P9WL16 AF NFT

Uncharacterized protein MT2996

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeieysrg6u2chqwpp4ctho7ri7q7x3micl46mwjgp6crzgvreklzb3u/metadata.json
IPFS of structure file: 
bafybeif56g7mwdawgquq34t4hbqyza7jvlqb77xtdeoxbox52uwj7jejxm/AF-P9WL16-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5B92Ca2886C109632BF8623f55418EAeaf0DD1AD
First NFT owner address (bech32): 
genesis1twfv52yxcyykx2lcvgl42svw46hsm5ddlmd3fq
Current NFT ID #514060 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514060
Accession (UniProt):
P9WL16
Name::
Uncharacterized protein MT2996
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 P9WL16 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WL16|Y2926_MYCTO Uncharacterized protein MT2996 OS=Mycobacterium tuberculosis (strain CDC 1551 / Oshkosh) OX=83331 GN=MT2996 PE=4 SV=1 MDLGGVRRRISLMARQHGPTAQRHVASPMTVDIARLGRRPGAMFELHDTVHSPARIGLELIAIDQGALLDLDLRVESVSEGVLVTGTVAAPTVGECARCLSPVRGRVQVALTELFAYPDSATDETTEEDEVGRVVDETIDLEQPIIDAVGLELPFSPVCRPDCPGLCPQCGVPLASEPGHRHEQIDPRWAKLVEMLGPESDTLRGER