Datasets:
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"field_id": "F037",
"field": "computational biology",
"directions": [
{
"direction_id": "G0",
"name": "Small-molecule design and optimization",
"scope": "Generate or modify candidate small molecules to satisfy design constraints such as protein targets, structural exemplars, or properties. Encompasses both target-guided and non-target-led design."
},
{
"direction_id": "G1",
"name": "Protein and antibody design",
"scope": "Propose protein sequences and candidate antibodies with desired structures, properties, or binding capabilities. Includes the full range of antibody sequence, structure, and antigen-interface design."
},
{
"direction_id": "G2",
"name": "Sequence-based microbial identification",
"scope": "Identify origins, pathogens, hosts, or types from microbial or viral sequence evidence."
},
{
"direction_id": "G3",
"name": "Biological interaction characterization",
"scope": "Infer relationships between biological entities or characterize where binding occurs and how strong it is. Collectively encompasses unknown network edges, protein–small-molecule binding strength, and localization of protein binding residues; an individual study need not produce all of these outputs."
},
{
"direction_id": "G4",
"name": "Protein structure inference from sequence",
"scope": "Infer protein structural features or folds from given amino-acid sequences, and improve the inputs and combinations of predictors used for that inference."
},
{
"direction_id": "G5",
"name": "Genomic regulatory modeling",
"scope": "Identify regulatory sequence features and model their relationships to epigenetic states or gene expression."
},
{
"direction_id": "G6",
"name": "Functional and activity annotation of biological entities",
"scope": "Assign attributes such as function or activity to existing genes, gene sets, proteins, or peptides. Encompasses entity annotation using network evidence and protein and peptide property prediction using sequence evidence."
},
{
"direction_id": "G7",
"name": "Genomic and transcriptomic marker discovery",
"scope": "Select compact sets of variants or genes indicative of phenotypes, cell identity, or biological states, including research on the stability of that selection."
},
{
"direction_id": "G8",
"name": "Single-cell representation and integration",
"scope": "Recover reusable latent cell structure from single-cell molecular profiles and relate datasets, cell populations, or modalities."
},
{
"direction_id": "G9",
"name": "Small-molecule property prediction",
"scope": "Learn chemical representations or similarities of existing small molecules to predict their properties."
},
{
"direction_id": "G10",
"name": "Molecular prediction of treatment response",
"scope": "Use drug, genomic, or longitudinal molecular information to predict treatment effectiveness in cellular or patient contexts, rather than molecular binding alone."
}
]
}
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