B9WHK1 AF NFT

Methylthioribulose-1-phosphate dehydratase

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiefavirqwhgqvuto52ypmflyxyt5em7oiverxebxg6ynjbyqsqvmm/metadata.json
IPFS of structure file: 
bafybeibe5uacqeljgvkwpmomdk2nn5rsdlzwlzn4ls2q72yvdulbyvdjoi/AF-B9WHK1-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xF2140DbFaBeced235E4d70AD08C0B9886Aa69895
First NFT owner address (bech32): 
genesis17g2qm0atankjxhjdwzks3s9e3p42dxy433q8pq
Current NFT ID #248025 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
248025
Accession (UniProt):
B9WHK1
Name::
Methylthioribulose-1-phosphate dehydratase
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 B9WHK1 research and analysis (ICN3D with VR)

FASTA sequences

>sp|B9WHK1|MTNB_CANDC Methylthioribulose-1-phosphate dehydratase OS=Candida dubliniensis (strain CD36 / ATCC MYA-646 / CBS 7987 / NCPF 3949 / NRRL Y-17841) OX=573826 GN=MDE1 PE=3 SV=1 MSAPCHCQHADDDYSSIKKLSVLSPELQQEFKDPNHPANLICELCRLFYDNNWVTGTGGGISIRDVDGPNPNLVYIAPSGVQKERIQPWEMFLVELPQEKILRTPNDIPKELTKSYKYKPSACTPLFISCYTLRNAGACIHTHSQHAVMVTLFFENEKEFVISHIEQIKALPKLKYNQETGKIEKIGSMEYYDKLVIPIIENTPHEEDLTDSLQEAIKNYPGASAVLVRRHGIYVWGETVWKAKVYNEAIDYLLELAVKMKLAGIPLVKEE