P0CZ03 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxptbnql3rzgxddicysczwigwh4fwmjxaddipaowlvsyvxuzddgq/metadata.json
IPFS of structure file: 
bafybeifi6dqshb72tc2uth55p2rd3hxhkiuyrxd6vbsnbi7jtgbqwvxg4e/AF-P0CZ03-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x091F6E03f377Dec8A4a0efEE4B822E023605Dc04
First NFT owner address (bech32): 
genesis1py0kuqlnwl0v3f9qalhyhq3wqgmqthqy3r2ss9
Current NFT ID #336246 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336246
Accession (UniProt):
P0CZ03
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Cutibacterium acnes (strain DSM 16379 / KPA171202)

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 P0CZ03 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0CZ03|RECA_CUTAK Protein RecA OS=Cutibacterium acnes (strain DSM 16379 / KPA171202) OX=267747 GN=recA PE=3 SV=1 MAATADREKALATALQQIEKQHGKGSIMRLGEQETVKIAAIPTGSVALDVALGVGGLPRGRIVEIYGPESSGKTTVALHAIANAQAEGGICAFIDAEHALDPEYARKLGVDTDSLLVSQPDNGEQALEIADTLVRSGALELIVVDSVAALTPKAEIEGEMGDSHVGLQARLMSQALRKMTGALNAAGTTAIFINQLREKIGVMFGSPETTTGGRALKFYSSVRLDVRRVETLKDGSEMVGNRTRVKVAKNKVAPPFKQAEFDILYGQGISREGSLIDMGVDCGIITKSGSWFSYNNEQLGQGKENVRKFLRGNPDVANEIEDKILTHLGLREAEVPEGVDPRTGEVEF