P9WPR0 AF NFT

Uncharacterized protein MT2965

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeihjpdbnrt76zxp2slolupyfuc3kp54zpfyrs473mrkqmafrtbpmdy/metadata.json
IPFS of structure file: 
bafybeih6xbmaltg63v5f2yg3meh76t2hnpfzopo6le53rp2im6ybftefqq/AF-P9WPR0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xba10dCAB85f8E44298b6025C21224eB1B2a215c2
First NFT owner address (bech32): 
genesis1hggde2u9lrjy9x9kqfwzzgjwkxe2y9wzg37e26
Current NFT ID #513962 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
513962
Accession (UniProt):
P9WPR0
Name::
Uncharacterized protein MT2965
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 P9WPR0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WPR0|Y2897_MYCTO Uncharacterized protein MT2965 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT2965 PE=3 SV=1 MALGRAFSVAVRGLDGEIVEIEADITSGLPGVHLVGLPDAALQESRDRVRAAVTNCGNSWPMARLTLALSPATLPKMGSVYDIALAAAVLSAQQKKPWERLENTLLLGELSLDGRVRPVRGVLPAVLAAKRDGWPAVVVPADNLPEASLVDGIDVRGVRTLGQLQSWLRGSTGLAGRITTADTTPESAADLADVVGQSQARFAVEVAAAGAHHLMLTVPPGVGKTMLAQRLPGLLPSLSGSESLEVTAIHSVAGLLSGDTPLITRPPFVAPHHSSSVAALVGGGSGMARPGAVSRAHRGVLFLDECAEISLSALEALRTPLEDGEIRLARRDGVACYPARFQLVLAANPCPCAPADPQDCICAAATKRRYLGKLSGPLLDRVDLRVQMHRLRAGAFSAADGESTSQVRQRVALAREAAAQRWRPHGFRTNAEVSGPLLRRKFRPSSAAMLPLRTALDRGLLSIRGVDRTLRVAWSLADLAGRTSPGIDEVAAALSFRQTGARR