P43079 AF NFT

Transcription factor CPH1

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeifgrdv75idyaqhtpjpkantho5dgs25nht2ab7wqk7ix3fjdfitukm/metadata.json
IPFS of structure file: 
bafybeihphmei3lmsgawxqoz5tguzv23yfgsjnlq4trvxssot5pcsh4zxqi/AF-P43079-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x86909E648E70f97B557114F43d121a6C1146e9A3
First NFT owner address (bech32): 
genesis1s6gfueywwruhk4t3zn6r6ys6dsg5d6drzh24vu
Current NFT ID #75630 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
75630
Accession (UniProt):
P43079
Name::
Transcription factor CPH1
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 P43079 research and analysis (ICN3D with VR)

FASTA sequences

>sp|P43079|CPH1_CANAL Transcription factor CPH1 OS=Candida albicans (strain SC5314 / ATCC MYA-2876) OX=237561 GN=CPH1 PE=1 SV=3 MSITKTYNGDPTSLVPTQSVKESLRLIEDLKFFLATAPANWQENQVIRRYYLNHDEGFVSCVYWNNLYFITGTDIVRCIVYKFEHFGRKIIDRKKFEEGIFSDLRNLKCGADAILEPPRSEFLEFLFKNSCLRTQKKQKVFFWFNVPHDKLMADALERDLKKEKMGQRPTTMAHREPALSFHYDESSSLYTQLGKHMETQKRINDAATSSTSNTATTLTDTGVSSGLNNTTSGGGSDSATSTHNNNEASTKPSNGSEKSSPEYTTTARGRDEFGFLNEATPSQYKANSDYEDDFPLDYINQTTQNSEDYITLDANYQAGSYANMIEDNYDSFLDATLFIPPSLGVPTGTAATATTSNQVAFNDEYLIEQAQPIRTPLPPISSSTISGLLQPKSAAKFFSLQSANGGEEFFPAYQNDPSTANAGFVPPISAKYATQFATRQVATPTYIKAIPQTGAAAATGNGGQPQQYYDQATGNAFYPAEIPVSYNVVHPESEYWTNNSGAVATTAAATAPMYDASGFPIPINQSYMVMNEHEMVPYQYMNSNGAMIGMIPPHQQQQQQQQQIAMGYQSMLRQQQQQQQQQQQQQPSSTMTKKKKQIHSFNNNKSLSSNGGGITKKSHDNNNHSKVKTSYGSLNDVVNSKVTKVINKEEVKQSQT