"leaprc.{forcefield}")
176 if os.path.exists(leaprc_path):
177 leaprc_paths.append(leaprc_path)
178 continue
180 # Check if the forcefield is in the leaprc directory without the leaprc prefix
181 leaprc_path = os.path.join(os.environ.get('AMBERHOME', ''), 'dat', 'leap', 'cmd', f"{forcefield}")
182 if os.path.exists(leaprc_path):
183 leaprc_paths.append(leaprc_path)
184 continue
186 # Check if the forcefield is in the oldff directory without the leaprc prefix
187 leaprc_path = os.path.join(os.environ.get('AMBERHOME', ''), 'dat', 'leap', 'cmd', 'oldff', f"{forcefield}")
188 if os.path.exists(leaprc_path):
189 leaprc_paths.append(leaprc_path)
190 continue
192 new_num_paths = len(leaprc_paths)
194 if new_num_paths == num_paths:
195 raise ValueError(f"Force field {forcefield} not found. Check the $AMBERHOME/dat/leap/cmd/ directory for available force fields or provide the path to an existing leaprc file.")
197 return leaprc_paths
199 # def check_data_params(self, out_log, err_log):
200 # """ Checks input/output paths correctness """
202 # # Check input(s)
203 # self.io_dict["in"]["input_pdb_path"] = check_input_path(self.io_dict["in"]["input_pdb_path"], "input_pdb_path", False, out_log, self.__class__.__name__)
204 # self.io_dict["in"]["input_lib_path"] = check_input_path(self.io_dict["in"]["input_lib_path"], "input_lib_path", True, out_log, self.__class__.__name__)
205 # self.io_dict["in"]["input_frcmod_path"] = check_input_path(self.io_dict["in"]["input_frcmod_path"], "input_frcmod_path", True, out_log, self.__class__.__name__)
206 # # self.io_dict["in"]["input_params_path"] = check_input_path(self.io_dict["in"]["input_params_path"], "input_params_path", True, out_log, self.__class__.__name__)
207 # # self.io_dict["in"]["input_prep_path"] = check_input_path(self.io_dict["in"]["input_params_path"], "input_params_path", True, out_log, self.__class__.__name__)
208 # # self.io_dict["in"]["input_source_path"] = check_input_path(self.io_dict["in"]["input_source_path"], "input_source_path", True, out_log, self.__class__.__name__)
210 # # Check output(s)
211 # self.io_dict["out"]["output_pdb_path"] = check_output_path(self.io_dict["out"]["output_pdb_path"], "output_pdb_path", False, out_log, self.__class__.__name__)
212 # self.io_dict["out"]["output_top_path"] = check_output_path(self.io_dict["out"]["output_top_path"], "output_top_path", False, out_log, self.__class__.__name__)
213 # self.io_dict["out"]["output_crd_path"] = check_output_path(self.io_dict["out"]["output_crd_path"], "output_crd_path", False, out_log, self.__class__.__name__)
215 @launchlogger
216 def launch(self):
217 """Launches the execution of the LeapGenTop module."""
219 # check input/output paths and parameters
220 # self.check_data_params(self.out_log, self.err_log)
222 # Setup Biobb
223 if self.check_restart():
224 return 0
225 self.stage_files()
227 # Creating temporary folder & Leap configuration (instructions) file
228 if self.container_path:
229 instructions_file = str(
230 PurePath(self.stage_io_dict["unique_dir"]).joinpath("leap.in")
231 )
232 instructions_file_path = str(
233 PurePath(self.container_volume_path).joinpath("leap.in")
234 )
235 tmp_folder = None
236 else:
237 tmp_folder = fu.create_unique_dir()
238 instructions_file = str(PurePath(tmp_folder).joinpath("leap.in"))
239 fu.log("Creating %s temporary folder" % tmp_folder, self.out_log)
240 instructions_file_path = instructions_file
242 ligands_lib_list = []
243 if self.io_dict["in"]["input_lib_path"] is not None:
244 if self.io_dict["in"]["input_lib_path"].endswith(".zip"):
245 ligands_lib_list = fu.unzip_list(
246 self.stage_io_dict["in"]["input_lib_path"],
247 dest_dir=tmp_folder,
248 out_log=self.out_log,
249 )
250 else:
251 ligands_lib_list.append(self.stage_io_dict["in"]["input_lib_path"])
253 ligands_frcmod_list = []
254 if self.io_dict["in"]["input_frcmod_path"] is not None:
255 if self.io_dict["in"]["input_frcmod_path"].endswith(".zip"):
256 ligands_frcmod_list = fu.unzip_list(
257 self.stage_io_dict["in"]["input_frcmod_path"],
258 dest_dir=tmp_folder,
259 out_log=self.out_log,
260 )
261 else:
262 ligands_frcmod_list.append(
263 self.stage_io_dict["in"]["input_frcmod_path"]
264 )
266 amber_params_list = []
267 if self.io_dict["in"]["input_params_path"] is not None:
268 if self.io_dict["in"]["input_params_path"].endswith(".zip"):
269 amber_params_list = fu.unzip_list(
270 self.stage_io_dict["in"]["input_params_path"],
271 dest_dir=tmp_folder,
272 out_log=self.out_log,
273 )
274 else:
275 amber_params_list.append(self.stage_io_dict["in"]["input_params_path"])
277 amber_prep_list = []
278 if self.io_dict["in"]["input_prep_path"] is not None:
279 if self.io_dict["in"]["input_prep_path"].endswith(".zip"):
280 amber_prep_list = fu.unzip_list(
281 self.stage_io_dict["in"]["input_prep_path"],
282 dest_dir=tmp_folder,
283 out_log=self.out_log,
284 )
285 else:
286 amber_prep_list.append(self.stage_io_dict["in"]["input_prep_path"])
288 leap_source_list = []
289 if self.io_dict["in"]["input_source_path"] is not None:
290 if self.io_dict["in"]["input_source_path"].endswith(".zip"):
291 leap_source_list = fu.unzip_list(
292 self.stage_io_dict["in"]["input_source_path"],
293 dest_dir=tmp_folder,
294 out_log=self.out_log,
295 )
296 else:
297 leap_source_list.append(self.stage_io_dict["in"]["input_source_path"])
299 with open(instructions_file, "w") as leapin:
300 # Forcefields loaded by default:
301 # Protein: ff14SB (PARM99 + frcmod.ff99SB + frcmod.parmbsc0 + OL3 for RNA)
302 # leapin.write("source leaprc.protein.ff14SB \n")
303 # DNA: parmBSC1 (ParmBSC1 (ff99 + bsc0 + bsc1) for DNA. Ivani et al. Nature Methods 13: 55, 2016)
304 # leapin.write("source leaprc.DNA.bsc1 \n")
305 # Ligands: GAFF (General Amber Force field, J. Comput. Chem. 2004 Jul 15;25(9):1157-74)
306 # leapin.write("source leaprc.gaff \n")
308 # Forcefields loaded from input forcefield property
309 for t in self.forcefield:
310 if self.container_path:
311 leapin.write("source leaprc.{}\n".format(t))
312 else:
313 leapin.write("source {}\n".format(t))
315 # Additional Leap commands
316 for leap_commands in leap_source_list:
317 leapin.write("source " + leap_commands + "\n")
319 # Additional Amber parameters
320 for amber_params in amber_params_list:
321 leapin.write("loadamberparams " + amber_params + "\n")
323 # Additional Amber prep files
324 for amber_prep in amber_prep_list:
325 leapin.write("loadamberprep " + amber_prep + "\n")
327 # Ions libraries
328 leapin.write("loadOff atomic_ions.lib \n")
330 # Ligand(s) libraries (if any)
331 for amber_lib in ligands_lib_list:
332 leapin.write("loadOff " + amber_lib + "\n")
333 for amber_frcmod in ligands_frcmod_list:
334 leapin.write("loadamberparams " + amber_frcmod + "\n")
336 # Loading PDB file
337 leapin.write(
338 "mol = loadpdb " + self.stage_io_dict["in"]["input_pdb_path"] + " \n"
339 )
341 # Saving output PDB file, coordinates and topology
342 leapin.write(
343 "savepdb mol " + self.stage_io_dict["out"]["output_pdb_path"] + " \n"
344 )
345 leapin.write(
346 "saveAmberParm mol " + self.stage_io_dict["out"]["output_top_path"] + " " + self.stage_io_dict["out"]["output_crd_path"] + "\n"
347 )
348 leapin.write("quit \n")
350 # Command line
351 self.cmd = [self.binary_path, "-f", instructions_file_path]
353 # Run Biobb block
354 self.run_biobb()
356 # Copy files to host
357 self.copy_to_host()
359 # remove temporary folder(s)
360 self.tmp_files.extend([str(tmp_folder), "leap.log"])
361 self.remove_tmp_files()
363 self.check_arguments(output_files_created=True, raise_exception=False)
365 return self.return_code
368def leap_gen_top(
369 input_pdb_path: str,
370 output_pdb_path: str,
371 output_top_path: str,
372 output_crd_path: str,
373 input_lib_path: Optional[str] = None,
374 input_frcmod_path: Optional[str] = None,
375 input_params_path: Optional[str] = None,
376 input_prep_path: Optional[str] = None,
377 input_source_path: Optional[str] = None,
378 properties: Optional[dict] = None,
379 **kwargs,
380) -> int:
381 """Create the :class:`LeapGenTop <leap.leap_gen_top.LeapGenTop>` class and
382 execute the :meth:`launch() <leap.leap_gen_top.LeapGenTop.launch>` method."""
383 return LeapGenTop(**dict(locals())).launch()
386leap_gen_top.__doc__ = LeapGenTop.__doc__
387main = LeapGenTop.get_main(leap_gen_top, "Generating a MD topology from a molecule structure using tLeap program from AmberTools MD package.")
389if __name__ == "__main__":
390 main()