| REAGENT or RESOURCE | SOURCE | IDENTIFIER |
|---|---|---|
| Deposited Data | ||
| HLA haplotype population frequency data | This paper, Mendeley Data | Mendeley Data: https://doi.org/10.17632/cfxkfy9zp4.1 |
| SARS-CoV-2 vaccine designs | This paper | Table S3 |
| SARS-CoV-2 proteome | GISAID (Elbe and Buckland-Merrett, 2017) | Sequence entry Wuhan/IPBCAMS-WH-01/2019 |
| SARS-CoV proteome | UniProt (Consortium, 2019) | UniProt: UP000000354 (Proteome ID) |
| HLA population frequency data | dbMHC, as obtained from the IEDB Population Coverage Tool download (Bui et al., 2006) | http://tools.iedb.org/population/ |
| Human proteome | UniProt (Consortium, 2019) | UniProt: UP000005640 (Proteome ID) |
| SARS-CoV-2 experimental peptide stability data (Immunitrack) | (Prachar et al., 2020) | Data S1. COVID19-Intavis-Immunitrack-dataset: https://www.immunitrack.com/wp/wp-content/uploads/Covid19-Intavis-Immunitrack-datasetV2.xlsx |
| SARS-CoV-2 cleavage regions: ORF1a and ORF1b | UniProt (Consortium, 2019) | UniProt: P0DTD1; https://covid-19.uniprot.org/uniprotkb/P0DTD1#Protein%20Processing |
| SARS-CoV-2 cleavage regions: Spike (S) | (Wang et al., 2020) | Figure 1 |
| Additional SARS-CoV-2 proteomes for mutation analysis | GISAID (Elbe and Buckland-Merrett, 2017) | Acknowledgements and detailed GISAID accessions in Table S4 (this paper) |
| Experimental data of Spike N-glycosylation: Cryo-EM | (Walls et al., 2020) | Table 2 |
| Experimental data of Spike N-glycosylation: tandem mass spectrometry | (Zhang et al., 2020b) | https://www.biorxiv.org/content/10.1101/2020.03.28.013276v1.upplementary-material, Figures S5A and S5B |
| Baseline vaccine MHC I: (Srivastava et al., 2020) | (Srivastava et al., 2020) | Figure 2 |
| Baseline vaccine MHC I: (Herst et al., 2020) | (Herst et al., 2020) | Data S1; Table 6 |
| Baseline vaccine MHC I: (Herst et al., 2020)-top16 | (Herst et al., 2020) | Table 4 |
| Baseline vaccine MHC I: (Baruah and Bose, 2020) | (Baruah and Bose, 2020) | Table 1 |
| Baseline vaccine MHC I: (Fast et al., 2020) | (Fast et al., 2020) | Table 2 |
| Baseline vaccine MHC I: (Poran et al., 2020) | (Poran et al., 2020) | Table S5 |
| Baseline vaccine MHC I: (Vashi et al., 2020) | (Vashi et al., 2020) | Table 5 |
| Baseline vaccine MHC I: (Abdelmageed et al., 2020) | (Abdelmageed et al., 2020) | Table 2 |
| Baseline vaccine MHC I: (Lee and Koohy, 2020) | (Lee and Koohy, 2020) | Table 4 |
| Baseline vaccine MHC I: (Akhand et al., 2020) | (Akhand et al., 2020) | Table 2 |
| Baseline vaccine MHC I: (Singh et al., 2020) | (Singh et al., 2020) | Table 2 |
| Baseline vaccine MHC I: (Bhattacharya et al., 2020) | (Bhattacharya et al., 2020) | Table 2 |
| Baseline vaccine MHC I: (Ahmed et al., 2020) | (Ahmed et al., 2020) | Table 2 |
| Baseline vaccine MHC I: (Saha and Prasad, 2020) | (Saha and Prasad, 2020) | Table 1 |
| Baseline vaccine MHC I: (Gupta et al., 2020) | (Gupta et al., 2020) | Table 4a |
| Baseline vaccine MHC I: (Khan et al., 2020) | (Khan et al., 2020) | Sub-Section 2 in Results of the Main Text |
| Baseline vaccine MHC I: (Mitra et al., 2020) | (Mitra et al., 2020) | Table 1(C) |
| Baseline vaccine MHC I: (Nerli and Sgourakis, 2020) | (Nerli and Sgourakis, 2020) | Tables S1 and S2 |
| Baseline vaccine MHC I: (Yarmarkovich et al., 2020) | (Yarmarkovich et al., 2020) | Table S5 (65 33-mers, to which we applied sliding windows of lengths 8–10 to obtain the peptide set considered for MHC class I) |
| Baseline vaccine MHC I: (Yazdani et al., 2020) | (Yazdani et al., 2020) | Table 1 (peptides created by sliding windows of length 8–10) |
| Baseline vaccine MHC I: (Ismail et al., 2020) | (Ismail et al., 2020) | Section 3.2 "MEPVC Designing" (peptides created by sliding windows of length 8–10) |
| Baseline vaccine MHC II: (Ramaiah and Arumugaswami, 2020) | (Ramaiah and Arumugaswami, 2020) | Table S2 - "Unique Mean HBA T-Cell Epitopes" for each protein Subunit |
| Baseline vaccine MHC II: (Fast et al., 2020) | (Fast et al., 2020) | Table 2 |
| Baseline vaccine MHC II: (Banerjee et al., 2020) | (Banerjee et al., 2020) | Table 3 |
| Baseline vaccine MHC II: (Akhand et al., 2020) | (Akhand et al., 2020) | Table 2 |
| Baseline vaccine MHC II: (Poran et al., 2020) | (Poran et al., 2020) | Table S7 |
| Baseline vaccine MHC II: (Singh et al., 2020) | (Singh et al., 2020) | Table 2 |
| Baseline vaccine MHC II: (Ahmed et al., 2020) | (Ahmed et al., 2020) | Table 2 |
| Baseline vaccine MHC II: (Tahir ul Qamar et al., 2020) | (Tahir ul Qamar et al., 2020) | Table 1 |
| Baseline vaccine MHC II: (Mitra et al., 2020) | (Mitra et al., 2020) | Table 1(B) |
| Baseline vaccine MHC II: (Abdelmageed et al., 2020) | (Abdelmageed et al., 2020) | Table 3 |
| Baseline vaccine MHC II: (Vashi et al., 2020) | (Vashi et al., 2020) | Table 6 |
| Baseline vaccine MHC II: (Baruah and Bose, 2020) | (Baruah and Bose, 2020) | Table 2 |
| Baseline vaccine MHC II: (Yarmarkovich et al., 2020) | (Yarmarkovich et al., 2020) | Table S5 (65 33-mers, to which we applied sliding windows of lengths 13–25 to obtain the peptide set considered for MHC class II) |
| Baseline vaccine MHC II: (Yazdani et al., 2020) | (Yazdani et al., 2020) | Table 1 (peptides created by sliding windows of length 13–25) |
| Megapool MHC I: (Grifoni et al., 2020a) | (Grifoni et al., 2020a) | Table S6 |
| Megapool MHC II: (Grifoni et al., 2020a) | (Grifoni et al., 2020a) | Table S3 |
| Software and Algorithms | ||
| OptiVax | This paper, GitHub | https://github.com/gifford-lab/optivax |
| EvalVax | This paper, GitHub | https://github.com/gifford-lab/optivax |
| NetMHCpan-4.0 | (Jurtz et al., 2017) | http://www.cbs.dtu.dk/services/NetMHCpan-4.0/ |
| NetMHCpan-4.1 | (Reynisson et al., 2020a) | http://www.cbs.dtu.dk/services/NetMHCpan-4.1/ |
| NetMHCIIpan-4.0 | (Reynisson et al., 2020b) | http://www.cbs.dtu.dk/services/NetMHCIIpan-4.0/ |
| NetMHCIIpan-3.2 | (Jensen et al., 2018) | http://www.cbs.dtu.dk/services/NetMHCIIpan-3.2/ |
| MHCflurry 1.6.0 | (O’Donnell et al., 2020) | Version 1.6.0, https://github.com/openvax/mhcflurry |
| PUFFIN | (Zeng and Gifford, 2019); https://github.com/gifford-lab/PUFFIN | GitHub commit a63f6c563b7e2f7b04eac28 a6cf09d8078ac3a2a with pre-trained model |
| Hapferret | https://github.com/nilsboar/HapFerret | GitHub commit e2381dc567cec97373acb 49c09f167e46ea0bb53 |
| Nextstrain | (Hadfield et al., 2018); https://github.com/nextstrain/ncov | GitHub commit 639c63f25e0bf30c900f8d 3d937de4063d96f791 |
| NetNGlyc | (Gupta et al., 2004) | http://www.cbs.dtu.dk/services/NetNGlyc/ |