A1KT27 AF NFT

Elongation factor 4

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeia3g427yplcm56jt2mdbfa5yqiw3aj3hozeybps5zarqnzsdhm7za/metadata.json
IPFS of structure file: 
bafybeiehjuoowm63hrhhjsvtfmvar7s4puzroxmxcj4ydnznszus3djedi/AF-A1KT27-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xBE81563aE073ce9CCBbFCd4eb1F3935F14a0001F
First NFT owner address (bech32): 
genesis1h6q4vwhqw08fejale48truuntu22qqqlfyjfyf
Current NFT ID #209597 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
209597
Accession (UniProt):
A1KT27
Name::
Elongation factor 4
Experimental Method:
Predicted structure
Sequence source:
NEISSERIA MENINGITIDIS SEROGROUP C / SEROTYPE 2A (STRAIN ATCC 700532 / DSM 15464 / FAM18)

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 A1KT27 research and analysis (ICN3D with VR)

FASTA sequences

>sp|A1KT27|LEPA_NEIMF Elongation factor 4 OS=Neisseria meningitidis serogroup C / serotype 2a (strain ATCC 700532 / DSM 15464 / FAM18) OX=272831 GN=lepA PE=3 SV=1 MKNIRNFSIIAHIDHGKSTLADRFIQYCGGLDLREMSTQVLDSMDIEKERGITIKAQTAALNYKARDGQVYQLNLIDTPGHVDFSYEVSRSLSACEGALLVVDASQGVEAQTVANCYTAIDLGVEVVPVLNKIDLPAADPERVEQEIEDIIGIDAVGAVQCSAKSGIGVEDVLEEIVAKIPAPTGDENAPLQAVIVDSWFDNYVGVVMLIRVKNGTIKLKDKVRFMSTKAETQVEQLGVFTPKSVQKQELKAGEVGFLITGVKELGQAKVGDTVTLVANPATEPLPGFQEVQSQVFAGLYPVESHDYEALRDALEKLQLNDASLKFEPEVSQALGFGFRCGFLGLLHLEIVQERLEREFDMDLITTAPTVVYEVVLKSGEKIEVENPSKLPDIGSIETILEPIITATILVPQEYVGNVMTLCNQKRGVQVNMQYMGRQVMLTYDLPMNEVVMDFFDKLKSTSRGYASLDYHFKEFQPSDLIKLDIMVNGEKVDALSLIVHRQSAVHRGRELASKMRELIPRQMFDIAVQAAIGSQIIARENVKALRKNVLAKCYGGDITRKKKLLEKQKAGKRRMKQVGNVEIPQSAFLAILQVSDK