diff --git a/rmgpy/data/kinetics/family.py b/rmgpy/data/kinetics/family.py
index 31b7695632..dd6793f1b7 100644
--- a/rmgpy/data/kinetics/family.py
+++ b/rmgpy/data/kinetics/family.py
@@ -1144,11 +1144,24 @@ def get_rate_rule(self, template):
             raise ValueError('No entry for template {0}.'.format(template))
         return entry
 
-    def add_rules_from_training(self, thermo_database=None, train_indices=None):
+    def add_rules_from_training(self, thermo_database=None, train_indices=None, constraints={}):
         """
         For each reaction involving real reactants and products in the training
-        set, add a rate rule for that reaction.
+        set, add a rate rule for that reaction if it does not violate any provided `constraints`
+
+        `constraints` (dict):
+            "metal" : list of allowed metals (e.g ['Pt']) or None (all allowed)
+            "facet" : list of allowed facets (e.g ['111']) or None (all allowed)
+            "elements" : list of allowed elements (e.g ['C','H','O']) or None (all allowed)
+            "forward_only" : True/False, if True, only reactions in the forward direction are allowed 
         """
+
+        # Parse the constraints for selection of training reactions
+        allowed_metals = constraints.get('metal')
+        allowed_facets = constraints.get('facet')
+        allowed_elements = constraints.get('elements')
+        forward_only = constraints.get('forward_only', False)
+
         try:
             depository = self.get_training_depository()
         except:
@@ -1173,12 +1186,33 @@ def add_rules_from_training(self, thermo_database=None, train_indices=None):
 
         reverse_entries = []
         for entry in entries:
+            # skip entry if it has an element that is not allowed
+            if allowed_elements is not None:
+                violates_element_constraint = False
+                for reactant in entry.item.reactants:
+                    for element in reactant.molecule[0].get_element_count().keys():
+                        if element not in allowed_elements:
+                            violates_element_constraint = True
+                            break
+                if violates_element_constraint:
+                    continue
+            if entry.item.is_surface_reaction():
+                # skip entry if the metal is not allowed
+                if allowed_metals:
+                    if entry.metal not in allowed_metals:
+                        continue
+                # skip entry if the facet is not allowed
+                if allowed_facets:
+                    if entry.facet not in allowed_facets:
+                        continue
+
             try:
                 template = self.get_reaction_template(entry.item)
             except UndeterminableKineticsError:
                 # Some entries might be stored in the reverse direction for
-                # this family; save them so we can try this
-                reverse_entries.append(entry)
+                # this family; save them so we can try this in reverse if `forward only` is False
+                if not forward_only:
+                    reverse_entries.append(entry)
                 continue
 
             tentries[entry.index].item.is_forward = True
diff --git a/rmgpy/rmg/input.py b/rmgpy/rmg/input.py
index 4017004b6e..3ec62ccb78 100644
--- a/rmgpy/rmg/input.py
+++ b/rmgpy/rmg/input.py
@@ -827,6 +827,26 @@ def generated_species_constraints(**kwargs):
 
         rmg.species_constraints[key] = value
 
+def training_reactions_constraints(**kwargs):
+    valid_constraints = [
+        'metal',
+        'facet',
+        'elements',
+        'forward_only'
+    ]
+
+    for key, value in kwargs.items():
+        if key not in valid_constraints:
+            raise InputError('Invalid generated species constraint {0!r}.'.format(key))
+        if key == 'forward_only':
+            if not isinstance(value, bool):
+                raise InputError('Invalid value for `forward_only` constraint {0!r}. Value must be a bool (True or False)'.format(value))
+            rmg.training_reactions_constraints[key] = value
+            continue
+        if not isinstance(value, list):
+            value = [value]
+        rmg.training_reactions_constraints[key] = [str(v) for v in value]
+
 
 def thermo_central_database(host,
                             port,
@@ -968,6 +988,7 @@ def read_input_file(path, rmg0):
         'pressureDependence': pressure_dependence,
         'options': options,
         'generatedSpeciesConstraints': generated_species_constraints,
+        'trainingReactionsConstraints': training_reactions_constraints,
         'thermoCentralDatabase': thermo_central_database,
         'uncertainty': uncertainty,
         'restartFromSeed': restart_from_seed,
@@ -1217,6 +1238,14 @@ def save_input_file(path, rmg):
                 f.write('    {0} = {1},\n'.format(constraint, value))
         f.write(')\n\n')
 
+    # Training Reactions Constraints
+    if rmg.training_reactions_constraints:
+        f.write('trainingReactionsConstraints(\n')
+        for constraint, value in sorted(list(rmg.training_reactions_constraints.items()), key=lambda constraint: constraint[0]):
+            if value is not None:
+                f.write('    {0} = {1},\n'.format(constraint, value))
+        f.write(')\n\n')
+
     # Options
     f.write('options(\n')
     f.write('    units = "{0}",\n'.format(rmg.units))
diff --git a/rmgpy/rmg/main.py b/rmgpy/rmg/main.py
index b986f915c1..d2933e8700 100644
--- a/rmgpy/rmg/main.py
+++ b/rmgpy/rmg/main.py
@@ -221,6 +221,7 @@ def clear(self):
         self.ml_estimator = None
         self.ml_settings = None
         self.species_constraints = {}
+        self.training_reactions_constraints = {}
         self.walltime = '00:00:00:00'
         self.save_seed_modulus = -1
         self.max_iterations = None
@@ -417,7 +418,7 @@ def load_database(self):
                 self.species_constraints = {}
                 for family in self.database.kinetics.families.values():
                     if not family.auto_generated:
-                        family.add_rules_from_training(thermo_database=self.database.thermo)
+                        family.add_rules_from_training(thermo_database=self.database.thermo, constraints=self.training_reactions_constraints)
 
                     # If requested by the user, write a text file for each kinetics family detailing the source of each entry
                     if self.kinetics_datastore: