2011
DOI: 10.1021/ci1004948
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GPU Accelerated Chemical Similarity Calculation for Compound Library Comparison

Abstract: Chemical similarity calculation plays an important role in compound library design, virtual screening, and “lead” optimization. In this manuscript, we present a novel GPU-accelerated algorithm for all-vs-all Tanimoto matrix calculation and nearest neighbor search. By taking advantage of multi-core GPU architecture and CUDA parallel programming technology, the algorithm is up to 39 times superior to the existing commercial software that runs on CPUs. Because of the utilization of intrinsic GPU instructions, thi… Show more

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Cited by 74 publications
(63 citation statements)
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“…Given that molecule with Caco-2 value less than −0.4 is not permeable, the threshold of Caco-2 permeability was set to −0.4. Database-dependent DL evaluation approach based on Tanimoto coefficient78 was applied and shown as follows.…”
Section: Methodsmentioning
confidence: 99%
“…Given that molecule with Caco-2 value less than −0.4 is not permeable, the threshold of Caco-2 permeability was set to −0.4. Database-dependent DL evaluation approach based on Tanimoto coefficient78 was applied and shown as follows.…”
Section: Methodsmentioning
confidence: 99%
“…Figure 4 is the flowchart for the communications upon similarity calculation between a CPU host and its GPU device. Some GPU-accelerated similarity calculation algorithms have been reported in the last 1 or 2 years [23,34,35], and our algorithm is similar to the "Integer Fingerprint Algorithm on GPUs," reported by Chao et al [34]. The algorithm pseudocode is described as follows:…”
Section: Structural Similarity Measurementmentioning
confidence: 84%
“…In the withdrawn drugs-approved drugs network, such withdrawn drugs that contacted with more than 8 approved drugs were selected for cheminformatics studies, where pairwise fingerprint similarity values would be calculated by Tanimoto coefficient measurements [36, 37]. With the definition by Formula (1), a and b represented occurrences of “1” in binary coded strings i and j , respectively, while c was the occurrence of “1” in the same bit of the two ones.…”
Section: Methodsmentioning
confidence: 99%