P9WLN3 AF NFT

Uncharacterized protein Rv2004c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeig6n2wr7uk6nq7qd2vt62vl3bcup5nvzlwcdxwoyyy3bpahb5gdbm/metadata.json
IPFS of structure file: 
bafybeiaayqf3l6rg74aqen3fosrj4j3n3x6flyrduiwh4oriix5ltkishq/AF-P9WLN3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xABb05f7Ce29D376F9d540A21706087f54A0Ee56d
First NFT owner address (bech32): 
genesis14wc97l8zn5mkl825pgshqcy8749qaetd9gm604
Current NFT ID #510434 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
510434
Accession (UniProt):
P9WLN3
Name::
Uncharacterized protein Rv2004c
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 P9WLN3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLN3|Y2004_MYCTU Uncharacterized protein Rv2004c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2004c PE=1 SV=1 MDSPTNDGTCDAHPVTDEPFIDVRETHTAVVVLAGDRAFKAKKPVVTDFCDFRTAEQRERACIREFELNSRLAAQSYLGIAHLSDPSGGHAEPVVVMRRYRDKQRLASMVTAGLPVEGALDAIAEVLARFHQRAQRNRCIDTQGEVGAVARRWHENLAELRHHADKVVSGDVIRRIEHMVDEFVSGREVLFAGRIKEGCIVDGHADLLADDIFLVDGEPALLDCLEFEDELRYLDRIDDAAFLAMDLEFLGRKDLGDYFLAGYAVRSGDTAPASLRDFYIAYRAVVRAKVECVRFSQGKPEAAADAVRHLIIATQHLQHATVRLALVGGNPGTGKSTLARGVAELVGAQVISTDDVRRRLRDCGVITGEPGVLDSGLYSRANVVAVYQEALRKARLLLGSGHSVILDGTWGDPQMRACARRLAADTHSAIVEFRCSATVDVMADRIVARAGGNSDATAEIAAALAARQADWDTGHRIDTAGPRERSVGQAYHIWRSAI