Q07602 AF NFT

Uncharacterized protein in mosA 5'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib42nhthft7xrz6v3viwcb3jai2yw4v6zua4r2rojzqyauvj2saki/metadata.json
IPFS of structure file: 
bafybeietlpiexdxnpt73vdlqqmzlxug4vjgyqlzwtqu2t7lp6zcwrshmga/AF-Q07602-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x347eB4f8d19409C2e56B7bb14c5737cE89b32fec
First NFT owner address (bech32): 
genesis1x3ltf7x3jsyu9ett0wc5c4ehe6ymxtlv2gnfq5
Current NFT ID #534836 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
534836
Accession (UniProt):
Q07602
Name::
Uncharacterized protein in mosA 5'region
Experimental Method:
Predicted structure
Sequence source:
RHIZOBIUM MELILOTI

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 Q07602 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q07602|YMSA_RHIML Uncharacterized protein in mosA 5'region OS=Rhizobium meliloti OX=382 PE=4 SV=1 MAAPRQIAFYGKGGTGKPKRKPEPVTASKEDRCLGSPSKNKAHFHSRMNVMARMRGGHGFRVPSAASRKAMKHKWKGQPLPKKALILLEGTKMGTGQPPVAS