Q2K7T3 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifm5u2qw5ie6do3dznd57372shyomfbefsrb75pphjyswrjn3mdsi/metadata.json
IPFS of structure file: 
bafybeihq76vei6vs6l4vbtvwsryhfgyuchbai7zhgqyattyberr3heubhm/AF-Q2K7T3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x9Ea89d7b0571c3B9F64ad0744202C9873c5075BA
First NFT owner address (bech32): 
genesis1n65f67c9w8pmnaj26p6yyqkfsu79qad6089v28
Current NFT ID #336518 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
336518
Accession (UniProt):
Q2K7T3
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM ETLI (STRAIN CFN 42 / ATCC 51251)

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 Q2K7T3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K7T3|RECA_RHIEC Protein RecA OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=recA PE=3 SV=1 MSQNSLRLVEDKSVDKSKALEAALSQIERSFGKGSIMKLGSNENVVEIETVSTGSLGLDIALGIGGLPKGRIIEIYGPESSGKTTLALQTIAESQKKGGICAFVDAEHALDPVYARKLGVDLQNLLISQPDTGEQALEITDTLVRSGAVDVLVVDSVAALTPRAEIEGEMGDSLPGMQARLMSQALRKLTASISKSNCMVIFINQIRMKIGVMFGSPETTTGGNALKFYASVRLDIRRIGSVKEREEVVGNQTRVKVVKNKMAPPFKQVEFDIMYGEGVSKTGELVDLGVKAGIVEKSGAWFSYNSQRLGQGRENAKTFLRDNPDLAREIELALRQNAGLIADRFLQNGGPDADDGDAAAEM