P35649 AF NFT

Uncharacterized 66.3 kDa protein in hag2 5'region

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiggkzr63yugf7retj2dengtekzrejko24xjsglesdemviwmw3qunm/metadata.json
IPFS of structure file: 
bafybeih3w3nr42dmko55fb3nienzlcdtff7cn6jwab523atndizpi7vgwa/AF-P35649-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x7e0FFEEde44b37B891B739816c83d100c7a675E3
First NFT owner address (bech32): 
genesis10c8lam0yfvmm3ydh8xqkeq73qrr6va0rjas0sp
Current NFT ID #530862 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
530862
Accession (UniProt):
P35649
Name::
Uncharacterized 66.3 kDa protein in hag2 5'region
Experimental Method:
Predicted structure
Sequence source:
Eikenella corrodens

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 P35649 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P35649|YHA2_EIKCO Uncharacterized 66.3 kDa protein in hag2 5'region OS=Eikenella corrodens OX=539 PE=4 SV=1 MSRSFCVFLELHGVGSATLGSGTQVGGITEHLSQRHFSTYFLTAGTVVVHTQYETTATVQVAHYIAHVVFRSFYFHSHNRLQQYRRGFTHTVFECHRSGQFKRNLRRVHIVVRTESQADANIYHRITGYDTILQSVADTFMHRRDEFARNHTTFNFIDKFIACTTRLHRFHFDHNVTILTFTARLFNVFSFGFHFFVDGFAVGHLRYTHISVHTELTLHAVHDNFQVQLAHTGNNGLARFFISAHTERRVFFSQTVQSDTHFLLVGLSFRLNGNVDYRLGEFHAFKDNRGIFCTQSFTVVTSFKPIAAAMSPARTSSISVRSAAVIYTKRADTLTSAFNRVQNSVARFRHARVNTDKGQLTNVFIIQHLESQSGEFLVITGLAAVGFFSIRVNTLNWRNVGRSRQQFNHGIQHTLNTFVFKCRTAQHRLDFTGKRTLTQRASDFFFRQLFTTQVLVHQLFAGFGGGFDHILTPLFGSRNQISRDIVIFESYAFIGFIPNNGFHLQQVHYAFEFTLGTNRNHDWHGIGAQTGFHLLNYAEEVGTLTVHFVYKCQARNLVFIGLAPHSFRQRQNTTYCTV