Potency-directed similarity searching using support vector machines.

Summary

Potency-directed similarity searching using support vector machines. is a scholarly conference abstract^[1].

Key Facts

• Potency-directed similarity searching using support vector machines. authored Jürgen Bajorath^[2].
• Potency-directed similarity searching using support vector machines. authored Anne Mai Wassermann^[3].
• Potency-directed similarity searching using support vector machines. authored Kathrin Heikamp^[4].
• Potency-directed similarity searching using support vector machines.'s instance of is recorded as scholarly conference abstract^[5].
• Potency-directed similarity searching using support vector machines.'s copyright license is recorded as Creative Commons Attribution 2.0 Generic^[6].
• Potency-directed similarity searching using support vector machines.'s page is recorded as P12-P12^[7].
• Potency-directed similarity searching using support vector machines.'s DOI is recorded as 10.1186/1758-2946-4-S1-P12^[8].
• Potency-directed similarity searching using support vector machines.'s issue is recorded as Suppl 1^[9].
• Potency-directed similarity searching using support vector machines.'s volume is recorded as 4^[10].
• Potency-directed similarity searching using support vector machines.'s publication date is recorded as +2012-05-01T00:00:00Z^[11].
• Potency-directed similarity searching using support vector machines.'s main subject is recorded as support vector machine^[12].
• Potency-directed similarity searching using support vector machines.'s PMC publication ID is recorded as 3341252^[13].
• Potency-directed similarity searching using support vector machines.'s published in is recorded as Journal of Cheminformatics^[14].
• Potency-directed similarity searching using support vector machines.'s title is recorded as Potency-directed similarity searching using support vector machines.^[15].
• Potency-directed similarity searching using support vector machines.'s cites work is recorded as Ranking chemical structures for drug discovery: a new machine learning approach^[16].
• Potency-directed similarity searching using support vector machines.'s cites work is recorded as Current trends in ligand-based virtual screening: molecular representations, data mining methods, new application areas, and performance evaluation^[17].
• Potency-directed similarity searching using support vector machines.'s cites work is recorded as Molecular similarity analysis in virtual screening: foundations, limitations and novel approaches^[18].
• Potency-directed similarity searching using support vector machines.'s cites work is recorded as Searching for target-selective compounds using different combinations of multiclass support vector machine ranking methods, kernel functions, and fingerprint descriptors^[19].
• Potency-directed similarity searching using support vector machines.'s cites work is recorded as Virtual screening of molecular databases using a support vector machine.^[20].
• Potency-directed similarity searching using support vector machines.'s cites work is recorded as Potency-directed similarity searching using support vector machines^[21].
• Potency-directed similarity searching using support vector machines.'s Dimensions publication ID is recorded as 1014041709^[22].
• Potency-directed similarity searching using support vector machines.'s copyright status is recorded as copyrighted^[23].
• Potency-directed similarity searching using support vector machines.'s DBLP publication ID is recorded as journals/jcheminf/HeikampWB12^[24].

Body

Designation and Status

Potency-directed similarity searching using support vector machines.'s instance of is recorded as scholarly conference abstract^[5].