Skip to main content
Subscribe
Log In
More
Log in via Institution
Log in via OpenAthens
Log in via ACP
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
Basket
Search
More
Search for this keyword
Advanced search
Latest content
Current issue
Archive
For authors
About
Topic collections
Search for this keyword
Advanced search
Close
More
Main menu
Latest content
Current issue
Archive
For authors
About
Topic collections
Subscribe
Log in
More
Log in via Institution
Log in via OpenAthens
Log in via ACP
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
BMJ Journals
You are here
Home
Archive
Volume 74, Issue 8
Immunoinformatic approach to assess SARS-CoV-2 protein S epitopes recognised by the most frequent MHC-I alleles in the Brazilian population
Email alerts
Article metrics
Article menu
Article
Text
Article
info
Citation
Tools
Share
Rapid Responses
Article
metrics
Alerts
PDF
Original research
Immunoinformatic approach to assess SARS-CoV-2 protein S epitopes recognised by the most frequent MHC-I alleles in the Brazilian population
Online download statistics by month:
Online download statistics by month: August 2020 to September 2024
Abstract
Full
Pdf
Aug 2020
899
883
240
Sep 2020
332
311
59
Oct 2020
191
195
40
Nov 2020
131
133
35
Dec 2020
130
130
47
Jan 2021
118
117
30
Feb 2021
210
206
37
Mar 2021
131
131
44
Apr 2021
95
95
21
May 2021
135
135
24
Jun 2021
316
316
20
Jul 2021
419
421
47
Aug 2021
377
381
69
Sep 2021
306
304
30
Oct 2021
243
225
36
Nov 2021
93
91
35
Dec 2021
71
72
23
Jan 2022
103
107
19
Feb 2022
72
67
16
Mar 2022
77
77
15
Apr 2022
79
74
24
May 2022
76
74
23
Jun 2022
59
59
15
Jul 2022
45
45
10
Aug 2022
50
47
11
Sep 2022
36
38
20
Oct 2022
70
71
13
Nov 2022
59
52
19
Dec 2022
25
23
16
Jan 2023
37
28
15
Feb 2023
47
44
9
Mar 2023
19
13
3
Apr 2023
82
1
3
May 2023
70
0
3
Jun 2023
32
0
0
Jul 2023
45
1
1
Aug 2023
49
2
1
Sep 2023
56
2
0
Oct 2023
112
0
0
Nov 2023
50
1
0
Dec 2023
59
0
1
Jan 2024
43
1
2
Feb 2024
52
1
1
Mar 2024
44
3
3
Apr 2024
145
1
2
May 2024
248
6
5
Jun 2024
116
1
4
Jul 2024
66
2
3
Aug 2024
64
1
3
Sep 2024
48
2
3
Total
6432
4990
1100
Read the full text or download the PDF:
Subscribe
Log in
Log in via Institution
Log in via OpenAthens
Log in via ACP
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?