A4J0C1 AF NFT

Protein RecA

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaehfm6pkb7jv3eomhj4rklv7tjfh7ffgckehjxsrzwp7wfesndly/metadata.json
IPFS of structure file: 
bafybeievuffhxv45vgt6snpxcbig7yolji2jukr4js77gohtbrfenqxwu4/AF-A4J0C1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xe68A5109F149B286F3fb6Fbb333E888F4332beFE
First NFT owner address (bech32): 
genesis1u699zz03fxegdulmd7anx05g3apn90h7savz43
Current NFT ID #336305 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
336305
Accession (UniProt):
A4J0C1
Name::
Protein RecA
Experimental Method:
Predicted structure
Sequence source:
Francisella tularensis subsp. tularensis (strain WY96-3418)

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 A4J0C1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A4J0C1|RECA_FRATW Protein RecA OS=Francisella tularensis subsp. tularensis (strain WY96-3418) OX=418136 GN=recA PE=3 SV=1 MSKEKALESALSQIEKQFGKGAIMRLGDQEAAHDIDVIPSGIIALDVALGIGGYPKGRIIEIYGHESSGKTTLTLLAIAQCQKQGGTAAFVDAEHALDPKYAKLLGVDVDNLIVSQPDTGEQALEIADMLVRSGGVDIVVIDSVAALTPKAEIEGDMGDSHMGLQARLMSQALRKLTANIKRSNTLVIFINQIRMKIGVMFGNPETTTGGNALKFYSSVRLEVKKGGSIKDGIDVSGNEIKVKVVKNKVAPPFKQADFELIYGEGISLEAELIDLGAKYNIIEKSGAWYSYKGKKIGQGKEKSKEYLKENTAERDEIERAILELLLPNKYSNKDSNDSPKEGSKIKTKVNPAVTQDELI