Q0RDP9 AF NFT

UPF0102 protein FRAAL5785

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiavg4vxbxrquyqp7sulq5bsbuvvsjzdnrg7o3klg4tnxlxa27oaru/metadata.json
IPFS of structure file: 
bafybeigjzrpdyexcoqbbdk5lisfivpp5wlerdokdlt34hrpqfyonoynmbi/AF-Q0RDP9-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6f01Aa60d63aDD170B5Eebb00d139334Fc933195
First NFT owner address (bech32): 
genesis1duq65cxk8tw3wz67awcq6yunxn7fxvv4usdx2n
Current NFT ID #519800 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
519800
Accession (UniProt):
Q0RDP9
Name::
UPF0102 protein FRAAL5785
Experimental Method:
Predicted structure
Sequence source:
Frankia alni (strain ACN14a)

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 Q0RDP9 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q0RDP9|Y5785_FRAAA UPF0102 protein FRAAL5785 OS=Frankia alni (strain ACN14a) OX=326424 GN=FRAAL5785 PE=3 SV=1 MAMRAKDALGRFGEEVASRHLAAGGAAILDRNWRCREGELDLVLRDGADLVFCEVKTRSGTRFGSAAEAVVGRKAARIRRLAARWLAEHPHAPSSVRFDVVLVSRPPVGPVRVEHLRGAF