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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12914

Total visits worldwide

Countries reached

12914

Total visits

Visits by country, highest first
#	Country	Code	Visits
1	United States	US	6812
2	Brazil	BR	948
3	United Kingdom	GB	739
4	China	CN	589
5	Spain	ES	286
6	Singapore	SG	259
7	Vietnam	VN	226
8	Czech Republic	CZ	221
9	Netherlands	NL	217
10	India	IN	148
11	Germany	DE	127
12	Ireland	IE	119
13	Hong Kong	HK	115
14	France	FR	86
15	Bulgaria	BG	74
16	Moldova	MD	74
17	Mexico	MX	56
18	Japan	JP	43
19	Canada	CA	37
20	Switzerland	CH	36
21	Australia	AU	35
22	South Korea	KR	30
23	Taiwan	TW	30
24	Indonesia	ID	28
25	Iran	IR	27
26	Turkey	TR	24
27	Sweden	SE	20
28	Poland	PL	19
29	Bangladesh	BD	17
30	Saudi Arabia	SA	17
31	Georgia	GE	15
32	Lithuania	LT	15
33	Ukraine	UA	15
34	Nigeria	NG	14
35	Romania	RO	14
36	Belgium	BE	10
37	Denmark	DK	9
38	Pakistan	PK	9
39	Israel	IL	8
40	Italy	IT	8
41	Argentina	AR	7
42	Colombia	CO	7
43	Algeria	DZ	7
44	Russia	RU	7
45	South Africa	ZA	7
46	Qatar	QA	6
47	Seychelles	SC	6
48	United Arab Emirates	AE	5
49	Finland	FI	5
50	Iraq	IQ	5
51	New Zealand	NZ	5
52	Chile	CL	4
53	Austria	AT	3
54	Egypt	EG	3
55	Philippines	PH	3
56	Thailand	TH	3
57	Venezuela	VE	3
58	Ecuador	EC	2
59	Morocco	MA	2
60	Norway	NO	2
61	Uruguay	UY	2
62	Uzbekistan	UZ	2
63	Bosnia and Herzegovina	BA	1
64	Bolivia	BO	1
65	Belarus	BY	1
66	Cameroon	CM	1
67	Costa Rica	CR	1
68	Cyprus	CY	1
69	Dominican Republic	DO	1
70	Estonia	EE	1
71	Jamaica	JM	1
72	Jordan	JO	1
73	Cambodia	KH	1
74	Kuwait	KW	1
75	Luxembourg	LU	1
76	Latvia	LV	1
77	Mauritius	MU	1
78	Malaysia	MY	1
79	Nepal	NP	1
80	Peru	PE	1
81	Paraguay	PY	1
82	Serbia	RS	1
83	Slovakia	SK	1
84	Syria	SY	1
85	Togo	TG	1