OpenADMET - ExpansionRx Blind Challenge

OpenADMET

02 Dec 2025 — 14 min read

Intermediate leaderboard release

Absorption, Distribution, Metabolism, Excretion, and Toxicity (ADMET) properties can make or break the preclinical and clinical development of small molecules. At OpenADMET we address the unpredictable nature of these properties through open science, generating experimental data and building predictive models of ADMET properties. A key component of these efforts is running community blind challenges to benchmark the current state of the art in ADMET modeling.

On October 27, we launched the ExpansionRx-OpenADMET blind challenge in partnership with Expansion Therapeutics and HuggingFace. Participants are tasked with predicting a total of nine crucial AMDET endpoints collected from a real-world drug discovery campaign targeting RNA-mediated diseases, including Myotonic Dystrophy, ALS, and Dementia.

We are thrilled with the community engagement so far—with over 100 submissions already! Teams are able to participate anonymously under an alias. We encourage groups across industry, academia, and non-profits to submit models before the challenge closes on January 19, 2026.

More details on the structure of the challenge, how to participate, and the dataset and evaluation criteria can be found in our previous blog post. There is also a lively discord to discuss the challenge that we encourage you to join.

The Leaderboard

As previously announced, the live leaderboard in our Hugging Face space reflects submissions evaluated on a fraction of the total blinded test set (the evaluation split). Below, we present the intermediate leaderboard, which shows performance against the entire blinded test set. This leaderboard provides a snapshot of how teams are currently performing in our blind challenge. Due to evaluation on a different dataset, performance may vary with respect to the current leaderboard on the Hugging Face space.

We have evaluated participants based on macro-averaged relative absolute error (MA-RAE). Relative absolute error (RAE) normalizes the MAE to the dynamic range of the test data, making the RAE comparable between endpoints.

To assess whether the difference between submissions is statistically significant, we have included a Compact Letter Display (CLD) in the table below. The CLD summarizes the results of the Tukey HSD (Honestly Significant Difference) test, which compares every possible pair of group means from bootstrapped samples.

The Tukey HSD test is used to identify precisely which groups differ from one another after an ANOVA finds a general difference. The CLD translates these complex pairwise findings into a simple code:

Same Letter - Groups that share a letter (e.g., "a" and "ab") are not statistically different according to the Tukey test.

Different Letters - Groups that share no common letters (e.g., "a" vs. "b") are significantly different.

Important Notes About This Release

Overall leaderboard only:
We are only releasing results for the overall leaderboard for this intermediate checkpoint. While we know some participants are selectively entering only some of the endpoints, we have chosen just to show the overall leaderboard for simplicity. For the final leaderboard we will do a deeper dive into each endpoint.
Invalid Hugging Face usernames:
Submissions made using invalid Hugging Face usernames (a requirement stated from the start and reiterated in the “Submit” tab) have been removed. If your submission is missing, please resubmit using a valid username before the challenge closes. Please contact the organisers via Discord or email if you think your submission should appear and is not present.
Duplicate submissions:
Duplicate entries from the same username were removed, keeping only the most recent submission.
Required model reports:
All submissions to the final leaderboard must include a valid link to a report or GitHub repository providing a general description of the model used. We are not requesting open code, but a high-level overview is essential for challenge transparency and for advancing community benchmarking, which is a core goal of this challenge and the OpenADMET organization. We have provided a template outlining the required information to participate in the challenge.

This requirement will be enforced for the final leaderboard: if a valid link is not provided by the submission deadline, participation will not be recorded on the final leaderboard.

Rank	user	CLD	MAE-RAE	R2	Spearman R	Kendall's Tau	model details
1	pebble	a	0.5593 ± 0.0079	0.5839 ± 0.0120	0.7831 ± 0.0064	0.6079 ± 0.0060	Not submitted
2	overfit	a	0.5622 ± 0.0072	0.6033 ± 0.0103	0.7731 ± 0.0060	0.5906 ± 0.0057	Invalid link
3	UncertainTea	b	0.6015 ± 0.0073	0.5405 ± 0.0110	0.7375 ± 0.0069	0.5622 ± 0.0063	Not submitted
4	shum	b,c	0.6054 ± 0.0076	0.5033 ± 0.0129	0.7453 ± 0.0068	0.5696 ± 0.0062	Not submitted
5	bl	c,d	0.6081 ± 0.0075	0.5297 ± 0.0109	0.7480 ± 0.0065	0.5699 ± 0.0059	Not submitted
6	moka	c,d	0.6088 ± 0.0075	0.5376 ± 0.0110	0.7502 ± 0.0069	0.5743 ± 0.0062	Not submitted
7	rced_nvx	d,e	0.6127 ± 0.0077	0.5129 ± 0.0117	0.7195 ± 0.0075	0.5465 ± 0.0067	Invalid link
8	polonium	e	0.6142 ± 0.0081	0.4497 ± 0.0151	0.7082 ± 0.0076	0.5456 ± 0.0065	Not submitted
9	Artichoke	e,f	0.6173 ± 0.0079	0.5141 ± 0.0115	0.7259 ± 0.0069	0.5515 ± 0.0062	Not submitted
10	campfire-capillary	f,g	0.6201 ± 0.0075	0.4989 ± 0.0112	0.7107 ± 0.0066	0.5361 ± 0.0060	Not submitted
11	chiliflake	f,g	0.6206 ± 0.0077	0.5136 ± 0.0113	0.7345 ± 0.0064	0.5568 ± 0.0059	Not submitted
12	GNN_base	g	0.6246 ± 0.0074	0.4939 ± 0.0114	0.7325 ± 0.0070	0.5574 ± 0.0063	Not submitted
13	just-another-model	h	0.6380 ± 0.0087	0.4042 ± 0.0175	0.6985 ± 0.0080	0.5344 ± 0.0068	Not submitted
14	mechaman	h	0.6390 ± 0.0081	0.4465 ± 0.0134	0.6989 ± 0.0077	0.5259 ± 0.0066	Not submitted
15	trial	h	0.6390 ± 0.0081	0.4465 ± 0.0134	0.6989 ± 0.0077	0.5259 ± 0.0066	Not submitted
16	rappleton	i	0.6455 ± 0.0077	0.4848 ± 0.0112	0.7234 ± 0.0072	0.5491 ± 0.0064	link
17	ADMuppET	i	0.6459 ± 0.0080	0.4754 ± 0.0116	0.7252 ± 0.0069	0.5484 ± 0.0062	Not submitted
18	xiangyan93	i	0.6459 ± 0.0084	0.4879 ± 0.0122	0.7262 ± 0.0070	0.5495 ± 0.0063	Not submitted
19	Mlzzzzz	j	0.6525 ± 0.0079	0.4432 ± 0.0124	0.6762 ± 0.0074	0.5042 ± 0.0064	Not submitted
20	Universal0	k	0.6590 ± 0.0080	0.4603 ± 0.0118	0.7010 ± 0.0078	0.5231 ± 0.0068	Invalid link
21	neeravkaushal	k	0.6603 ± 0.0084	0.4584 ± 0.0131	0.7061 ± 0.0072	0.5262 ± 0.0064	Not submitted
22	dodo_fX	l	0.6657 ± 0.0075	0.4672 ± 0.0111	0.7073 ± 0.0071	0.5279 ± 0.0063	Not submitted
23	jeremy	l,m	0.6693 ± 0.0086	0.4213 ± 0.0139	0.6534 ± 0.0079	0.4874 ± 0.0067	link
24	test	m,n	0.6712 ± 0.0085	0.4434 ± 0.0129	0.7165 ± 0.0076	0.5418 ± 0.0067	Not submitted
25	JacksonBurns	n	0.6749 ± 0.0085	0.4273 ± 0.0130	0.6837 ± 0.0077	0.5092 ± 0.0066	link
26	KagakuData	o	0.6815 ± 0.0080	0.4370 ± 0.0121	0.6799 ± 0.0080	0.5052 ± 0.0071	link
27	b-sharp	o,p	0.6839 ± 0.0078	0.4074 ± 0.0121	0.6805 ± 0.0073	0.5109 ± 0.0063	Not submitted
28	kaushal-mind-lab	o,p	0.6850 ± 0.0081	0.4048 ± 0.0129	0.7008 ± 0.0070	0.5248 ± 0.0062	Not submitted
29	pedal	p,q	0.6874 ± 0.0086	0.4285 ± 0.0125	0.6842 ± 0.0080	0.5082 ± 0.0068	Not submitted
30	shrika-jeannie	q,r	0.6903 ± 0.0084	0.4258 ± 0.0121	0.6871 ± 0.0075	0.5110 ± 0.0064	Not submitted
31	vfirstevaluation	r,s	0.6924 ± 0.0083	0.4075 ± 0.0132	0.6742 ± 0.0078	0.5004 ± 0.0068	Not submitted
32	WakuwakuADMET	r,s	0.6949 ± 0.0091	0.3974 ± 0.0145	0.6726 ± 0.0090	0.5021 ± 0.0074	Not submitted
33	rez3vil	s	0.6963 ± 0.0085	0.4110 ± 0.0129	0.6536 ± 0.0084	0.4838 ± 0.0073	Not submitted
34	aglisman	s	0.6967 ± 0.0076	0.4271 ± 0.0111	0.7121 ± 0.0072	0.5335 ± 0.0063	Invalid link
35	mmahmedHF	t	0.7028 ± 0.0071	0.4280 ± 0.0111	0.7083 ± 0.0075	0.5303 ± 0.0065	Not submitted
36	Gashaw	t	0.7037 ± 0.0088	0.3935 ± 0.0142	0.6566 ± 0.0091	0.4875 ± 0.0075	Not submitted
37	shin-chan	t	0.7043 ± 0.0092	0.4186 ± 0.0142	0.7376 ± 0.0062	0.5573 ± 0.0058	Not submitted
38	bariorbolrin	u	0.7116 ± 0.0084	0.3750 ± 0.0137	0.6348 ± 0.0090	0.4676 ± 0.0075	Not submitted
39	jmi25	u	0.7150 ± 0.0090	0.3811 ± 0.0154	0.6362 ± 0.0091	0.4675 ± 0.0074	Not submitted
40	Roquentin99	u	0.7158 ± 0.0078	0.3678 ± 0.0127	0.6486 ± 0.0077	0.4774 ± 0.0065	Not submitted
41	icedchai	u	0.7160 ± 0.0089	0.3845 ± 0.0133	0.6672 ± 0.0076	0.4939 ± 0.0064	Not submitted
42	VVDCompChem	u	0.7164 ± 0.0091	0.3476 ± 0.0153	0.6636 ± 0.0077	0.4939 ± 0.0066	Not submitted
43	molairity	v	0.7266 ± 0.0085	0.3705 ± 0.0128	0.6445 ± 0.0081	0.4744 ± 0.0067	Not submitted
44	ChemTechBaron	v,w	0.7275 ± 0.0083	0.3531 ± 0.0132	0.6232 ± 0.0093	0.4546 ± 0.0076	Not submitted
45	Fa987123	v,w,x	0.7297 ± 0.0092	0.3489 ± 0.0145	0.6576 ± 0.0081	0.4858 ± 0.0070	Not submitted
46	fiesta_xxl	w,x	0.7320 ± 0.0080	0.3693 ± 0.0122	0.6260 ± 0.0083	0.4560 ± 0.0070	Not submitted
47	snowflake	x,y	0.7338 ± 0.0088	0.3644 ± 0.0141	0.6525 ± 0.0082	0.4803 ± 0.0070	Not submitted
48	jonswain	x,y	0.7341 ± 0.0086	0.3352 ± 0.0140	0.6119 ± 0.0089	0.4489 ± 0.0072	link
49	ch-pmlm	y,z	0.7385 ± 0.0093	0.3654 ± 0.0136	0.6719 ± 0.0079	0.4915 ± 0.0068	Not submitted
50	my-alaska	A,z	0.7408 ± 0.0082	0.3761 ± 0.0118	0.6267 ± 0.0083	0.4574 ± 0.0071	Not submitted
51	baseline_v7	A,z	0.7431 ± 0.0081	0.3601 ± 0.0137	0.6167 ± 0.0090	0.4499 ± 0.0074	Not submitted
52	skibidi_molecules	A,B	0.7444 ± 0.0088	0.3230 ± 0.0146	0.6077 ± 0.0094	0.4432 ± 0.0075	Not submitted
53	spellbound	A,B,C	0.7447 ± 0.0093	0.3449 ± 0.0153	0.6426 ± 0.0083	0.4716 ± 0.0070	Not submitted
54	ebl88	B,C,D	0.7491 ± 0.0105	0.3403 ± 0.0167	0.7278 ± 0.0067	0.5468 ± 0.0060	Not submitted
55	zpk	C,D	0.7495 ± 0.0078	0.3289 ± 0.0128	0.6106 ± 0.0088	0.4430 ± 0.0071	Not submitted
56	leeherman	D	0.7539 ± 0.0090	0.2903 ± 0.0147	0.6184 ± 0.0086	0.4509 ± 0.0072	Not submitted
57	pkzheng	E	0.7594 ± 0.0082	0.3087 ± 0.0139	0.6068 ± 0.0089	0.4400 ± 0.0072	Not submitted
58	all the assays	E,F	0.7625 ± 0.0070	0.3216 ± 0.0119	0.6442 ± 0.0084	0.4718 ± 0.0069	Not submitted
59	cc54	E,F	0.7633 ± 0.0098	0.2388 ± 0.0192	0.6152 ± 0.0093	0.4559 ± 0.0074	Not submitted
60	whitead	E,F,G	0.7639 ± 0.0083	0.3029 ± 0.0136	0.6129 ± 0.0087	0.4452 ± 0.0071	Not submitted
61	speller	F,G,H	0.7647 ± 0.0090	0.3244 ± 0.0144	0.6296 ± 0.0086	0.4601 ± 0.0071	Not submitted
62	irriok	G,H,I	0.7685 ± 0.0093	0.2350 ± 0.0179	0.6153 ± 0.0085	0.4563 ± 0.0069	Not submitted
63	Mart78	H,I	0.7692 ± 0.0090	0.2546 ± 0.0153	0.5915 ± 0.0090	0.4300 ± 0.0074	Not submitted
64	Cuiyaning	H,I	0.7694 ± 0.0085	0.2587 ± 0.0145	0.6358 ± 0.0086	0.4616 ± 0.0068	Not submitted
65	Jastok	I,J	0.7699 ± 0.0075	0.3074 ± 0.0118	0.6124 ± 0.0084	0.4465 ± 0.0071	Not submitted
66	femisegvn	I,J,K	0.7709 ± 0.0089	0.3262 ± 0.0131	0.6266 ± 0.0084	0.4556 ± 0.0070	Not submitted
67	Team AIDD	I,J,K,L	0.7727 ± 0.0095	0.2869 ± 0.0163	0.6067 ± 0.0092	0.4425 ± 0.0075	Not submitted
68	ridge_regression	I,J,K,L,M	0.7734 ± 0.0091	0.3260 ± 0.0133	0.6146 ± 0.0085	0.4454 ± 0.0071	Not submitted
69	EGabrielle	J,K,L,M	0.7749 ± 0.0090	0.3192 ± 0.0135	0.6076 ± 0.0088	0.4416 ± 0.0073	Not submitted
70	Suryavedha	K,L,M	0.7753 ± 0.0073	0.3110 ± 0.0119	0.6133 ± 0.0085	0.4460 ± 0.0071	Not submitted
71	caithmac	L,M	0.7765 ± 0.0089	0.3186 ± 0.0133	0.6191 ± 0.0088	0.4506 ± 0.0074	Not submitted
72	diliadis	M,N	0.7780 ± 0.0091	0.2616 ± 0.0161	0.6042 ± 0.0092	0.4343 ± 0.0073	Not submitted
73	eightmm	M,N	0.7782 ± 0.0092	0.2517 ± 0.0156	0.6369 ± 0.0079	0.4671 ± 0.0067	Not submitted
74	TERRA	N	0.7822 ± 0.0089	0.2842 ± 0.0145	0.6004 ± 0.0094	0.4369 ± 0.0075	Not submitted
75	mordred	O	0.7893 ± 0.0093	0.2895 ± 0.0149	0.6205 ± 0.0087	0.4517 ± 0.0072	Not submitted
76	malteny	P	0.7967 ± 0.0090	0.1675 ± 0.0173	0.5807 ± 0.0080	0.4289 ± 0.0067	Not submitted
77	roshkjr	P	0.7968 ± 0.0098	0.2344 ± 0.0154	0.5906 ± 0.0087	0.4306 ± 0.0071	Not submitted
78	qstn1	P,Q	0.7993 ± 0.0106	0.2024 ± 0.0200	0.6174 ± 0.0098	0.4531 ± 0.0077	Not submitted
79	tiuel	Q,R	0.8019 ± 0.0096	0.2785 ± 0.0148	0.5904 ± 0.0090	0.4281 ± 0.0074	Not submitted
80	srkarra	Q,R,S	0.8031 ± 0.0093	0.2769 ± 0.0141	0.5860 ± 0.0089	0.4243 ± 0.0073	Not submitted
81	OneShot	Q,R,S	0.8033 ± 0.0102	0.2025 ± 0.0177	0.5811 ± 0.0096	0.4236 ± 0.0077	Not submitted
82	MolecularDescriptor	Q,R,S	0.8035 ± 0.0093	0.2583 ± 0.0147	0.6001 ± 0.0089	0.4380 ± 0.0073	Not submitted
83	hectavalent	R,S,T	0.8068 ± 0.0083	0.2453 ± 0.0140	0.5285 ± 0.0103	0.3820 ± 0.0079	Not submitted
84	hmacdope	S,T	0.8072 ± 0.0094	0.2675 ± 0.0146	0.5842 ± 0.0091	0.4238 ± 0.0075	Not submitted
85	simple rf baseline	T,U	0.8102 ± 0.0087	0.2682 ± 0.0130	0.5866 ± 0.0089	0.4223 ± 0.0073	Not submitted
86	SimuRaiden	T,U,V	0.8106 ± 0.0091	0.2421 ± 0.0139	0.5851 ± 0.0089	0.4239 ± 0.0073	Not submitted
87	shedit-OpenADMET	T,U,V	0.8116 ± 0.0101	0.2424 ± 0.0160	0.5773 ± 0.0090	0.4150 ± 0.0072	Not submitted
88	testingv7	U,V	0.8123 ± 0.0094	0.1968 ± 0.0166	0.5461 ± 0.0092	0.3904 ± 0.0073	Not submitted
89	OminousBuzzing	V	0.8155 ± 0.0102	0.2281 ± 0.0173	0.6463 ± 0.0084	0.4762 ± 0.0070	Not submitted
90	mmahmed	W	0.8227 ± 0.0075	0.2246 ± 0.0136	0.5996 ± 0.0087	0.4422 ± 0.0070	Not submitted
91	AStaniszewski	W	0.8245 ± 0.0091	0.1854 ± 0.0151	0.5586 ± 0.0085	0.3987 ± 0.0068	Not submitted
92	snowball	W	0.8246 ± 0.0088	0.1739 ± 0.0156	0.5442 ± 0.0097	0.3914 ± 0.0076	Not submitted
93	imikezhu	W,X	0.8273 ± 0.0105	0.2050 ± 0.0175	0.5692 ± 0.0092	0.4113 ± 0.0073	Not submitted
94	admetchallenger	X	0.8315 ± 0.0092	0.1385 ± 0.0167	0.5208 ± 0.0095	0.3762 ± 0.0074	Not submitted
95	pg	Y	0.8381 ± 0.0107	0.1550 ± 0.0210	0.5829 ± 0.0094	0.4243 ± 0.0075	Not submitted
96	maxime1310	Y	0.8387 ± 0.0095	0.2098 ± 0.0145	0.5454 ± 0.0091	0.3886 ± 0.0073	Not submitted
97	paulo	Y,Z	0.8404 ± 0.0104	0.1611 ± 0.0183	0.5852 ± 0.0089	0.4216 ± 0.0071	Not submitted
98	wikke69	@,Z,a	0.8451 ± 0.0083	0.1670 ± 0.0145	0.5347 ± 0.0093	0.3835 ± 0.0073	Invalid link
99	maxime1	@a	0.8470 ± 0.0097	0.1971 ± 0.0148	0.5408 ± 0.0091	0.3844 ± 0.0072	Not submitted
100	AFP_FF_1_ensemble	@a	0.8476 ± 0.0102	0.1509 ± 0.0194	0.5577 ± 0.0102	0.4017 ± 0.0078	Not submitted
101	Mohitlikestocode	@b	0.8606 ± 0.0089	0.1022 ± 0.0164	0.4926 ± 0.0099	0.3498 ± 0.0075	Not submitted
102	jasonlin90125	@c	0.8908 ± 0.0096	0.0399 ± 0.0190	0.4919 ± 0.0099	0.3513 ± 0.0076	Not submitted
103	mkruege	@c,@d	0.8945 ± 0.0126	0.0453 ± 0.0237	0.5681 ± 0.0092	0.4085 ± 0.0073	Not submitted
104	DrSmith	@d	0.8975 ± 0.0096	0.0016 ± 0.0177	0.4766 ± 0.0102	0.3356 ± 0.0077	Not submitted
105	morgul	@e	0.9114 ± 0.0098	0.0026 ± 0.0181	0.4617 ± 0.0101	0.3255 ± 0.0077	Not submitted
106	ProtonSci	@f	0.9200 ± 0.0108	0.0239 ± 0.0189	0.4918 ± 0.0103	0.3469 ± 0.0078	Not submitted
107	chundu05	@g	0.9319 ± 0.0125	-0.2110 ± 0.0373	0.5425 ± 0.0095	0.3880 ± 0.0075	Not submitted
108	emsciage	@h	0.9398 ± 0.0129	-0.2301 ± 0.0364	0.5727 ± 0.0089	0.4201 ± 0.0070	Not submitted
109	minzina	@h	0.9407 ± 0.0083	-0.0027 ± 0.0151	0.4367 ± 0.0106	0.3063 ± 0.0078	Not submitted
110	thmtt	@i	0.9716 ± 0.0098	-0.0991 ± 0.0178	0.3590 ± 0.0104	0.2495 ± 0.0078	Not submitted
111	TheMysteryMan	@i	0.9740 ± 0.0110	-0.1476 ± 0.0226	0.3894 ± 0.0108	0.2745 ± 0.0080	Not submitted
112	trydemo2	@j	1.0069 ± 0.0136	-0.4347 ± 0.0441	0.5474 ± 0.0097	0.3979 ± 0.0075	Not submitted
113	Discoverybytes	@k	1.0119 ± 0.0130	-0.2278 ± 0.0306	0.4420 ± 0.0114	0.3132 ± 0.0083	Not submitted
114	ld502	@l	1.0226 ± 0.0057	-0.1336 ± 0.0099	0.5418 ± 0.0162	0.3875 ± 0.0125	Not submitted
115	iCsmiles	@m	1.0404 ± 0.0139	-0.3441 ± 0.0359	0.3881 ± 0.0121	0.2713 ± 0.0086	Not submitted
116	KyNguyen	@n	1.1750 ± 0.0096	-0.5619 ± 0.0224	0.2544 ± 0.0120	0.1724 ± 0.0082	Not submitted
117	nhkhiem1998	@n	1.1779 ± 0.0157	-1.0217 ± 0.0704	0.5136 ± 0.0105	0.3792 ± 0.0080	Not submitted
118	anon1234	@o	1.3275 ± 0.0198	-1.0071 ± 0.0524	0.4671 ± 0.0101	0.3343 ± 0.0074	Not submitted
119	baseline_v2	@p	1.4000 ± 0.0137	-0.8779 ± 0.0306	0.2068 ± 0.0116	0.1422 ± 0.0083	Not submitted
120	KagakuAI	@q	1.5449 ± 0.1216	-173.1924 ± 41.2820	0.5789 ± 0.0088	0.4211 ± 0.0073	Not submitted
121	DMakarov	@r	1.5973 ± 0.0264	-2.0876 ± 0.0908	0.6002 ± 0.0104	0.4445 ± 0.0080	Not submitted
122	DMak	@s	1.6217 ± 0.0264	-2.1072 ± 0.0908	0.6003 ± 0.0104	0.4417 ± 0.0080	Not submitted
123	bobek	@t	2.1745 ± 0.0296	-3.6127 ± 0.1024	0.5048 ± 0.0180	0.3506 ± 0.0135	Not submitted
124	AussieAussieAussie	@u	2.1941 ± 0.0284	-3.5994 ± 0.1081	0.6069 ± 0.0317	0.4504 ± 0.0234	Not submitted
125	rhlin1023	@v	2.2271 ± 0.0284	-3.6732 ± 0.1054	0.5367 ± 0.0106	0.3959 ± 0.0085	Not submitted
126	rabbit	@w	2.5564 ± 0.1521	-5.3613 ± 0.4891	0.7624 ± 0.0705	0.5875 ± 0.0672	Not submitted
127	clocktower	@x	2.6269 ± 0.0344	-5.5867 ± 0.1537	0.5854 ± 0.0119	0.4257 ± 0.0092	Not submitted
128	clocktower2	@x	2.6306 ± 0.0344	-5.5910 ± 0.1537	0.5709 ± 0.0119	0.4108 ± 0.0092	Not submitted
129	wigu	@y	2.7093 ± 0.0345	-5.8411 ± 0.1539	0.8028 ± 0.0105	0.6372 ± 0.0099	Not submitted
130	GNandini10	@z	2.7183 ± 0.0345	-5.8492 ± 0.1539	0.7157 ± 0.0132	0.5475 ± 0.0113	Not submitted
131	vgny	@z	2.7188 ± 0.0345	-5.8493 ± 0.1539	0.7099 ± 0.0133	0.5418 ± 0.0113	Not submitted
132	egeorge14	@A,@z	2.7229 ± 0.0345	-5.8500 ± 0.1538	0.6907 ± 0.0124	0.5121 ± 0.0107	Not submitted
133	mopac79	@A,@z	2.7230 ± 0.0344	-5.8518 ± 0.1538	0.7313 ± 0.0118	0.5548 ± 0.0102	Not submitted
134	vaishnavi53	@A	2.7241 ± 0.0345	-5.8555 ± 0.1539	0.7291 ± 0.0123	0.5528 ± 0.0107	Not submitted
135	vyshu54	@A	2.7251 ± 0.0345	-5.8673 ± 0.1539	0.7026 ± 0.0146	0.5391 ± 0.0119	Not submitted
136	vaishu53	@B	2.7385 ± 0.0346	-5.8772 ± 0.1540	0.5564 ± 0.0154	0.3988 ± 0.0120	Not submitted

Important Dates

These are important dates to bear in mind:

October-December: Online Q&A sessions and support via the Discord channel
December 2nd: Intermediate leaderboard release
January 19, 2026: Submission closes and final leaderboard released
January 26, 2026: Winners announced

Questions or Ideas?

We’d love to hear from you! Whether you want to learn more, have ideas for future challenges, or wish to contribute data to our efforts.

Join the OpenADMET Discord or contact us at openadmet@omsf.io.

Let’s work together to transform ADMET modeling and accelerate drug discovery!

Acknowledgements

We gratefully acknowledge Jon Ainsley, Andrew Good, Elyse Bourque, Lakshminarayana Vogeti, Renato Skerlj, Tiansheng Wang, and Mark Ledeboer for generously providing the Expansion Therapeutics dataset used in this challenge as an in-kind contribution.