Задание 1
Скачивание ПО.
!pip install nglview --user
/usr/lib/python3/dist-packages/secretstorage/dhcrypto.py:15: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead
from cryptography.utils import int_from_bytes
/usr/lib/python3/dist-packages/secretstorage/util.py:19: CryptographyDeprecationWarning: int_from_bytes is deprecated, use int.from_bytes instead
from cryptography.utils import int_from_bytes
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WARNING: You are using pip version 21.0.1; however, version 22.0.3 is available.
You should consider upgrading via the '/usr/bin/python3 -m pip install --upgrade pip' command.
Импорт модулей.
import nglview as nv
import requests
import json
Создание заготовки.
my_query = {
"query": {
"type": "group",
"logical_operator": "and",
"nodes": []
},
"return_type": "entry"
}
Задаём искомое вещество и место, где искать (заголовок).
keyword_clause = {
"type": "terminal",
"service": "text",
"parameters": {
"value": "ampicillin",
"attribute": "struct.title",
"operator": "contains_words"
}
}
my_query["query"]["nodes"].append(keyword_clause)
Задаём разрешение (не более 2,7 ангстрем)
resolution_clause = {
"type": "terminal",
"service": "text",
"parameters": {
"value": 2.7,
"attribute": "rcsb_entry_info.resolution_combined",
"operator": "less_or_equal"
}
}
my_query["query"]["nodes"].append(resolution_clause)
Задаём число лигандов (не менее 2, то есть более 1)
has_ligand_clause = {
"type": "terminal",
"service": "text",
"parameters": {
"attribute": "rcsb_entry_info.nonpolymer_entity_count",
"value": 1,
"operator": "greater"
}
}
my_query["query"]["nodes"].append(has_ligand_clause)
Задаём искомые даты.
date_range_clause = {
"type": "terminal",
"service": "text",
"parameters": {
"attribute": "rcsb_accession_info.initial_release_date",
"value": {
"from": "2000-01-01",
"to": "2005-01-01",
},
"operator": "range"
}
}
my_query["query"]["nodes"].append(date_range_clause)
Создаём json-строку и отсылаем запрос.
rcsb = 'https://search.rcsb.org/rcsbsearch/v1/query'
json_query = json.dumps(my_query)
search = requests.post(f'{rcsb}', data=json_query)
search
<Response [200]>
Переводим результат в словарь.
search_result = search.json()
search_result
{'query_id': '6957f80d-eccb-4b9b-ae7f-61533ffc16eb', 'result_type': 'entry', 'total_count': 5, 'result_set': [{'identifier': '1UNB', 'score': 1.0, 'services': [{'service_type': 'text', 'nodes': [{'node_id': 9588, 'original_score': 194.04849243164062, 'norm_score': 1.0}]}]}, {'identifier': '1NX9', 'score': 0.5130061954191562, 'services': [{'service_type': 'text', 'nodes': [{'node_id': 9588, 'original_score': 174.515869140625, 'norm_score': 0.5130061954191562}]}]}, {'identifier': '1H8S', 'score': 0.24013573997880966, 'services': [{'service_type': 'text', 'nodes': [{'node_id': 9588, 'original_score': 163.57142639160156, 'norm_score': 0.24013573997880966}]}]}, {'identifier': '1H8N', 'score': 0.0, 'services': [{'service_type': 'text', 'nodes': [{'node_id': 9588, 'original_score': 153.93992614746094, 'norm_score': 0.0}]}]}, {'identifier': '1W2N', 'score': 0.0, 'services': [{'service_type': 'text', 'nodes': [{'node_id': 9588, 'original_score': 153.93992614746094, 'norm_score': 0.0}]}]}]}
Отбираем "лучший" результат.
best_hit = search_result["result_set"][0]
best_hit
{'identifier': '1UNB', 'score': 1.0, 'services': [{'service_type': 'text', 'nodes': [{'node_id': 9588, 'original_score': 194.04849243164062, 'norm_score': 1.0}]}]}
Задание 2
Белок, найденный по заданным параметрам - деацетоксицефалоспорин-С-синтаза, фермент превращающий пенициллины в цефалоспорины (ОВР с участием иона железа(II), меняющего в ходе реакции свою степень окисления) путём встраивания атома углерода в пенициллиновое ядро. Параллельно происходит окисление 2-оксоглутарата до сукцината с выделением молекулы углекислого газа. Ампициллин, который мы указали как искомую "малую молекулу", относится к пенициллинам и тоже может быть связан в качестве субстрата деацетоксицефалоспорин-С-синтазой.
Задание 3
Просматриваем результат.
view = nv.show_pdbid('1UNB')
view
from ipywidgets import interact, fixed
my_examples = {
'Example 1': {
'description': '''
Вариант 4.
Белок в виде cartoon, покраска по типу вторичной структуры
Боковые радикалы покрашены по элементу, показаны линиями
Боковые радикалы ароматических аминокислот показаны в стержневой модели
Лиганды показаны в виде Ван-дер-Ваальсовых сфер, покрашены по гидрофобности
''',
'representations': [
{
'type': 'cartoon',
'params': {
'sele': 'protein',
'color': 'sstruc'
}
},
{
'type': 'backbone',
'params': {
'sele': 'sidestrainAttached',
'color': 'element',
}
},
{
'type': 'spacefill',
'params': {
'sele': 'ligand',
'color': 'hydrophobicity',
}
},
{
'type': 'licorice',
'params': {
'sele': 'sidestrainAttached' and 'aromatic',
}
},
],
},
'Example 2': {
'description': '''
Вариант 9.
Остов белка в шаростержневой модели, покрашен по элементам
Боковые радикалы в стержневой модели, покрашены по элементам
Углероды остатков с 30 по 70-й покрашены в светло-голубой
Лиганды показаны в виде линий, покрашены в любой оттенок оранжевого
''',
'representations': [
{
'type': 'ball+stick',
'params': {
'sele': 'protein',
'color': 'element'
}
},
{
'type': 'ball+stick',
'params': {
'sele': 'protein and :A and 30-70 and _C',
'color': 'lightblue'
}
},
{
'type': 'licorice',
'params': {
'sele': 'sidechainAttached',
'color': 'element'
}
},
{
'type': 'line',
'params': {
'sele': 'ligand',
'color': 'orange'
}
},
],
},
'Example 3': {
'description': '''
Вариант 7.
Белок в виде ribbon, покрашенной градиентом от N к C концу
Боковые радикалы в стержневой модели, покрашенные по элементам
Углероды гидрофобных аминокислот покрашены в светло-желтый
Углероды полярных заряженных аминокислот покрашены в светло-голубой
Лиганды не показаны никак
''',
'representations': [
{
'type': 'ribbon',
'params': {
'sele': 'protein',
'color': 'residueindex'
}
},
{
'type': 'licorice',
'params': {
'sele': 'sidechainAttached',
'color': 'element'
}
},
{
'type': 'licorice',
'params': {
'sele': 'sidechainAttached and hydrophobic and _C',
'color': '#FFFACD'
}
},
{
'type': 'liocorice',
'params': {
'sele': 'sidechainAttached and polar and charged and _C',
'color': 'LightBlue'
}
},
],
},
}
def show_examples(view, example_name):
view.clear()
example = my_examples[example_name]
print(example['description'])
view.set_representations(example['representations'])
view.center()
view = nv.show_pdbid("1UNB", default_representation=False)
interact(show_examples, view=fixed(view), example_name=list(my_examples.keys()))
view
view = nv.show_pdbid("1UNB", default_representation=False)
interact(show_examples, view=fixed(view), example_name=list(my_examples.keys()))
view
view = nv.show_pdbid("1UNB", default_representation=False)
interact(show_examples, view=fixed(view), example_name=list(my_examples.keys()))
view