O42236 AF NFT

Semaphorin-3C

MOLNFT AF v1 smart contract in GenesisL1 blockchain: 
0xBf7491af3407816DFa88a5EA4c82e8A2B1D721eD
IPFS of NFT metadata: 
bafybeibt5wxrmj3w3d4v7lhg27lfimyyl74xpnshfov4kneie7kscmr5pa/metadata.json
IPFS of structure file: 
bafybeiaqme47wkjs5lmolwybt426d7l4zix5n6mcchbenxrg2of5524irq/AF-O42236-F1-model_v2.pdb
First NFT owner address (eip-55): 
0x5e58272ea25a05e06901A2eAe9f63939b344e0c6
First NFT owner address (bech32): 
genesis1tevzwt4ztgz7q6gp5t4wna3e8xe5fcxxnzlgjh
Current NFT ID #425817 owner (web3):

First owner GALLERY | EVM EXPLORER | COSMOS EXPLORER

MOLNFT AF v1

NFT id:
425817
Accession (UniProt):
O42236
Name::
Semaphorin-3C
Experimental Method:
Predicted structure
Sequence source:
GALLUS GALLUS

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 O42236 research and analysis (ICN3D with VR)

FASTA sequences

>sp|O42236|SEM3C_CHICK Semaphorin-3C OS=Gallus gallus OX=9031 GN=SEMA3C PE=2 SV=1 MAVLALHAVFGIFIYFSSVKGSSQPQARVFLTFNELQETKTSEYHRISHSPLDYRILLMDEDQDRIYVGSKDHILSLNINNISQDPLSIFWPASANKVEECKMAGKDPTHGCGNFVRVIQSYNRTHLYVCGSGAFSPVCVYVNRGRRSEEQIFKIDSKCESGKGRCSFNPNVNTVSVMINEELFSGMYIDFMGTDAAIFRSLTKRNAVRTDQHNSKWLSEPIFVDAHVIPDGTDPNDAKIYFFFKERLTDNSGSTKQIHSMIARICPNDTGGQRSLVNKWTTFLKARLVCSVMDEDGTETYFDELEDVFLLETDNPRTTLVYGIFTTSSSIFKGSAVCVYHLSDIQTVFNGPFAHKEGPNHQLIPYQGRIPYPRPGTCPGGAFTPNMRTTKEFPDDVVTFIRNHPLMYNPIYPIHKRPLIIRIGTDYKYTKIAVDRVNAADGRCHVLFLGTDQGTVQKVVVLPTNFSASGELILEELEVFQSNSPITTMKISSKKQQLYVSSEEGVTQVPLHRCRIYGTACADCCLARDPYCAWDGNSCSRFYPTGKRRSRRQDVRHGNPLTQCRGFNLKAYRNAAETVQYGVKNNTTFLECTPKSPQASIKWLLQKDNDRRKEVKLSERIIATEQGLLIRSVQDSDRGLYHCIATENNFKQTLAKINFKVLDTEMVAYMTDKWSPWTWASSVRALQFHPKDFVGAFSHSEMQMINQYCKDSRQQGQRREEPQKMRGDYSKLKALINSRKSRNRRNQLPAS