Q2K665 AF NFT

UPF0303 protein RHE_CH02903

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiaavca25fnow2ayothoalxgjm3niyo2xj6a2ktgjmplzgnpq2to6q/metadata.json
IPFS of structure file: 
bafybeid2oqq4zow27judr3nqwkfjmq44hd7zjjvxvdgqk7xkaytdu3ma2e/AF-Q2K665-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x78Cc7f9BF18AF8279e492D45EE7Fe9d7cC6f6D07
First NFT owner address (bech32): 
genesis10rx8lxl33tuz08jf94z7ullf6lxx7mg8844d65
Current NFT ID #513993 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513993
Accession (UniProt):
Q2K665
Name::
UPF0303 protein RHE_CH02903
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 Q2K665 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2K665|Y2903_RHIEC UPF0303 protein RHE_CH02903 OS=Rhizobium etli (strain CFN 42 / ATCC 51251) OX=347834 GN=RHE_CH02903 PE=3 SV=1 MTIDNDLSRIAEQEKALSFDAFDLTTAWQLGKLLQELASERGLGIAIDVTLHSMPVFYAALPGVTPDNVNWVRRKRNMVLRYFRSSYASGLKLSKDGKTVEDNGLDGADYAPHGGSFPINVKGTGCIGAVTVSGLPQRDDHNLVVEALALMLAKDLDTLRLSPL