P9WKM5 AF NFT

Uncharacterized protein Rv0964c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiahqizhmjbjj67synfwxuk4i2uqndjjb7rdlo7hvjn4xkwcpyk4h4/metadata.json
IPFS of structure file: 
bafybeihc7iwr3f2ipdsigxnq3sub3p4cljj5dcwbs4e7gsx2o4csbqrl2a/AF-P9WKM5-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x362a6d063b1B7E1B6EfD3A9A7CA3612e3FE037AA
First NFT owner address (bech32): 
genesis1xc4x6p3mrdlpkmha82d8egmp9cl7qda2uxz2xy
Current NFT ID #523214 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
523214
Accession (UniProt):
P9WKM5
Name::
Uncharacterized protein Rv0964c
Experimental Method:
Predicted structure
Sequence source:
MYCOBACTERIUM TUBERCULOSIS (STRAIN ATCC 25618 / H37RV)

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 P9WKM5 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WKM5|Y964_MYCTU Uncharacterized protein Rv0964c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv0964c PE=4 SV=1 MGLLGFGGAAAEAAQVATHHTTVLLDHHAGACEAVARAAEKAAEEVAAIKMRLQVIRDAAREHHLTIAYATGTALPPPDLSSYSPADQQAILNTAIRRASNVCWPTPRPPMRIWPRRFDAPPGPCRASRSMPNSAMRHPQCRRCRRRTATLRRSSGGGIR