P0C150 AF NFT

Protoheme IX farnesyltransferase, mitochondrial

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigjizq3advharxidr4rtepkxcnmdlm6koewhrwubopkqxbq5juadi/metadata.json
IPFS of structure file: 
bafybeid5jow7u6hgswbp37p4mlj7w4gkayvmwqbt37k4vnkrtadvh6csle/AF-P0C150-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x3098b7aCb5AF3236652Aa92862aD247da4A4e55b
First NFT owner address (bech32): 
genesis1xzvt0t944uervef24y5x9tfy0kj2fe2m8rsx0s
Current NFT ID #73341 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
73341
Accession (UniProt):
P0C150
Name::
Protoheme IX farnesyltransferase, mitochondrial
Experimental Method:
Predicted structure
Sequence source:
MAGNAPORTHE ORYZAE (STRAIN 70-15 / ATCC MYA-4617 / FGSC 8958)

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 P0C150 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P0C150|COX10_MAGO7 Protoheme IX farnesyltransferase, mitochondrial OS=Magnaporthe oryzae (strain 70-15 / ATCC MYA-4617 / FGSC 8958) OX=242507 GN=COX10 PE=3 SV=1 MPGPRASLPSLSAVDNVCWRCCSSSSGRPVPGQRLRGFAIANQARPLSTSPVRPLRFGATTTVRAAASQSPRPNGAYFLSNVLLERFGGFQFSPRSRAIAGTSGSNISNTKRNATVAAADIPPSTSTPRPQVDEELPPHRRRQAARRTAEQAASASSNAPSEAAQTTPVTPPPAAPSGEIPPDASSILSNAAAAQPAQSLRRRLTTLLALSKPRLTMLVVLSAMVPYALYPVPDFLTPGVSAPSLSPLTLLFLTTGTTLCSAAANALNMIYEPKTDALMSRTRTRPLVRNLVTTRAAVCFALFCATTGILALQFGVNPTVAFLGAANIVLYAGIYTPLKRVSALNTWVGAVVGGIPPLMGWAAAAGESAVGDGSWRELLLAPDGSSAGGWLFAALLFTWQFPHFMALSWGVRDEYRAAGLRMLAWTNPARNARVALRYGLVFVPLCVGLCAVGVTEWSFAVTSLPVNLWLARESIRFWQTQGAAGSARGLFWASVWHLPVVMVLALLQKKGMWGRVWRSVFGEPDLDDDLASDDGWEYLDESEEPPAVTTRS