Q59WH0 AF NFT

Transcriptional adapter 2

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibyk7u7b4zorvrx5c3dbsqpbxxqz4p33pi4ux2yiftx56nv76uila/metadata.json
IPFS of structure file: 
bafybeidsdcjjj6lljo6xbie5gbesckgkrrtptp53icwlwdeaqyapryfuea/AF-Q59WH0-F1-model_v2.pdb
First NFT owner address (eip-55): 
0xb3c0C983Fc44934AC589D7131C08a72544EBB92E
First NFT owner address (bech32): 
genesis1k0qvnqlugjf543vf6uf3cz98y4zwhwfw5hvdqx
Current NFT ID #9193 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
9193
Accession (UniProt):
Q59WH0
Name::
Transcriptional adapter 2
Experimental Method:
Predicted structure
Sequence source:
CANDIDA ALBICANS (STRAIN SC5314 / ATCC MYA-2876)

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 Q59WH0 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q59WH0|ADA2_CANAL Transcriptional adapter 2 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=ADA2 PE=3 SV=2 MDSRTKLFHCDVCSSDCTNRIRIQCAICTDYDLCVPCFAAGLTTGDHKPWHDYQIIEQNTYPIFDRDWGADEELLLIQGCETSGLGNWADIADHIGNRSKEEVAEHYFKIYLESKDYPLPEMNKDFTDVSPLQFLEERKERLEKRKNIPLPPPRGKPVASVPLCHEIQGYMPGRLEFDHEAENEAEIPIKDMVFDPEDSANDIDLKLTILDIYNSRLTTRAERKRVMILNHLLDYRKNIGSDKRKSKEEKDLLKKINAFIRILTPEDFESFSRDLLTELKCRMKIQQLQTWRRNGITTLEDGAKFEKDKVIRAAHYQRMGNGTGSGRHSQTPGLTNGNSFNGNGHRNKFSPQPEFRSKSTTARAPLDISHAADFELLSAEEKQLCATLRILPKPYLAIKNQLMREAVKNNGVLKKKDARQALKIDVNKASKIYEFFVHMGWCSQG