E0SIS4 AF NFT

Putative type VI secretion system protein VgrGB

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeideeydxg2lzfj4j2oh6ovxxi5ijhldclcu3lwjwbube5nmzhuy5ci/metadata.json
IPFS of structure file: 
bafybeihyqnkdfrlagu7cofm2n2p4hpxp5j6avhcz47rit5gzjjdeb6ifx4/AF-E0SIS4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7FDF8b382C6a36A8772D1A265E8e480c7DF0A9C1
First NFT owner address (bech32): 
genesis10l0ckwpvdgm2saedrgn9arjgp37lp2wpyzq5qn
Current NFT ID #496270 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
496270
Accession (UniProt):
E0SIS4
Name::
Putative type VI secretion system protein VgrGB
Experimental Method:
Predicted structure
Sequence source:
DICKEYA DADANTII (STRAIN 3937)

NFT data

MolNFT AF v1 is an AlphaFold database of AI predicted Swiss-Prot protein sequences preserved as regular ERC-721 NFT tokens on GenesisL1 blockchain for public free use, research and entertainment:

https://alphafold.ebi.ac.uk/
Jumper, J., Evans, R., Pritzel, A. et al. Highly accurate protein structure prediction with AlphaFold. 
Nature 596, 583–589 (2021). https://doi.org/10.1038/s41586-021-03819-2

MOLNFT E0SIS4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|E0SIS4|VGRGB_DICD3 Putative type VI secretion system protein VgrGB OS=Dickeya dadantii (strain 3937) OX=198628 GN=vgrGB PE=3 SV=1 MANSTGLQFTVKVGALPDTTFAVVDFELSEALNQPFALSLNLASSQPGIDFGAVLDQPCELLVWYEGELQRRVSGIVSRFAQGDTGFRRTRYQAEVRPALWRLGLRTNARIFQTQKPDAIISTLLEEAGITDYAFALRHDHAVREYCVQYRESDLAFINRLAAEEGLFYFHEFEAGKHRVVFADDAGALAKGPELFFNLATQGLSEGAYVRRFRYAEAVSTAEVALKDYSFKTPAYGLLHNKMSSELAHQRESYQHFDYPGRFKQDPSGKAFTGYRLDALRAGAMTGNGESNAAELRPGSSFTLTEHPNPAFNLAWQVVAVAHSGQQPQALEEESGGEPTTLSNSFEVVKATTTWRAALPYKPMVDGPQIATVVGPAGEEIYCDEFGRVKLQFPWDRYGASDDQSSCWVRVSQGWAGGQYGLIAIPRIGHEVVVSFLEGDPDQPIVTGRTFHATNPSPYPLPASKTRTSLRTSTHKGAGFNELRFEDQAGQEEVFIHAQKDMNTVVLNNRSTSVNASHTENVGGDQTVVVQHNQTVSVKENQVTEIQGEQTVAVTKNRHTTVDDNESLQVKKNIAIQSQSGDVLIATAGGFIAIDKDGNISITGKGLVLNGTRIDLN