scholarly article | Q13442814 |
P818 | arXiv ID | 1702.06001 |
P356 | DOI | 10.1103/PHYSREVLETT.119.208101 |
P698 | PubMed publication ID | 29219382 |
P50 | author | Michael P. Brenner | Q57599255 |
Alpha A Lee | Q63850342 | ||
P2093 | author name string | Lucy J Colwell | |
P2860 | cites work | Neural networks and physical systems with emergent collective computational abilities | Q24632329 |
Weak pairwise correlations imply strongly correlated network states in a neural population | Q24680540 | ||
Extended-connectivity fingerprints | Q29616639 | ||
Chemical genetics of Plasmodium falciparum | Q29617272 | ||
Potts Hamiltonian models of protein co-variation, free energy landscapes, and evolutionary fitness. | Q30395457 | ||
Neuronal couplings between retinal ganglion cells inferred by efficient inverse statistical physics methods | Q30489619 | ||
Spin models inferred from patient-derived viral sequence data faithfully describe HIV fitness landscapes | Q30746334 | ||
Is experimental data quality the limiting factor in predicting the aqueous solubility of druglike molecules? | Q30830435 | ||
Statistical practice in high-throughput screening data analysis | Q31032001 | ||
QSAR--how good is it in practice? Comparison of descriptor sets on an unbiased cross section of corporate data sets | Q31061959 | ||
Improving landscape inference by integrating heterogeneous data in the inverse Ising problem | Q31144691 | ||
Coevolutionary information, protein folding landscapes, and the thermodynamics of natural selection | Q34120139 | ||
Reoptimization of MDL keys for use in drug discovery | Q34160151 | ||
Translating HIV sequences into quantitative fitness landscapes predicts viral vulnerabilities for rational immunogen design | Q34334803 | ||
Coevolutionary Landscape Inference and the Context-Dependence of Mutations in Beta-Lactamase TEM-1. | Q34497324 | ||
Perturb-Seq: Dissecting Molecular Circuits with Scalable Single-Cell RNA Profiling of Pooled Genetic Screens | Q34547509 | ||
Predicting protein-ligand affinity with a random matrix framework | Q37473901 | ||
Detecting coevolving positions in a molecule: why and how to account for phylogeny | Q37939077 | ||
Virtual-screening workflow tutorials and prospective results from the Teach-Discover-Treat competition 2014 against malaria | Q41588963 | ||
Solubility challenge: can you predict solubilities of 32 molecules using a database of 100 reliable measurements? | Q46553438 | ||
Scores of extended connectivity fingerprint as descriptors in QSPR study of melting point and aqueous solubility | Q46605521 | ||
ESOL: estimating aqueous solubility directly from molecular structure. | Q51997302 | ||
Archetypal energy landscapes | Q59065364 | ||
P433 | issue | 20 | |
P407 | language of work or name | English | Q1860 |
P304 | page(s) | 208101 | |
P577 | publication date | 2017-11-16 | |
P1433 | published in | Physical Review Letters | Q2018386 |
P1476 | title | Optimal Design of Experiments by Combining Coarse and Fine Measurements | |
P478 | volume | 119 |
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