Q9PHR3 AF NFT

Thiol:disulfide interchange protein DsbD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeicscidabfbq6dyr6f6gw5usako4sci6jzssq6l4gjl5lo2cm4dqxq/metadata.json
IPFS of structure file: 
bafybeidiewxrk2pw73kjpmdxotd52gcdieijsmqyftgmoef7vfudkzqlwq/AF-Q9PHR3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xC79303F30ed9532DEe75341b45581c1255f881CE
First NFT owner address (bech32): 
genesis1c7fs8ucwm9fjmmn4xsd52kquzf2l3qwwpm3zd9
Current NFT ID #105674 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
105674
Accession (UniProt):
Q9PHR3
Name::
Thiol:disulfide interchange protein DsbD
Experimental Method:
Predicted structure
Sequence source:
CAMPYLOBACTER JEJUNI SUBSP. JEJUNI SEROTYPE O:2 (STRAIN ATCC 700819 / NCTC 11168)

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 Q9PHR3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q9PHR3|DSBD_CAMJE Thiol:disulfide interchange protein DsbD OS=Campylobacter jejuni subsp. jejuni serotype O:2 (strain ATCC 700819 / NCTC 11168) OX=192222 GN=dsbD PE=3 SV=1 MRIFGIILLSFCLCFASILSLNEAFNVKSNSYNNSISIDIELGKDIYLYSNKLKLYINEKDISSLINLPQSSTRGNENVYYQKLNLALPNLLLERFAKNTTNLIKLEFQGCSEQGLCYNPQTWYFDLISKKDAFEISKPYKAQKTDKKTKIESEESSIANFLATDNFFWILLSFFGYGLLLSLTPCILPMIPILSSLIVAKSNAKFSKKYSFFLSFIYVFFMSLAYAIAGVIASFLGASIQGILQKPIILILFALIFIAFAFAMFGAFRFELPLRFQTFIHKKSEKGKGVVGIAIMGFLSALIVGPCVAAPLAGALIYIANTGNALLGGSALFIMSFGMGIPLLFIGLGLGFIKPGFWMEKVKIFFGFVMLAMAIWILSRIIEENYILIAYGILGVFFSVFMGIFEKSFTIISKIKKSILILILAYSLSIFLGGLFGAKNFLNPLNFNTISASKHALSYDYINNFEQLKQEIQTNTKPIMLDFTASWCENCKLLDELTFSDERIIQKMQNYKLIKVDVSENNNEQIKTMKEFNVFGPPVLIFFENGKEKLKITGFISADDLLKKIEP