T2KN67 AF NFT

Uncharacterized protein P7

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiatsrlzku6gjzxk3k4rdruhxq32i2snkjggsrzzmo7ps7ik3huqxa/metadata.json
IPFS of structure file: 
bafybeif5qoqhcu2qdsm3goljdfaqkuuejh2fnxp5i22i7wgkrgzrj2d4he/AF-T2KN67-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC9F16D6B50D34396A80f1DDB90a4cb8b6C3C595c
First NFT owner address (bech32): 
genesis1e8ck666s6dped2q0rhdepfxt3dkrck2uftd7ht
Current NFT ID #301265 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
301265
Accession (UniProt):
T2KN67
Name::
Uncharacterized protein P7
Experimental Method:
Predicted structure
Sequence source:
Formosa agariphila (strain DSM 15362 / KCTC 12365 / LMG 23005 / KMM 3901 / M-2Alg 35-1)

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 T2KN67 research and analysis (ICN3D with VR)

FASTA sequences

>sp|T2KN67|PLH7_FORAG Uncharacterized protein P7 OS=Formosa agariphila (strain DSM 15362 / KCTC 12365 / LMG 23005 / KMM 3901 / M-2Alg 35-1) OX=1347342 GN=BN863_21960 PE=3 SV=2 MKHVIMLYFIAAATLFSSCAKQDSEHRLITVKNSLDLPRAFETIEISKSDIQLHTGERFEDFSIQDVATKAILTSQFVDEDQDGTADVLLFQPELNPNSEKQFELVKVDGGVEVDSTVYCYSRFVPERTDDYTWENNKVAFRTYGPVAQKMVEDSLPGGTLSSGIDAWLKKVEYSIIDNWYAKNDKDPGYYHIDHGEGLDNFHVGSSRGVGGSAVKVDTSYYISKNFTDYKTITTGPIRTSFILKYADWDANEKTISEEKHISLDYGNNFSRFEIHVDGTDELSVGLTLHDNKGEITQNVDQGWIAYWESEYFDSELGTAIVAPKGVMTASEYYVTSMKDRSNLYAQLNVDNNKVVYYAGFAWKESKQYPTKASWEKYIQEFSEKLNTPLEVSIQ