B9WBE5 AF NFT

Mitochondrial distribution and morphology protein 10

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeie6c4b3k35q2hs22cravhq5rf6c76q23ywoyqst23yugv2o37a4x4/metadata.json
IPFS of structure file: 
bafybeibaexii4aujfvv24rozgciz5w7t3bzchh7dj2bx4m7awgxr2tjwg4/AF-B9WBE5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x01E338F066B2D1894d1a54572707E2C1B8DDd87F
First NFT owner address (bech32): 
genesis1q83n3urxktgcjng623tjwplzcxudmkrl9f3hk0
Current NFT ID #227705 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
227705
Accession (UniProt):
B9WBE5
Name::
Mitochondrial distribution and morphology protein 10
Experimental Method:
Predicted structure
Sequence source:
Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841)

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 B9WBE5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9WBE5|MDM10_CANDC Mitochondrial distribution and morphology protein 10 OS=Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841) OX=573826 GN=MDM10 PE=3 SV=1 MYTYMEYLQKCFYKSTNWNEDNIYSNITATSQALLDFPIPNGFKIDSSSKTTDYSASSFTLSNHHQINGSLAYLYSSIPLTNTMGTKDVSLQDAIAGFRIIEPSVGLSSKLTNNIIQNRSSLLYGRMYFPGSALEAMIIKRITKNSQLLIKCVNNPHLEKNGTMIVYLQNNTAKYSRELIYSTNEALIGLRCLYNLGNDATSHNFPHVNPAVIPKFDNSVISIGTELWYAARTMSPGLSAALRYSTRSTSTGKPLTMTLAINPIVGHISSTYTVKTSVASTFCSKYDFNVFSYASNLSLGFELYSYANKKKNTFPSFEHHEIYSSSEENKYLKKHPELQRHHRVPIKSHKYQGNRTIINPIQNLDNVYHINPTLLSSTTNSPTNNDNSNTSETVTAAFQNLVNESDFSSVFKFSTSLNDKVVKILWEGRLKDFLVSTGVKLSLNPITNTPEFNKLGISFSYAL