C5BEJ2 AF NFT

UvrABC system protein B

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigvamratqbj7od5rithjhjncjrtwx7hmdywtcdzzb3p7hrwxe5ixu/metadata.json
IPFS of structure file: 
bafybeihljuk6gwykj4uqdkgjnie7dr6aiufaalb5oyc2yaujv2mmdcc4m4/AF-C5BEJ2-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x46EfCa788d03A3e879DAcDb96552AB8Bbc7e20b3
First NFT owner address (bech32): 
genesis1gmhu57ydqw37s7w6ekuk254t3w78ug9ndfc7sx
Current NFT ID #493304 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
493304
Accession (UniProt):
C5BEJ2
Name::
UvrABC system protein B
Experimental Method:
Predicted structure
Sequence source:
Edwardsiella ictaluri (strain 93-146)

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 C5BEJ2 research and analysis (ICN3D with VR)

FASTA sequences

>sp|C5BEJ2|UVRB_EDWI9 UvrABC system protein B OS=Edwardsiella ictaluri (strain 93-146) OX=634503 GN=uvrB PE=3 SV=1 MSKTFKLHSAFQPSGDQPEAIRRLEEGLEDGLAHQTLLGVTGSGKTFTIANVIADLNRPTMVMAPNKTLAAQLYGEMKQFFPENAVEYFVSYYDYYQPEAYVPSSDTFIEKDASVNEHIEQMRLSATKALLERRDVVVVASVSAIYGLGDPDLYLKMMLHLTQGMLIDQRSILRRLSELQYVRNDQAFARGTFRVRGEVIDIFPAEADDEALRVELFDDEVERLSLFDPLTGQLLRTVPRFTVYPKTHYVTPRERILQAMEAIRAELAMRRQSLLASNKLLEEQRLAQRTQFDLEMMNELGYCSGIENYSRYLSGRGPGEPPPTLFDYLPADGLLVIDESHVTIPQIGGMYRGDRARKETLVEYGFRLPSALDNRPLRFEEFEALAPQTIYVSATPGNYELDKSGGEVIDQVVRPTGLLDPLIEVRPVATQVDDLLSEINLRAAIGERVLVTTLTKRMAEDLTEYLEEHGVRVRYLHSDIDTVERMEIIRDLRLGEFDALVGINLLREGLDMPEVSLVAILDADKEGFLRSERSLIQTIGRAARNLNGKAILYADKITPSMARAIGETERRRERQQAFNLAHGITPQALNKKVTDILQLGDGPVRSRTKGARGQRAAEPHPDYHTLSAKQIEQQIQRLETQMYQHAQNLEFEQAAALRDEIHILREQFKNAS