Q07913 Non-structural maintenance of chromosomes element 1 MolNFT, Molecular NFT on GenesisL1

Non-structural maintenance of chromosomes element 1

MOLNFT AF v1 smart contract in GenesisL1 blockchain:

0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD

IPFS of NFT metadata:

bafybeiakhhtp5glvezwbxry7cvabdseq6k6kugka52wkko2cwhebj7ddqu/metadata.json

IPFS of structure file:

bafybeideughph5r7jophlso5k4in4ot7a6areorpdw2iuliontz6takfka/AF-Q07913-F1-model_v2.pdb

First NFT owner address (eip-55):

0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c

First NFT owner address (bech32):

genesis1afvvw56w2uq64qmsurawkxdhu9r98e5uajuhsx

Current NFT ID #270491 owner (web3):

0xEa58c7534E5701aA8370E0fAEb19b7e14653e69c

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
270491
Accession (UniProt):
Q07913
Name::
Non-structural maintenance of chromosomes element 1
Experimental Method:
Predicted structure
Sequence source:
SACCHAROMYCES CEREVISIAE (STRAIN ATCC 204508 / S288C)

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 Q07913 research and analysis (ICN3D with VR)

FASTA sequences

>sp|Q07913|NSE1_YEAST Non-structural maintenance of chromosomes element 1 OS=Saccharomyces cerevisiae (strain ATCC 204508 / S288c) OX=559292 GN=NSE1 PE=1 SV=1 MEVHEEQVSAPVTGDATAKYLLQYILSARGICHENALILALMRLETDASTLNTEWSIQQWVDKLNDYINAINVKLNLLGYKIIRINHGIGRNAVTLKAKQNFESFEDNTAIRAHNNDYAVLQSIVLPESNRFFVYVNLASTEETKLATRFNQNEIEFMKWAIEQFMISGETIVEGPALETSIIVKEVNRILVAATGDSNLAKWRKFSTFTVGSTNLFQFQELTATDIEDLLLRLCELKWFYRTQEGKFGIDLRCIAELEEYLTSMYNLNTCQNCHKLAIQGVRCGNESCREENEETGENSLSQIWHVDCFKHYITHVSKNCDRCGSSLITEGVYVI

Q07913 AF NFT

MOLNFT AF v1

NFT data

MOLNFT Q07913 research and analysis (ICN3D with VR)

FASTA sequences

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