P9WGA7 AF NFT

Uncharacterized SURF1-like protein Rv2235

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeiam4hrt2fqngtal3pj2ufrnlrssn3otix3gcbesrzovd4mka3sqoy/metadata.json
IPFS of structure file: 
bafybeigmt2rkge7ts5pjd7l67c4f5tag5jbnt3kntmv6hwo5zqnjohsqxy/AF-P9WGA7-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x6422D1F59417BB8FF3023d32BEd5e42a2DAda950
First NFT owner address (bech32): 
genesis1vs3drav5z7aclucz85eta40y9gk6m22s3a60sx
Current NFT ID #511506 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
511506
Accession (UniProt):
P9WGA7
Name::
Uncharacterized SURF1-like protein Rv2235
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 P9WGA7 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WGA7|Y2235_MYCTU Uncharacterized SURF1-like protein Rv2235 OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2235 PE=1 SV=1 MPRLAFLLRPGWLALALVVVAFTYLCFTVLAPWQLGKNAKTSRENQQIRYSLDTPPVPLKTLLPQQDSSAPDAQWRRVTATGQYLPDVQVLARLRVVEGDQAFEVLAPFVVDGGPTVLVDRGYVRPQVGSHVPPIPRLPVQTVTITARLRDSEPSVAGKDPFVRDGFQQVYSINTGQVAALTGVQLAGSYLQLIEDQPGGLGVLGVPHLDPGPFLSYGIQWISFGILAPIGLGYFAYAEIRARRREKAGSPPPDKPMTVEQKLADRYGRRR