Q92GE1 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicc23sv6i7ivm3v6f3fcqvc5czxotlzasyt2bujqignn4f5yp7rxi/metadata.json
IPFS of structure file: 
bafybeiab233yd3u3s562wvdzku4ae43mun4m3ye2xokop6ymhccmam6vbi/AF-Q92GE1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xed981C7Bde83976797b0E4fB64b4974D133Bd529
First NFT owner address (bech32): 
genesis1akvpc777swtk09asunakfdyhf5fnh4ffmruazs
Current NFT ID #336537 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336537
Accession (UniProt):
Q92GE1
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
RICKETTSIA CONORII (STRAIN ATCC VR-613 / MALISH 7)

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 Q92GE1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q92GE1|RECA_RICCN Protein RecA OS=Rickettsia conorii (strain ATCC VR-613 / Malish 7) OX=272944 GN=recA PE=3 SV=2 MSNTDKERAIAAALAQIEKSYGKGSVMKLGQRPHVDIEAVSTGSLGLDIALGIGGVPKGRIIEIFGPESSGKTTLTLHLIAEAQKKGGTCAFIDAEHALDPAYAKKLGVNIDELIISQPDTGEQALEIADTLIRSSGIDMIIIDSVAALVPKSEIEGEMGDAQMASQARLMSQALRKLTASINRTNCITVFINQIRMKIGVMFGSPETTTGGNALKFYASVRIDIRRIGSIKDKEEVIGSQTKVKVVKNKVSPPFKTADFDIMYGSGISKEGEIIDLGVKLDIVEKSGSWFSYKNVRIGQGRENVKQYLKEHPQISNEIEKIIREKSSKITNINLDQTEEEND