Spaces:
Sleeping
Sleeping
Merge branch 'main' of hf.co:spaces/libokj/GenFBDD
Browse files- app/main.py +2 -0
- configs/geom_difflinker.yml +0 -38
- configs/geom_difflinker_given_anchors.yml +0 -37
- configs/pockets_difflinker_backbone.yml +0 -38
- configs/pockets_difflinker_full.yml +0 -38
- configs/pockets_difflinker_full_no_anchors.yml +0 -39
- configs/pockets_difflinker_full_no_anchors_fc.yml +0 -39
- configs/pockets_difflinker_unconditioned.yml +0 -38
- configs/zinc_difflinker.yml +0 -38
- configs/zinc_difflinker_given_anchors.yml +0 -37
- fpocket +3 -0
- resources/checkpoints/DiffDock/confidence_model/model_parameters.yml +117 -117
- resources/checkpoints/DiffDock/score_model/model_parameters.yml +171 -171
- results/job_db.json +0 -0
app/main.py
CHANGED
@@ -1,3 +1,4 @@
|
|
|
|
1 |
import uuid
|
2 |
import zipfile
|
3 |
from datetime import datetime
|
@@ -22,6 +23,7 @@ from app import static, fn, db
|
|
22 |
|
23 |
gr.set_static_paths(paths=["data/", "results/", "app/"])
|
24 |
job_db = db.init_job_db()
|
|
|
25 |
|
26 |
FRAG_LIBS = {'': None} | {
|
27 |
lib_path.stem.replace('_', ' '): str(lib_path) for lib_path in Path('data/fragment_libraries').glob('*')
|
|
|
1 |
+
import os
|
2 |
import uuid
|
3 |
import zipfile
|
4 |
from datetime import datetime
|
|
|
23 |
|
24 |
gr.set_static_paths(paths=["data/", "results/", "app/"])
|
25 |
job_db = db.init_job_db()
|
26 |
+
os.chmod('./fpocket', 0o755)
|
27 |
|
28 |
FRAG_LIBS = {'': None} | {
|
29 |
lib_path.stem.replace('_', ' '): str(lib_path) for lib_path in Path('data/fragment_libraries').glob('*')
|
configs/geom_difflinker.yml
DELETED
@@ -1,38 +0,0 @@
|
|
1 |
-
exp_name: 'geom_difflinker'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: geom_multifrag_train
|
4 |
-
val_data_prefix: geom_multifrag_val
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 64
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1500
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 10
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: fragments
|
30 |
-
remove_anchors_context: True
|
31 |
-
|
32 |
-
sin_embedding: False
|
33 |
-
normalization_factor: 100
|
34 |
-
normalize_factors: [1, 4, 10]
|
35 |
-
aggregation_method: 'sum'
|
36 |
-
normalization: batch_norm
|
37 |
-
|
38 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/geom_difflinker_given_anchors.yml
DELETED
@@ -1,37 +0,0 @@
|
|
1 |
-
exp_name: 'geom_difflinker_given_anchors'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: geom_multifrag_train
|
4 |
-
val_data_prefix: geom_multifrag_val
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 128
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1500
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 10
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: anchors
|
30 |
-
|
31 |
-
sin_embedding: False
|
32 |
-
normalization_factor: 100
|
33 |
-
normalize_factors: [1, 4, 10]
|
34 |
-
aggregation_method: 'sum'
|
35 |
-
normalization: batch_norm
|
36 |
-
|
37 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/pockets_difflinker_backbone.yml
DELETED
@@ -1,38 +0,0 @@
|
|
1 |
-
exp_name: 'pockets_difflinker_backbone'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: MOAD_train.bb
|
4 |
-
val_data_prefix: MOAD_val.bb
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 32
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 5
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: anchors
|
30 |
-
graph_type: 4A
|
31 |
-
|
32 |
-
sin_embedding: False
|
33 |
-
normalization_factor: 100
|
34 |
-
normalize_factors: [1, 4, 10]
|
35 |
-
aggregation_method: 'sum'
|
36 |
-
normalization: batch_norm
|
37 |
-
|
38 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/pockets_difflinker_full.yml
DELETED
@@ -1,38 +0,0 @@
|
|
1 |
-
exp_name: 'pockets_difflinker_full'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: MOAD_train.full
|
4 |
-
val_data_prefix: MOAD_val.full
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 32
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 5
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: anchors
|
30 |
-
graph_type: 4A
|
31 |
-
|
32 |
-
sin_embedding: False
|
33 |
-
normalization_factor: 100
|
34 |
-
normalize_factors: [1, 4, 10]
|
35 |
-
aggregation_method: 'sum'
|
36 |
-
normalization: batch_norm
|
37 |
-
|
38 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/pockets_difflinker_full_no_anchors.yml
DELETED
@@ -1,39 +0,0 @@
|
|
1 |
-
exp_name: 'pockets_difflinker_full'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: MOAD_train.full
|
4 |
-
val_data_prefix: MOAD_val.full
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 32
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 5
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: fragments
|
30 |
-
remove_anchors_context: True
|
31 |
-
graph_type: 4A
|
32 |
-
|
33 |
-
sin_embedding: False
|
34 |
-
normalization_factor: 100
|
35 |
-
normalize_factors: [1, 4, 10]
|
36 |
-
aggregation_method: 'sum'
|
37 |
-
normalization: batch_norm
|
38 |
-
|
39 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/pockets_difflinker_full_no_anchors_fc.yml
DELETED
@@ -1,39 +0,0 @@
|
|
1 |
-
exp_name: 'pockets_full_no_anchors_fc'
|
2 |
-
data: /home/igashov/work/diffusion_linker_data/e3_ddpm_linker_design/bindingmoad
|
3 |
-
train_data_prefix: MOAD_train.full
|
4 |
-
val_data_prefix: MOAD_val.full
|
5 |
-
checkpoints: /home/igashov/work/diffusion_linker_data/e3_ddpm_linker_design/checkpoints
|
6 |
-
logs: /home/igashov/work/diffusion_linker_data/e3_ddpm_linker_design/logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: geometric
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 16
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 5
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: fragments
|
30 |
-
remove_anchors_context: True
|
31 |
-
graph_type: FC-10A-4A
|
32 |
-
|
33 |
-
sin_embedding: False
|
34 |
-
normalization_factor: 100
|
35 |
-
normalize_factors: [1, 4, 10]
|
36 |
-
aggregation_method: 'sum'
|
37 |
-
normalization: batch_norm
|
38 |
-
|
39 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/pockets_difflinker_unconditioned.yml
DELETED
@@ -1,38 +0,0 @@
|
|
1 |
-
exp_name: 'pockets_difflinker_unconditioned'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: MOAD_train
|
4 |
-
val_data_prefix: MOAD_val
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 32
|
15 |
-
n_layers: 6
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 5
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: anchors
|
30 |
-
graph_type: 4A
|
31 |
-
|
32 |
-
sin_embedding: False
|
33 |
-
normalization_factor: 100
|
34 |
-
normalize_factors: [1, 4, 10]
|
35 |
-
aggregation_method: 'sum'
|
36 |
-
normalization: batch_norm
|
37 |
-
|
38 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/zinc_difflinker.yml
DELETED
@@ -1,38 +0,0 @@
|
|
1 |
-
exp_name: 'zinc_difflinker'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: zinc_final_train
|
4 |
-
val_data_prefix: zinc_final_val
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: True
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 128
|
15 |
-
n_layers: 8
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 10
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: fragments
|
30 |
-
remove_anchors_context: True
|
31 |
-
|
32 |
-
sin_embedding: False
|
33 |
-
normalization_factor: 100
|
34 |
-
normalize_factors: [1, 4, 10]
|
35 |
-
aggregation_method: 'sum'
|
36 |
-
normalization: batch_norm
|
37 |
-
|
38 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
configs/zinc_difflinker_given_anchors.yml
DELETED
@@ -1,37 +0,0 @@
|
|
1 |
-
exp_name: 'zinc_difflinker_given_anchors'
|
2 |
-
data: datasets
|
3 |
-
train_data_prefix: zinc_final_train
|
4 |
-
val_data_prefix: zinc_final_val
|
5 |
-
checkpoints: models
|
6 |
-
logs: logs
|
7 |
-
device: gpu
|
8 |
-
log_iterations: null
|
9 |
-
wandb_entity: null
|
10 |
-
enable_progress_bar: False
|
11 |
-
|
12 |
-
model: egnn_dynamics
|
13 |
-
lr: 2.0e-4
|
14 |
-
batch_size: 128
|
15 |
-
n_layers: 8
|
16 |
-
n_epochs: 1000
|
17 |
-
test_epochs: 20
|
18 |
-
n_stability_samples: 10
|
19 |
-
nf: 128
|
20 |
-
activation: silu
|
21 |
-
attention: False
|
22 |
-
condition_time: True
|
23 |
-
tanh: False
|
24 |
-
norm_constant: 0.000001
|
25 |
-
inv_sublayers: 2
|
26 |
-
include_charges: False
|
27 |
-
diffusion_loss_type: l2
|
28 |
-
data_augmentation: False
|
29 |
-
center_of_mass: anchors
|
30 |
-
|
31 |
-
sin_embedding: False
|
32 |
-
normalization_factor: 100
|
33 |
-
normalize_factors: [1, 4, 10]
|
34 |
-
aggregation_method: 'sum'
|
35 |
-
normalization: batch_norm
|
36 |
-
|
37 |
-
resume:
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
fpocket
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:7754e5992549d29ae2e31ca88c14ba49d8d5dccab234444859f932e231a49641
|
3 |
+
size 1772592
|
resources/checkpoints/DiffDock/confidence_model/model_parameters.yml
CHANGED
@@ -1,117 +1,117 @@
|
|
1 |
-
affinity_prediction: false
|
2 |
-
all_atoms: true
|
3 |
-
asyncronous_noise_schedule: false
|
4 |
-
atom_max_neighbors: 8
|
5 |
-
atom_radius: 5
|
6 |
-
balance: false
|
7 |
-
batch_size: 16
|
8 |
-
best_model_save_frequency: 5
|
9 |
-
c_alpha_max_neighbors: 24
|
10 |
-
cache_creation_id: 1
|
11 |
-
cache_ids_to_combine:
|
12 |
-
- '1'
|
13 |
-
- '2'
|
14 |
-
- '3'
|
15 |
-
- '4'
|
16 |
-
cache_path: data/cacheNew
|
17 |
-
chain_cutoff: 10
|
18 |
-
ckpt: best_model.pt
|
19 |
-
confidence_dropout: 0.0
|
20 |
-
confidence_loss_weigth: 1
|
21 |
-
confidence_no_batchnorm: false
|
22 |
-
confidence_weight: 0.33
|
23 |
-
config: null
|
24 |
-
correct_torsion_sigmas: true
|
25 |
-
cross_distance_embed_dim: 32
|
26 |
-
cross_max_distance: 80
|
27 |
-
data_dir: data/PDBBind_processed/
|
28 |
-
dataloader_drop_last: false
|
29 |
-
different_schedules: false
|
30 |
-
distance_embed_dim: 32
|
31 |
-
dropout: 0.1
|
32 |
-
dynamic_max_cross: true
|
33 |
-
embedding_scale: 10000
|
34 |
-
embedding_type: sinusoidal
|
35 |
-
esm_embeddings_path: data/esm2_3billion_embeddings.pt
|
36 |
-
high_confidence_threshold: 5.0
|
37 |
-
include_confidence_prediction: false
|
38 |
-
inf_sched_alpha: 1.0
|
39 |
-
inf_sched_beta: 1.0
|
40 |
-
inference_steps: 20
|
41 |
-
limit_complexes: 0
|
42 |
-
lm_embeddings_path: null
|
43 |
-
log_dir: workdir
|
44 |
-
lr: 0.0003
|
45 |
-
main_metric: loss
|
46 |
-
main_metric_goal: min
|
47 |
-
matching_maxiter: 20
|
48 |
-
matching_popsize: 20
|
49 |
-
max_lig_size: null
|
50 |
-
max_radius: 5.0
|
51 |
-
model_save_frequency: 0
|
52 |
-
multiplicity: 1
|
53 |
-
n_epochs: 100
|
54 |
-
no_batch_norm: false
|
55 |
-
no_torsion: false
|
56 |
-
norm_by_sigma: false
|
57 |
-
not_full_dataset: false
|
58 |
-
ns: 24
|
59 |
-
num_conformers: 1
|
60 |
-
num_conv_layers: 5
|
61 |
-
num_workers: 1
|
62 |
-
nv: 6
|
63 |
-
odd_parity: false
|
64 |
-
original_model_dir: workdir/temp_restart_ema_ESM2emb_tr34
|
65 |
-
parallel: 1
|
66 |
-
parallel_aggregators: mean max min std
|
67 |
-
project: ligbind_filtering
|
68 |
-
receptor_radius: 15.0
|
69 |
-
remove_hs: true
|
70 |
-
restart_dir: null
|
71 |
-
rmsd_classification_cutoff:
|
72 |
-
- 2.0
|
73 |
-
rmsd_prediction: false
|
74 |
-
rot_alpha: 1
|
75 |
-
rot_beta: 1
|
76 |
-
rot_inf_sched_alpha: 1
|
77 |
-
rot_inf_sched_beta: 1
|
78 |
-
rot_sigma_max: 1.55
|
79 |
-
rot_sigma_min: 0.03
|
80 |
-
rot_sigma_schedule: expbeta
|
81 |
-
rot_sigmoid_schedule: false
|
82 |
-
rot_weight: 0.33
|
83 |
-
run_name: fixedSamples28_id1_FILTERFROM_temp_restart_ema_ESM2emb_tr34
|
84 |
-
samples_per_complex: 7
|
85 |
-
sampling_alpha: 1
|
86 |
-
sampling_beta: 1
|
87 |
-
scale_by_sigma: true
|
88 |
-
schedule_k: 10
|
89 |
-
schedule_m: 0.4
|
90 |
-
scheduler: plateau
|
91 |
-
scheduler_patience: 50
|
92 |
-
separate_noise_schedule: false
|
93 |
-
sigma_embed_dim: 32
|
94 |
-
sigma_schedule: expbeta
|
95 |
-
smooth_edges: false
|
96 |
-
split_test: data/splits/timesplit_test
|
97 |
-
split_train: data/splits/timesplit_no_lig_overlap_train
|
98 |
-
split_val: data/splits/timesplit_no_lig_overlap_val
|
99 |
-
tor_alpha: 1
|
100 |
-
tor_beta: 1
|
101 |
-
tor_inf_sched_alpha: 1
|
102 |
-
tor_inf_sched_beta: 1
|
103 |
-
tor_sigma_max: 3.14
|
104 |
-
tor_sigma_min: 0.0314
|
105 |
-
tor_sigma_schedule: expbeta
|
106 |
-
tor_weight: 0.33
|
107 |
-
tp_attention: false
|
108 |
-
tr_only_confidence: true
|
109 |
-
tr_sigma_max: 34.0
|
110 |
-
tr_sigma_min: 0.1
|
111 |
-
tr_weight: 0.33
|
112 |
-
train_sampling: linear
|
113 |
-
transfer_weights: false
|
114 |
-
use_original_model_cache: false
|
115 |
-
use_second_order_repr: false
|
116 |
-
w_decay: 0.0
|
117 |
-
wandb: true
|
|
|
1 |
+
affinity_prediction: false
|
2 |
+
all_atoms: true
|
3 |
+
asyncronous_noise_schedule: false
|
4 |
+
atom_max_neighbors: 8
|
5 |
+
atom_radius: 5
|
6 |
+
balance: false
|
7 |
+
batch_size: 16
|
8 |
+
best_model_save_frequency: 5
|
9 |
+
c_alpha_max_neighbors: 24
|
10 |
+
cache_creation_id: 1
|
11 |
+
cache_ids_to_combine:
|
12 |
+
- '1'
|
13 |
+
- '2'
|
14 |
+
- '3'
|
15 |
+
- '4'
|
16 |
+
cache_path: data/cacheNew
|
17 |
+
chain_cutoff: 10
|
18 |
+
ckpt: best_model.pt
|
19 |
+
confidence_dropout: 0.0
|
20 |
+
confidence_loss_weigth: 1
|
21 |
+
confidence_no_batchnorm: false
|
22 |
+
confidence_weight: 0.33
|
23 |
+
config: null
|
24 |
+
correct_torsion_sigmas: true
|
25 |
+
cross_distance_embed_dim: 32
|
26 |
+
cross_max_distance: 80
|
27 |
+
data_dir: data/PDBBind_processed/
|
28 |
+
dataloader_drop_last: false
|
29 |
+
different_schedules: false
|
30 |
+
distance_embed_dim: 32
|
31 |
+
dropout: 0.1
|
32 |
+
dynamic_max_cross: true
|
33 |
+
embedding_scale: 10000
|
34 |
+
embedding_type: sinusoidal
|
35 |
+
esm_embeddings_path: data/esm2_3billion_embeddings.pt
|
36 |
+
high_confidence_threshold: 5.0
|
37 |
+
include_confidence_prediction: false
|
38 |
+
inf_sched_alpha: 1.0
|
39 |
+
inf_sched_beta: 1.0
|
40 |
+
inference_steps: 20
|
41 |
+
limit_complexes: 0
|
42 |
+
lm_embeddings_path: null
|
43 |
+
log_dir: workdir
|
44 |
+
lr: 0.0003
|
45 |
+
main_metric: loss
|
46 |
+
main_metric_goal: min
|
47 |
+
matching_maxiter: 20
|
48 |
+
matching_popsize: 20
|
49 |
+
max_lig_size: null
|
50 |
+
max_radius: 5.0
|
51 |
+
model_save_frequency: 0
|
52 |
+
multiplicity: 1
|
53 |
+
n_epochs: 100
|
54 |
+
no_batch_norm: false
|
55 |
+
no_torsion: false
|
56 |
+
norm_by_sigma: false
|
57 |
+
not_full_dataset: false
|
58 |
+
ns: 24
|
59 |
+
num_conformers: 1
|
60 |
+
num_conv_layers: 5
|
61 |
+
num_workers: 1
|
62 |
+
nv: 6
|
63 |
+
odd_parity: false
|
64 |
+
original_model_dir: workdir/temp_restart_ema_ESM2emb_tr34
|
65 |
+
parallel: 1
|
66 |
+
parallel_aggregators: mean max min std
|
67 |
+
project: ligbind_filtering
|
68 |
+
receptor_radius: 15.0
|
69 |
+
remove_hs: true
|
70 |
+
restart_dir: null
|
71 |
+
rmsd_classification_cutoff:
|
72 |
+
- 2.0
|
73 |
+
rmsd_prediction: false
|
74 |
+
rot_alpha: 1
|
75 |
+
rot_beta: 1
|
76 |
+
rot_inf_sched_alpha: 1
|
77 |
+
rot_inf_sched_beta: 1
|
78 |
+
rot_sigma_max: 1.55
|
79 |
+
rot_sigma_min: 0.03
|
80 |
+
rot_sigma_schedule: expbeta
|
81 |
+
rot_sigmoid_schedule: false
|
82 |
+
rot_weight: 0.33
|
83 |
+
run_name: fixedSamples28_id1_FILTERFROM_temp_restart_ema_ESM2emb_tr34
|
84 |
+
samples_per_complex: 7
|
85 |
+
sampling_alpha: 1
|
86 |
+
sampling_beta: 1
|
87 |
+
scale_by_sigma: true
|
88 |
+
schedule_k: 10
|
89 |
+
schedule_m: 0.4
|
90 |
+
scheduler: plateau
|
91 |
+
scheduler_patience: 50
|
92 |
+
separate_noise_schedule: false
|
93 |
+
sigma_embed_dim: 32
|
94 |
+
sigma_schedule: expbeta
|
95 |
+
smooth_edges: false
|
96 |
+
split_test: data/splits/timesplit_test
|
97 |
+
split_train: data/splits/timesplit_no_lig_overlap_train
|
98 |
+
split_val: data/splits/timesplit_no_lig_overlap_val
|
99 |
+
tor_alpha: 1
|
100 |
+
tor_beta: 1
|
101 |
+
tor_inf_sched_alpha: 1
|
102 |
+
tor_inf_sched_beta: 1
|
103 |
+
tor_sigma_max: 3.14
|
104 |
+
tor_sigma_min: 0.0314
|
105 |
+
tor_sigma_schedule: expbeta
|
106 |
+
tor_weight: 0.33
|
107 |
+
tp_attention: false
|
108 |
+
tr_only_confidence: true
|
109 |
+
tr_sigma_max: 34.0
|
110 |
+
tr_sigma_min: 0.1
|
111 |
+
tr_weight: 0.33
|
112 |
+
train_sampling: linear
|
113 |
+
transfer_weights: false
|
114 |
+
use_original_model_cache: false
|
115 |
+
use_second_order_repr: false
|
116 |
+
w_decay: 0.0
|
117 |
+
wandb: true
|
resources/checkpoints/DiffDock/score_model/model_parameters.yml
CHANGED
@@ -1,171 +1,171 @@
|
|
1 |
-
add_bootstrapping_dataset: false
|
2 |
-
all_atoms: false
|
3 |
-
asyncronous_noise_schedule: false
|
4 |
-
atom_max_neighbors: 8
|
5 |
-
atom_radius: 5
|
6 |
-
backbone_loss_weight: 0
|
7 |
-
batch_size: 12
|
8 |
-
bootstrap_alpha: 1
|
9 |
-
bootstrap_beta: 1
|
10 |
-
bootstrap_tmin: 0
|
11 |
-
bootstrapping_dataset_confidence_cutoff: 0
|
12 |
-
bootstrapping_dataset_iterations: 1
|
13 |
-
bootstrapping_dataset_max_per_complex: 1000
|
14 |
-
bootstrapping_fixed_length: null
|
15 |
-
bootstrapping_temperature: 0
|
16 |
-
c_alpha_max_neighbors: 24
|
17 |
-
cache_creation_id: null
|
18 |
-
cache_ids_to_combine: null
|
19 |
-
cache_path: cache
|
20 |
-
chain_cutoff: 10.0
|
21 |
-
combined_training: true
|
22 |
-
confidence_dropout: 0.0
|
23 |
-
confidence_model_ckpt: best_model.pt
|
24 |
-
confidence_model_dir: workdir/masked_confidence_model
|
25 |
-
confidence_no_batchnorm: false
|
26 |
-
confidence_weight: 0.33
|
27 |
-
config: null
|
28 |
-
crop_beyond: 20
|
29 |
-
cross_distance_embed_dim: 64
|
30 |
-
cross_max_distance: 80
|
31 |
-
cudnn_benchmark: true
|
32 |
-
dataloader_drop_last: false
|
33 |
-
dataset: generalisation
|
34 |
-
depthwise_convolution: false
|
35 |
-
different_schedules: false
|
36 |
-
distance_embed_dim: 64
|
37 |
-
double_val: true
|
38 |
-
dropout: 0.1
|
39 |
-
dynamic_max_cross: true
|
40 |
-
ema_rate: 0.999
|
41 |
-
embed_also_ligand: true
|
42 |
-
embedding_scale: 1000
|
43 |
-
embedding_type: sinusoidal
|
44 |
-
enforce_timesplit: true
|
45 |
-
esm_embeddings_model: null
|
46 |
-
freeze_params: 0
|
47 |
-
high_confidence_threshold: 5.0
|
48 |
-
include_confidence_prediction: false
|
49 |
-
include_miscellaneous_atoms: false
|
50 |
-
inf_pocket_cutoff: 5
|
51 |
-
inf_pocket_knowledge: false
|
52 |
-
inf_sched_alpha: 1
|
53 |
-
inf_sched_beta: 1
|
54 |
-
inference_earlystop_goal: max
|
55 |
-
inference_earlystop_metric: valinf2_rmsds_lt2
|
56 |
-
inference_samples: 5
|
57 |
-
inference_secondary_metric: valinf_min_rmsds_lt2
|
58 |
-
inference_steps: 20
|
59 |
-
limit_complexes: 0
|
60 |
-
log_dir: workdir
|
61 |
-
lr: 0.001
|
62 |
-
lr_start_factor: 0.001
|
63 |
-
matching_maxiter: 20
|
64 |
-
matching_popsize: 20
|
65 |
-
matching_tries: 1
|
66 |
-
max_lig_size: null
|
67 |
-
max_radius: 5.0
|
68 |
-
max_receptor_size: null
|
69 |
-
merge_clusters: 3
|
70 |
-
min_ligand_size: 2
|
71 |
-
moad_dir: data/BindingMOAD_2020_ab_processed_biounit/
|
72 |
-
moad_esm_embeddings_path: data/BindingMOAD_2020_ab_processed_biounit/moad_sequences_new.pt
|
73 |
-
moad_esm_embeddings_sequences_path: data/BindingMOAD_2020_ab_processed_biounit/sequences_to_id.fasta
|
74 |
-
n_epochs: 1000
|
75 |
-
no_aminoacid_identities: false
|
76 |
-
no_batch_norm: false
|
77 |
-
no_differentiate_convolutions: false
|
78 |
-
no_torsion: false
|
79 |
-
norm_by_sigma: false
|
80 |
-
not_fixed_center_conv: false
|
81 |
-
not_fixed_knn_radius_graph: false
|
82 |
-
not_full_dataset: false
|
83 |
-
not_knn_only_graph: false
|
84 |
-
ns: 48
|
85 |
-
num_conformers: 1
|
86 |
-
num_conv_layers: 11
|
87 |
-
num_dataloader_workers: 1
|
88 |
-
num_inference_complexes: 500
|
89 |
-
num_prot_emb_layers: 3
|
90 |
-
num_workers: 1
|
91 |
-
nv: 10
|
92 |
-
odd_parity: false
|
93 |
-
original_model_ckpt: best_model.pt
|
94 |
-
original_model_dir: workdir
|
95 |
-
pdbbind_dir: data/PDBBind_processed/
|
96 |
-
pdbbind_esm_embeddings_path: data/esm2_3billion_embeddings.pt
|
97 |
-
pdbsidechain_dir: data/pdb_2021aug02
|
98 |
-
pdbsidechain_esm_embeddings_path: data/pdb_2021aug02/pdb_sequences_esm_20k.pt
|
99 |
-
pdbsidechain_esm_embeddings_sequences_path: pdb_2021aug02/sequences_to_id.fasta
|
100 |
-
pin_memory: false
|
101 |
-
pocket_mode_graph: false
|
102 |
-
pretrain_ckpt: null
|
103 |
-
pretrain_dir: null
|
104 |
-
project: gen_train
|
105 |
-
protein_file: protein_processed
|
106 |
-
receptor_radius: 15.0
|
107 |
-
reduce_pseudoscalars: true
|
108 |
-
remove_hs: true
|
109 |
-
remove_promiscuous_targets: null
|
110 |
-
remove_second_segment: false
|
111 |
-
restart_ckpt: last_model
|
112 |
-
restart_dir: null
|
113 |
-
restart_lr: null
|
114 |
-
rot_alpha: 1.0
|
115 |
-
rot_beta: 1.0
|
116 |
-
rot_inf_sched_alpha: 1
|
117 |
-
rot_inf_sched_beta: 1
|
118 |
-
rot_sigma_max: 1.55
|
119 |
-
rot_sigma_min: 0.03
|
120 |
-
rot_sigma_schedule: expbeta
|
121 |
-
rot_weight: 0.33
|
122 |
-
run_name: diffdockL
|
123 |
-
samples_per_complex: 3
|
124 |
-
sampling_alpha: 1.0
|
125 |
-
sampling_beta: 1.0
|
126 |
-
save_model_freq: null
|
127 |
-
scale_by_sigma: true
|
128 |
-
scheduler: plateau
|
129 |
-
scheduler_patience: 30
|
130 |
-
separate_noise_schedule: false
|
131 |
-
sh_lmax: 2
|
132 |
-
sidechain_loss_weight: 0
|
133 |
-
sigma_embed_dim: 64
|
134 |
-
sigma_schedule: expbeta
|
135 |
-
smooth_edges: false
|
136 |
-
split_test: data/splits/timesplit_test
|
137 |
-
split_train: data/splits/timesplit_no_lig_overlap_train
|
138 |
-
split_val: data/splits/timesplit_no_lig_overlap_val
|
139 |
-
test_sigma_intervals: true
|
140 |
-
tor_alpha: 1.0
|
141 |
-
tor_beta: 1.0
|
142 |
-
tor_inf_sched_alpha: 1
|
143 |
-
tor_inf_sched_beta: 1
|
144 |
-
tor_sigma_max: 3.14
|
145 |
-
tor_sigma_min: 0.0314
|
146 |
-
tor_sigma_schedule: expbeta
|
147 |
-
tor_weight: 0.33
|
148 |
-
torsional_data_dir: data/QM9/qm9/
|
149 |
-
torsional_split_path: data/QM9/splits/split0.npy
|
150 |
-
tp_weights_layers: 2
|
151 |
-
tr_only_confidence: true
|
152 |
-
tr_sigma_max: 19.0
|
153 |
-
tr_sigma_min: 0.1
|
154 |
-
tr_weight: 0.33
|
155 |
-
train_inference_freq: null
|
156 |
-
train_multiplicity: 1
|
157 |
-
triple_training: true
|
158 |
-
unroll_clusters: true
|
159 |
-
use_ema: true
|
160 |
-
use_full_size_protein_file: false
|
161 |
-
use_old_atom_encoder: false
|
162 |
-
use_old_wrong_embedding_order: false
|
163 |
-
use_second_order_repr: false
|
164 |
-
val_inference_freq: 5
|
165 |
-
val_multiplicity: 1
|
166 |
-
vandermers_buffer_residue_num: 10
|
167 |
-
vandermers_max_dist: 5
|
168 |
-
vandermers_min_contacts: 5
|
169 |
-
w_decay: 0.0
|
170 |
-
wandb: true
|
171 |
-
warmup_dur: 4
|
|
|
1 |
+
add_bootstrapping_dataset: false
|
2 |
+
all_atoms: false
|
3 |
+
asyncronous_noise_schedule: false
|
4 |
+
atom_max_neighbors: 8
|
5 |
+
atom_radius: 5
|
6 |
+
backbone_loss_weight: 0
|
7 |
+
batch_size: 12
|
8 |
+
bootstrap_alpha: 1
|
9 |
+
bootstrap_beta: 1
|
10 |
+
bootstrap_tmin: 0
|
11 |
+
bootstrapping_dataset_confidence_cutoff: 0
|
12 |
+
bootstrapping_dataset_iterations: 1
|
13 |
+
bootstrapping_dataset_max_per_complex: 1000
|
14 |
+
bootstrapping_fixed_length: null
|
15 |
+
bootstrapping_temperature: 0
|
16 |
+
c_alpha_max_neighbors: 24
|
17 |
+
cache_creation_id: null
|
18 |
+
cache_ids_to_combine: null
|
19 |
+
cache_path: cache
|
20 |
+
chain_cutoff: 10.0
|
21 |
+
combined_training: true
|
22 |
+
confidence_dropout: 0.0
|
23 |
+
confidence_model_ckpt: best_model.pt
|
24 |
+
confidence_model_dir: workdir/masked_confidence_model
|
25 |
+
confidence_no_batchnorm: false
|
26 |
+
confidence_weight: 0.33
|
27 |
+
config: null
|
28 |
+
crop_beyond: 20
|
29 |
+
cross_distance_embed_dim: 64
|
30 |
+
cross_max_distance: 80
|
31 |
+
cudnn_benchmark: true
|
32 |
+
dataloader_drop_last: false
|
33 |
+
dataset: generalisation
|
34 |
+
depthwise_convolution: false
|
35 |
+
different_schedules: false
|
36 |
+
distance_embed_dim: 64
|
37 |
+
double_val: true
|
38 |
+
dropout: 0.1
|
39 |
+
dynamic_max_cross: true
|
40 |
+
ema_rate: 0.999
|
41 |
+
embed_also_ligand: true
|
42 |
+
embedding_scale: 1000
|
43 |
+
embedding_type: sinusoidal
|
44 |
+
enforce_timesplit: true
|
45 |
+
esm_embeddings_model: null
|
46 |
+
freeze_params: 0
|
47 |
+
high_confidence_threshold: 5.0
|
48 |
+
include_confidence_prediction: false
|
49 |
+
include_miscellaneous_atoms: false
|
50 |
+
inf_pocket_cutoff: 5
|
51 |
+
inf_pocket_knowledge: false
|
52 |
+
inf_sched_alpha: 1
|
53 |
+
inf_sched_beta: 1
|
54 |
+
inference_earlystop_goal: max
|
55 |
+
inference_earlystop_metric: valinf2_rmsds_lt2
|
56 |
+
inference_samples: 5
|
57 |
+
inference_secondary_metric: valinf_min_rmsds_lt2
|
58 |
+
inference_steps: 20
|
59 |
+
limit_complexes: 0
|
60 |
+
log_dir: workdir
|
61 |
+
lr: 0.001
|
62 |
+
lr_start_factor: 0.001
|
63 |
+
matching_maxiter: 20
|
64 |
+
matching_popsize: 20
|
65 |
+
matching_tries: 1
|
66 |
+
max_lig_size: null
|
67 |
+
max_radius: 5.0
|
68 |
+
max_receptor_size: null
|
69 |
+
merge_clusters: 3
|
70 |
+
min_ligand_size: 2
|
71 |
+
moad_dir: data/BindingMOAD_2020_ab_processed_biounit/
|
72 |
+
moad_esm_embeddings_path: data/BindingMOAD_2020_ab_processed_biounit/moad_sequences_new.pt
|
73 |
+
moad_esm_embeddings_sequences_path: data/BindingMOAD_2020_ab_processed_biounit/sequences_to_id.fasta
|
74 |
+
n_epochs: 1000
|
75 |
+
no_aminoacid_identities: false
|
76 |
+
no_batch_norm: false
|
77 |
+
no_differentiate_convolutions: false
|
78 |
+
no_torsion: false
|
79 |
+
norm_by_sigma: false
|
80 |
+
not_fixed_center_conv: false
|
81 |
+
not_fixed_knn_radius_graph: false
|
82 |
+
not_full_dataset: false
|
83 |
+
not_knn_only_graph: false
|
84 |
+
ns: 48
|
85 |
+
num_conformers: 1
|
86 |
+
num_conv_layers: 11
|
87 |
+
num_dataloader_workers: 1
|
88 |
+
num_inference_complexes: 500
|
89 |
+
num_prot_emb_layers: 3
|
90 |
+
num_workers: 1
|
91 |
+
nv: 10
|
92 |
+
odd_parity: false
|
93 |
+
original_model_ckpt: best_model.pt
|
94 |
+
original_model_dir: workdir
|
95 |
+
pdbbind_dir: data/PDBBind_processed/
|
96 |
+
pdbbind_esm_embeddings_path: data/esm2_3billion_embeddings.pt
|
97 |
+
pdbsidechain_dir: data/pdb_2021aug02
|
98 |
+
pdbsidechain_esm_embeddings_path: data/pdb_2021aug02/pdb_sequences_esm_20k.pt
|
99 |
+
pdbsidechain_esm_embeddings_sequences_path: pdb_2021aug02/sequences_to_id.fasta
|
100 |
+
pin_memory: false
|
101 |
+
pocket_mode_graph: false
|
102 |
+
pretrain_ckpt: null
|
103 |
+
pretrain_dir: null
|
104 |
+
project: gen_train
|
105 |
+
protein_file: protein_processed
|
106 |
+
receptor_radius: 15.0
|
107 |
+
reduce_pseudoscalars: true
|
108 |
+
remove_hs: true
|
109 |
+
remove_promiscuous_targets: null
|
110 |
+
remove_second_segment: false
|
111 |
+
restart_ckpt: last_model
|
112 |
+
restart_dir: null
|
113 |
+
restart_lr: null
|
114 |
+
rot_alpha: 1.0
|
115 |
+
rot_beta: 1.0
|
116 |
+
rot_inf_sched_alpha: 1
|
117 |
+
rot_inf_sched_beta: 1
|
118 |
+
rot_sigma_max: 1.55
|
119 |
+
rot_sigma_min: 0.03
|
120 |
+
rot_sigma_schedule: expbeta
|
121 |
+
rot_weight: 0.33
|
122 |
+
run_name: diffdockL
|
123 |
+
samples_per_complex: 3
|
124 |
+
sampling_alpha: 1.0
|
125 |
+
sampling_beta: 1.0
|
126 |
+
save_model_freq: null
|
127 |
+
scale_by_sigma: true
|
128 |
+
scheduler: plateau
|
129 |
+
scheduler_patience: 30
|
130 |
+
separate_noise_schedule: false
|
131 |
+
sh_lmax: 2
|
132 |
+
sidechain_loss_weight: 0
|
133 |
+
sigma_embed_dim: 64
|
134 |
+
sigma_schedule: expbeta
|
135 |
+
smooth_edges: false
|
136 |
+
split_test: data/splits/timesplit_test
|
137 |
+
split_train: data/splits/timesplit_no_lig_overlap_train
|
138 |
+
split_val: data/splits/timesplit_no_lig_overlap_val
|
139 |
+
test_sigma_intervals: true
|
140 |
+
tor_alpha: 1.0
|
141 |
+
tor_beta: 1.0
|
142 |
+
tor_inf_sched_alpha: 1
|
143 |
+
tor_inf_sched_beta: 1
|
144 |
+
tor_sigma_max: 3.14
|
145 |
+
tor_sigma_min: 0.0314
|
146 |
+
tor_sigma_schedule: expbeta
|
147 |
+
tor_weight: 0.33
|
148 |
+
torsional_data_dir: data/QM9/qm9/
|
149 |
+
torsional_split_path: data/QM9/splits/split0.npy
|
150 |
+
tp_weights_layers: 2
|
151 |
+
tr_only_confidence: true
|
152 |
+
tr_sigma_max: 19.0
|
153 |
+
tr_sigma_min: 0.1
|
154 |
+
tr_weight: 0.33
|
155 |
+
train_inference_freq: null
|
156 |
+
train_multiplicity: 1
|
157 |
+
triple_training: true
|
158 |
+
unroll_clusters: true
|
159 |
+
use_ema: true
|
160 |
+
use_full_size_protein_file: false
|
161 |
+
use_old_atom_encoder: false
|
162 |
+
use_old_wrong_embedding_order: false
|
163 |
+
use_second_order_repr: false
|
164 |
+
val_inference_freq: 5
|
165 |
+
val_multiplicity: 1
|
166 |
+
vandermers_buffer_residue_num: 10
|
167 |
+
vandermers_max_dist: 5
|
168 |
+
vandermers_min_contacts: 5
|
169 |
+
w_decay: 0.0
|
170 |
+
wandb: true
|
171 |
+
warmup_dur: 4
|
results/job_db.json
ADDED
File without changes
|