-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathCITATION.cff
More file actions
51 lines (50 loc) · 1.59 KB
/
Copy pathCITATION.cff
File metadata and controls
51 lines (50 loc) · 1.59 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
cff-version: 1.2.0
message: "If you use PocketDock in your research, please cite it as below."
title: "PocketDock: Automated Molecular Docking Pipeline"
doi: 10.5281/zenodo.20316456
abstract: >-
A web-based molecular docking platform that predicts druggable binding pockets
with P2Rank, docks ligands with AutoDock Vina, and ranks results using a
combined score of pocket probability and binding affinity. PocketDock supports
batch ligand screening, ensemble receptor docking via normal-mode analysis or
short OpenMM molecular-dynamics simulations, ADMET property prediction with
RDKit, geometric protein–ligand interaction analysis, optional OpenMM pose
refinement, and approximate MM-GBSA rescoring. Results are presented through
interactive 3Dmol.js visualization and a REST API. The asynchronous pipeline
is built on Django, Celery, and Redis.
type: software
authors:
- given-names: Gökhan
family-names: ÖZSARI
email: gokhan.ozsari@chalmers.se
affiliation: Chalmers University of Technology
repository-code: "https://github.com/gozsari/PocketDock"
url: "https://pocketdock.readthedocs.io/"
version: "1.0.0"
date-released: "2026-05-20"
license: MIT
identifiers:
- type: doi
value: 10.5281/zenodo.20316456
description: Concept DOI (all versions)
keywords:
- molecular-docking
- autodock-vina
- p2rank
- bioinformatics
- drug-discovery
- django
- cheminformatics
- virtual-screening
- binding-pocket-prediction
- ensemble-docking
- admet
- mm-gbsa
- openmm
- 3dmol
- rdkit
- interaction-analysis
- batch-docking
- rest-api
- celery
- docker