P9WLR4 AF NFT

Uncharacterized protein MT1877

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieuqxv45hb4wbz23yeri45an3ucvq7i5r3t2e4rmwegxyeqznx5xq/metadata.json
IPFS of structure file: 
bafybeiem26xnnz4robsfzv4kcb2kpzpzpkrv5fmkst7fm445oubkiicbwq/AF-P9WLR4-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x4Be60eA123D98163bEB8D7ecd4ea6B22Cc5c42ca
First NFT owner address (bech32): 
genesis1f0nqagfrmxqk804c6lkdf6ntytx9csk25fp7q7
Current NFT ID #509556 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
509556
Accession (UniProt):
P9WLR4
Name::
Uncharacterized protein MT1877
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN CDC 1551 / OSHKOSH)

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 P9WLR4 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLR4|Y1829_MYCTO Uncharacterized protein MT1877 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT1877 PE=4 SV=1 MGEVRVVGIRVEQPQNQPVLLLREANGDRYLPIWIGQSEAAAIALEQQGVEPPRPLTHDLIRDLIAALGHSLKEVRIVDLQEGTFYADLIFDRNIKVSARPSDSVAIALRVGVPIYVEEAVLAQAGLLIPDESDEEATTAVREDEVEKFKEFLDSVSPDDFKAT