Q9S660 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiamspnzms62bsxct624etehhpgjwi3gzyg4k77rzekmgnxtxjd4ni/metadata.json
IPFS of structure file: 
bafybeifd6vpt4oqtszbrbbslyrfciokwjz4ubl4n3medc2v3zvjbktgtba/AF-Q9S660-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3B8980aa24D16c478Ffda87D4df057cca6FC37da
First NFT owner address (bech32): 
genesis18wycp23y69ky0rla4p75muzhejn0cd76mjsrxz
Current NFT ID #336145 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
336145
Accession (UniProt):
Q9S660
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
BIFIDOBACTERIUM BREVE

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 Q9S660 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9S660|RECA_BIFBR Protein RecA OS=Bifidobacterium breve OX=1685 GN=recA PE=3 SV=1 MALETKPAQDPATEIKHELDPKRKAALDTALAQVEKSFGKGSAMRLGDQPVQNVEVIPTGSLALDMALGIGGLPKGRIVEIYGPESSGKTTLALHVVANAQKKGGVAAYIDAEHALDPAYARKLGVDTDSLIVSQPDNGEQALEIADMLIRSGALDVIVIDSVAALVPKAEIEGEMGDSHVGLQARLMSQALRKMTGALAQAGTTAIFINQLREKIGVFFGNPETTTGGKALKFYASVRLDIRRIQTLKNGDEAVGNRTRVKVVKNKMAPPFKSAEFDMLYGEGISREGSVIDMAQQVGVVKKSGSWFTYEGDQLGQGREKVRQFLKDNPAITEEIENKVKAEFGLIGSADQFAEDEDAAAAAAVSEAAAADAAKDTKATAAPAAKSSRAKA