Q7MRV4 AF NFT

Probable transcriptional regulatory protein WS1016

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeib2qvbhsx7oi7oo5xdq7szqoo3pinedrkibj56wmo7elgc54xp66y/metadata.json
IPFS of structure file: 
bafybeibzsbsj3lvsqme2un2zqva36e4sneltzxrxbrd4immb73c5me4eg4/AF-Q7MRV4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xbff27Dc0a932A6E0d9Fe883AAbD1BF27bB95A69F
First NFT owner address (bech32): 
genesis1hle8ms9fx2nwpk073qa2h5dly7aetf5lctcm7h
Current NFT ID #503680 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
503680
Accession (UniProt):
Q7MRV4
Name::
Probable transcriptional regulatory protein WS1016
Experimental Method:
Predicted structure
Sequence source:
WOLINELLA SUCCINOGENES (STRAIN ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W)

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 Q7MRV4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q7MRV4|Y1016_WOLSU Probable transcriptional regulatory protein WS1016 OS=Wolinella succinogenes (strain ATCC 29543 / DSM 1740 / LMG 7466 / NCTC 11488 / FDC 602W) OX=273121 GN=WS1016 PE=3 SV=1 MGRAFEYRRAAKEKRWDKMSKLFPKLGKLITIAAKEGGADPEMNAKLRTAITNAKAQNMPKDNIDAAIKRALGKDGVVITEVNYEAKGPHGVLLFIECATDNPTRTVANVKSYINKIGGQLLQNGSLEFMFSHKAVFEFPKSHLHMDREELELVLIDAGLEELDEQEETLYVYGDYTQFGSLSSTLEELKIDVTKASLQRIANTPVEFSEEQLADIEKLIDRIEDDDDVQAVFTNIA