Q1CK62 AF NFT

Putative multidrug resistance protein MdtD

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeidr4vwrs3ytav3xhsdxvvw4xmlgfsdotppxekjdvojitdo3oszwo4/metadata.json
IPFS of structure file: 
bafybeibqxxkqi2ekex7cokl6i47np6bg4fnpta45c7lzfa7seekyps6nga/AF-Q1CK62-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5fa8aF910eDA471127Dc4EC5b737223f437dc3e0
First NFT owner address (bech32): 
genesis1t752lygwmfr3zf7ufmzmwdez8aphmslquevs62
Current NFT ID #228190 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
228190
Accession (UniProt):
Q1CK62
Name::
Putative multidrug resistance protein MdtD
Experimental Method:
Predicted structure
Sequence source:
Yersinia pestis bv. Antiqua (strain Nepal516)

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 Q1CK62 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q1CK62|MDTD_YERPN Putative multidrug resistance protein MdtD OS=Yersinia pestis bv. Antiqua (strain Nepal516) OX=377628 GN=mdtD PE=3 SV=1 MVTQATSVRWQLWIVAFGFFMQTLDTTIVNTALPSIAASLGENPLRMQSVIVSYVLTVAVMLPASGWLADRIGVKWVFFSAIILFTFGSLMCAQSATLNELILSRVLQGVGGAMMVPVGRLTVMKIVPREQYMAAMAFVTLPGQIGPLVGPALGGFLVEFASWHWIFLINLPVGVIGALATLLLMPNHKMSTRRFDISGFIMLAIGMATLTLALDGHTGLGLSPLAIAGLILCGVIALGSYWWHALGNRFALFSLHLFKNKIYTLGLVGSMSARIGSGMLPFMTPIFLQIGLGFSPFHAGLMMIPMIIGSMGMKRIIVQVVNRFGYRRVLVNATLLLAVVSLSLPLVAIMGWTLLMPVVLFFQGMLNALRFSTMNTLTLKTLPDRLASSGNSLLSMAMQLSMSIGVSTAGILLGTFAHHQVATNTPATHSAFLYSYLCMAIIIALPALIFNRVPPDTGANRHLAR