Predict allosteric site-forming residues from a protein structure

Give STINGAllo a PDB identifier and a chain, and it returns the residues it predicts form an allosteric site — at single-residue resolution, with an interactive 3D view of the result.

How it works

Free and open to all. No registration.

At a glance

Input
A 4-character PDB code and one chain, or your own .pdb file.
Output
The predicted allosteric site-forming residues (AFRs), rendered on the structure and downloadable.
Who it is for
Structural biologists, computational chemists and drug-discovery groups looking for allosteric sites.
Programmatic access
REST API for pipeline integration.

A per-residue approach, not a pocket search

In predicting allosteric sites, STINGAllo highlights the pivotal role of the internal protein nanoenvironment in defining the allosteric potential of residues. Traditional methods often focus on identifying pockets, which can miss crucial spatial and physicochemical contexts. StingAllo, however, employs a per-residue approach, in analyzing the nanoenvironment surrounding each residue, ensuring a more accurate prediction of allosteric forming residues (AFRs), surpassing the capabilities of pocket-focused techniques.

Nanoenvironment descriptors

Optimised internal descriptors per residue, including hydrophobic interaction networks, local density, graph connectivity and the “sponge effect” metric.

78%

Benchmark success rate

Against 21.1–24.2% for contemporary pocket-based predictors, which miss 18% of confirmed sites lying outside surface invaginations.

52.7%

Of unique PDB proteins

Contain at least one chain with a predicted allosteric site, across the 119,851 entries surveyed on 14 November 2024.

Read the STINGAllo publications

Getting started

Three steps, from a PDB code to a highlighted structure.

Enter a PDB code on the Server page
Type a 4-character code such as 3I54, or upload your own .pdb file. Worked examples are offered on the form.
Choose one chain
STINGAllo lists the chains in the entry, with organism, molecule and sequence length pulled from RCSB, so you can pick the right one. Exactly one chain per run.
Read the result
The predicted AFRs are listed as residue name and number, and drawn as a surface on the chain. You can export the structure, a PyMOL script and the residue list together.

Go to the STINGAllo Server

Global usage

Where STINGAllo has been accessed from.

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11779

Total visits worldwide

Countries reached

11779

Total visits

Visits by country, highest first
#	Country	Code	Visits
1	United States	US	6282
2	Brazil	BR	906
3	United Kingdom	GB	625
4	China	CN	488
5	Spain	ES	268
6	Singapore	SG	203
7	Netherlands	NL	201
8	Czech Republic	CZ	183
9	Vietnam	VN	173
10	India	IN	138
11	Germany	DE	115
12	Ireland	IE	111
13	France	FR	84
14	Hong Kong	HK	84
15	Moldova	MD	74
16	Bulgaria	BG	65
17	Mexico	MX	44
18	Japan	JP	39
19	Canada	CA	37
20	Switzerland	CH	36
21	South Korea	KR	29
22	Australia	AU	28
23	Taiwan	TW	27
24	Iran	IR	25
25	Indonesia	ID	24
26	Turkey	TR	21
27	Poland	PL	18
28	Sweden	SE	18
29	Saudi Arabia	SA	17
30	Bangladesh	BD	15
31	Georgia	GE	15
32	Lithuania	LT	12
33	Ukraine	UA	12
34	Romania	RO	11
35	Pakistan	PK	9
36	Denmark	DK	8
37	Israel	IL	8
38	Italy	IT	8
39	Algeria	DZ	6
40	Russia	RU	6
41	Seychelles	SC	6
42	South Africa	ZA	6
43	Belgium	BE	5
44	Colombia	CO	5
45	Iraq	IQ	5
46	Nigeria	NG	5
47	New Zealand	NZ	5
48	Qatar	QA	5
49	Argentina	AR	4
50	Finland	FI	4
51	United Arab Emirates	AE	3
52	Austria	AT	3
53	Egypt	EG	3
54	Thailand	TH	3
55	Venezuela	VE	3
56	Chile	CL	2
57	Morocco	MA	2
58	Norway	NO	2
59	Philippines	PH	2
60	Uruguay	UY	2
61	Bosnia and Herzegovina	BA	1
62	Bolivia	BO	1
63	Belarus	BY	1
64	Costa Rica	CR	1
65	Cyprus	CY	1
66	Ecuador	EC	1
67	Jamaica	JM	1
68	Jordan	JO	1
69	Cambodia	KH	1
70	Kuwait	KW	1
71	Latvia	LV	1
72	Mauritius	MU	1
73	Malaysia	MY	1
74	Nepal	NP	1
75	Paraguay	PY	1
76	Serbia	RS	1
77	Slovakia	SK	1
78	Syria	SY	1
79	Togo	TG	1
80	Uzbekistan	UZ	1