List of protein structure prediction softwareCASPthreadingcomparative modelingmetapredictorstemplate free foldingNot Availabledoi:doi:10.1002/9780470015902.a0003031HHpredScience
CAMEO CAMEO (Continuous Automated Model EvaluatiOn) is a project for the automated evaluation of methods predicting macromolecular structure. It continuously assesses the performance of automated protein structure prediction servers CAPRI The Critical Assessment of PRediction of Interactions (CAPRI) is a comm...
ancGWAS: post GWAS association with protein-protein interaction networks http://www.cbio.uct.ac.za/~emile/software.html Gene network reconstruction For a set of TFs: https://sourceforge.net/projects/aracne-ap/ From PPI or motif sharing: https://github.com/davidvi/pypanda (is also an int...
4036 DEEP MANIFOLD TRANSFORMATION FOR PROTEIN REPRESENTATION LEARNING 10200 DEEP NEIGHBOR LAYER AGGREGATION FOR LIGHTWEIGHT SELF-SUPERVISED MONOCULAR DEPTH ESTIMATION 2127 DEEP NEURAL NETWORK MODELS TRAINED WITH A FIXED RANDOM CLASSIFIER TRANSFER BETTER ACROSS DOMAINS 6650 Deep Optimization of relay networks -...
EBI Protein Data Bank in Europe Open Biology ECO Open Energy EconData from UMD Open Economics Economic Freedom of the World Data Open Economics Edmonton, AB, Canada Open Government EDRM Enron EMail of 151 users, hosted on S3 Open Social Networks ...
Enables to explore the transcriptional regulatory networks of noncoding RNAs (ncRNAs) and protein-coding genes (PCGs). ChIPBase is an open database that integrates many ChIPseq peak datasets of trans-acting factors, including transcription factors (TFs), transcription cofactors (TCFs), chromatin-remod...
Here, a “deep random forest” with five layers is used to improve predictions of which residues (amino acids) in a protein are physically interacting which each other. This is useful for predicting the overall structure of the protein (a very hard problem.)...
Single-sequence protein structure prediction using a language model and deep learning. Nat. Biotechnol. 2022, 40, 1617–1623. [Google Scholar] [CrossRef] Zhou, Z.; Tam, V.W.; Lam, E.Y. SignBERT: A BERT-Based Deep Learning Framework for Continuous Sign Language Recognition. IEEE Access ...
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