P9WLL3 AF NFT

Uncharacterized protein Rv2076c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigor4jvfz6kow5gx5ojyp2ozcncuqxsh3yptbgybkyp3crn4wrslm/metadata.json
IPFS of structure file: 
bafybeih4kkgz7ast33nyi4lvssdeap7r4in46hptmll2sk27w55qvlzwta/AF-P9WLL3-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x245Fa93d080F0Ea0899525993BC10b55e79b454D
First NFT owner address (bech32): 
genesis1y306j0ggpu82pzv4ykvnhsgt2hnek32d227zyn
Current NFT ID #510773 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
510773
Accession (UniProt):
P9WLL3
Name::
Uncharacterized protein Rv2076c
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 P9WLL3 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WLL3|Y2076_MYCTU Uncharacterized protein Rv2076c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2076c PE=4 SV=1 MVVCLIGGVAGSLWPRPAGRLRGGCYFAFMGVAWVLLAISAIANAVKGSLWWDIWSLGLLVLIPAVVYGKMRRSRRISSDQDR