P9WL23 AF NFT

Uncharacterized protein Rv2915c

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeigpbdqf5hmpj7fy4o3k4bv6x43ai4zf2vljbqj4rygbtnimo6rql4/metadata.json
IPFS of structure file: 
bafybeiem34faf2nn2iysnz3qhispxmyaxmbbb7pfc2uglc6ojkzgoiymem/AF-P9WL23-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xE978529ba527BfA750887e738022a7611e695635
First NFT owner address (bech32): 
genesis1a9u99xa9y7l6w5yg0eecqg48vy0xj4349kwzs3
Current NFT ID #514028 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1_w

NFT id:
514028
Accession (UniProt):
P9WL23
Name::
Uncharacterized protein Rv2915c
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 P9WL23 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P9WL23|Y2915_MYCTU Uncharacterized protein Rv2915c OS=Mycobacterium tuberculosis (strain ATCC 25618 / H37Rv) OX=83332 GN=Rv2915c PE=1 SV=1 MKRVDTIRPRSRAVRLHVRGLGLPDETAIQLWIVDGRISTEPVAGADTVFDGGWILPGLVDAHCHVGLGKHGNVELDEAIAQAETERDVGALLLRDCGSPTDTRGLDDHEDLPRIIRAGRHLARPKRYIAGFAVELEDESQLPAAVAEQARRGDGWVKLVGDWIDRQIGDLAPLWSDDVLKAAIDTAHAQGARVTAHVFSEDALPGLINAGIDCIEHGTGLTDDTIALMLEHGTALVPTLINLENFPGIADAAGRYPTYAAHMRDLYARGYGRVAAAREAGVPVYAGTDAGSTIEHGRIADEVAALQRIGMTAHEALGAACWDARRWLGRPGLDDRASADLLCYAQDPRQGPGVLQHPDLVILRGRTFGP