Q2UJF5 AF NFT

Mitochondrial distribution and morphology protein 34

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicxzlehz3svu46wsh2hf6osquj6y4zkc65ok3jpamkqataxpqaeuq/metadata.json
IPFS of structure file: 
bafybeidfzluqwvcfp2gqwzb6fthv3jyyg3agjumqc27qsxfnpxyz2wyknu/AF-Q2UJF5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4199EeC82b849fde39B880b988Ac2427d713765e
First NFT owner address (bech32): 
genesis1gxv7ajptsj0auwdcszuc3tpyylt3xaj78dpw3v
Current NFT ID #227839 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
227839
Accession (UniProt):
Q2UJF5
Name::
Mitochondrial distribution and morphology protein 34
Experimental Method:
Predicted structure
Sequence source:
ASPERGILLUS ORYZAE (STRAIN ATCC 42149 / RIB 40)

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 Q2UJF5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q2UJF5|MDM34_ASPOR Mitochondrial distribution and morphology protein 34 OS=Aspergillus oryzae (strain ATCC 42149 / RIB 40) OX=510516 GN=mdm34 PE=3 SV=1 MAFNFNWSPLMADASFYTRAQDLLTAALNKSPKPPIIVDDIIVTELNLGSIPPDLEILEIGDLAEDRFRGIFKMSYTGDAFLTLKTRVQANPLNTYLLTRPSFASPLPLAAATPLTIPLQITLSDFKLSGFVILVFSKQKGITVVFRNDPLESLKVSSTFDSIPFVRDFLQREIEAQLRILFMDELPAIIHRLSLRLWVPEYRAGEDIQTQPEQTAGEGPGQDPLASPPQDPVDSLGNALDESEIASLSLDSSVEAHSLFSQKNLLRLGALTDSQRTLSLFTPSIQEVVYRAWTSPSEQGDANGISTAPLSPMLSRTHSQVGSMSSFQDSASIVSSQSRSSASTHTFSGYGLNLGAGRHSKAHSRKRKKRVVDLRRPKTTSDTASVSDESAYTETASNPSVCSAPLPVVNEQPDPITPPLSPESDFRLPAIPERRRASLSRPVPRRDIATEMLRETGGPSAEPPRHRPQPADVDATPRGSLRAHITAQHDNEKQETGPSRQLPSTILPFTDEKSSSSTVDQALVERLAGEIARRMRDEKLMPTSSCGGAFWGRPDHEEYPPPAYGQ