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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12299

Total visits worldwide

Countries reached

12299

Total visits

Visits by country, highest first
#	Country	Code	Visits
1	United States	US	6517
2	Brazil	BR	929
3	United Kingdom	GB	688
4	China	CN	523
5	Spain	ES	273
6	Singapore	SG	225
7	Netherlands	NL	210
8	Vietnam	VN	198
9	Czech Republic	CZ	197
10	India	IN	144
11	Germany	DE	118
12	Ireland	IE	117
13	Hong Kong	HK	100
14	France	FR	86
15	Moldova	MD	74
16	Bulgaria	BG	68
17	Mexico	MX	52
18	Japan	JP	41
19	Canada	CA	37
20	Switzerland	CH	36
21	Australia	AU	31
22	South Korea	KR	30
23	Taiwan	TW	28
24	Indonesia	ID	27
25	Iran	IR	27
26	Turkey	TR	24
27	Sweden	SE	20
28	Poland	PL	18
29	Saudi Arabia	SA	17
30	Bangladesh	BD	15
31	Georgia	GE	15
32	Romania	RO	14
33	Ukraine	UA	13
34	Lithuania	LT	12
35	Belgium	BE	10
36	Denmark	DK	9
37	Nigeria	NG	9
38	Pakistan	PK	9
39	Israel	IL	8
40	Italy	IT	8
41	Algeria	DZ	7
42	Qatar	QA	6
43	Russia	RU	6
44	Seychelles	SC	6
45	South Africa	ZA	6
46	United Arab Emirates	AE	5
47	Argentina	AR	5
48	Colombia	CO	5
49	Finland	FI	5
50	Iraq	IQ	5
51	New Zealand	NZ	5
52	Austria	AT	3
53	Chile	CL	3
54	Egypt	EG	3
55	Thailand	TH	3
56	Venezuela	VE	3
57	Ecuador	EC	2
58	Morocco	MA	2
59	Norway	NO	2
60	Philippines	PH	2
61	Uruguay	UY	2
62	Uzbekistan	UZ	2
63	Bosnia and Herzegovina	BA	1
64	Bolivia	BO	1
65	Belarus	BY	1
66	Costa Rica	CR	1
67	Cyprus	CY	1
68	Estonia	EE	1
69	Jamaica	JM	1
70	Jordan	JO	1
71	Cambodia	KH	1
72	Kuwait	KW	1
73	Luxembourg	LU	1
74	Latvia	LV	1
75	Mauritius	MU	1
76	Malaysia	MY	1
77	Nepal	NP	1
78	Paraguay	PY	1
79	Serbia	RS	1
80	Slovakia	SK	1
81	Syria	SY	1
82	Togo	TG	1