-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathCITATION.cff
More file actions
36 lines (36 loc) · 1.38 KB
/
Copy pathCITATION.cff
File metadata and controls
36 lines (36 loc) · 1.38 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
# Citation metadata — visible as the "Cite this repository" button on GitHub
cff-version: 1.2.0
title: "MolForge: a single-file browser-based chemical data platform"
message: "If you use MolForge in academic work, please cite it using the metadata below."
type: software
authors:
- family-names: "Wang"
given-names: "Lucia"
email: "lucia.wang.chem@gmail.com"
# orcid: "https://orcid.org/0000-0000-0000-0000" # fill in after ORCID registration
repository-code: "https://github.com/lwang68/molforge"
url: "https://lwang68.github.io/molforge/"
version: "1.0.0"
date-released: "2026-04-22"
license: AGPL-3.0-or-later
keywords:
- cheminformatics
- medicinal-chemistry
- SAR
- ADME
- MPO
- kinase-selectivity
- QSAR
- RDKit
- OpenChemLib
- drug-discovery
abstract: >
MolForge is a single-file, browser-based chemical data platform for
medicinal chemistry. It provides compound management, structure editing,
SAR analysis (scaffold & R-group decomposition, MMPA, activity landscape,
chemical space), ADME prediction (25 endpoints), MPO scoring, kinase
selectivity analysis with panel upload persistence, and AI/ML tools
(AutoQSAR, bioisostere replacement, analog generation) — all running
entirely client-side with no installation, no server, and no account.
Compound data is embedded directly in the HTML file, making databases
portable via email or file sharing.