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Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database.

Nanomaterials (Basel, Switzerland)

Kochev N, Jeliazkova N, Paskaleva V, Tancheva G, Iliev L, Ritchie P, Jeliazkov V.
PMID: 32987901
Nanomaterials (Basel). 2020 Sep 24;10(10). doi: 10.3390/nano10101908.

The field of nanoinformatics is rapidly developing and provides data driven solutions in the area of nanomaterials (NM) safety. Safe by Design approaches are encouraged and promoted through regulatory initiatives and multiple scientific projects. Experimental data is at the...

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Kochev N, Jeliazkova N, Paskaleva V, et al. Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database. Nanomaterials (Basel). 2020;10(10)doi: 10.3390/nano10101908.
Kochev, N., Jeliazkova, N., Paskaleva, V., Tancheva, G., Iliev, L., Ritchie, P., & Jeliazkov, V. (2020). Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database. Nanomaterials (Basel, Switzerland), 10(10), . https://doi.org/10.3390/nano10101908
Kochev, Nikolay, et al. "Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database." Nanomaterials (Basel, Switzerland) vol. 10,10 (2020). doi: https://doi.org/10.3390/nano10101908
Kochev N, Jeliazkova N, Paskaleva V, Tancheva G, Iliev L, Ritchie P, Jeliazkov V. Your Spreadsheets Can Be FAIR: A Tool and FAIRification Workflow for the eNanoMapper Database. Nanomaterials (Basel). 2020 Sep 24;10(10). doi: 10.3390/nano10101908. PMID: 32987901; PMCID: PMC7601422.
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A bivalent, bispecific Dab-Fc antibody molecule for dual targeting of HER2 and HER3.

mAbs

Rau A, Kocher K, Rommel M, Kühl L, Albrecht M, Gotthard H, Aschmoneit N, Noll B, Olayioye MA, Kontermann RE, Seifert O.
PMID: 33752566
MAbs. 2021 Jan-Dec;13(1):1902034. doi: 10.1080/19420862.2021.1902034.

Dual targeting of surface receptors with bispecific antibodies is attracting increasing interest in cancer therapy. Here, we present a novel bivalent and bispecific antagonistic molecule (Dab-Fc) targeting human epidermal growth factors 2 and 3 (HER2 and HER3) derived from...

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Rau A, Kocher K, Rommel M, et al. A bivalent, bispecific Dab-Fc antibody molecule for dual targeting of HER2 and HER3. MAbs. 2021;13(1):1902034doi: 10.1080/19420862.2021.1902034.
Rau, A., Kocher, K., Rommel, M., Kühl, L., Albrecht, M., Gotthard, H., Aschmoneit, N., Noll, B., Olayioye, M. A., Kontermann, R. E., & Seifert, O. (2021). A bivalent, bispecific Dab-Fc antibody molecule for dual targeting of HER2 and HER3. mAbs, 13(1), 1902034. https://doi.org/10.1080/19420862.2021.1902034
Rau, Alexander, et al. "A bivalent, bispecific Dab-Fc antibody molecule for dual targeting of HER2 and HER3." mAbs vol. 13,1 (2021): 1902034. doi: https://doi.org/10.1080/19420862.2021.1902034
Rau A, Kocher K, Rommel M, Kühl L, Albrecht M, Gotthard H, Aschmoneit N, Noll B, Olayioye MA, Kontermann RE, Seifert O. A bivalent, bispecific Dab-Fc antibody molecule for dual targeting of HER2 and HER3. MAbs. 2021 Jan-Dec;13(1):1902034. doi: 10.1080/19420862.2021.1902034. PMID: 33752566; PMCID: PMC7993124.
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Ultrafast Quenching of Excitons in the Zn.

Nanomaterials (Basel, Switzerland)

Cherepanov D, Kostrov A, Gostev F, Shelaev I, Motyakin M, Kochev S, Kabachii Y, Nadtochenko V.
PMID: 34835771
Nanomaterials (Basel). 2021 Nov 09;11(11). doi: 10.3390/nano11113007.

For the first time, a specific time-delayed peak was registered in the femtosecond transient absorption (TA) spectra of Zn

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Cherepanov D, Kostrov A, Gostev F, et al. Ultrafast Quenching of Excitons in the Zn. Nanomaterials (Basel). 2021;11(11)doi: 10.3390/nano11113007.
Cherepanov, D., Kostrov, A., Gostev, F., Shelaev, I., Motyakin, M., Kochev, S., Kabachii, Y., & Nadtochenko, V. (2021). Ultrafast Quenching of Excitons in the Zn. Nanomaterials (Basel, Switzerland), 11(11), . https://doi.org/10.3390/nano11113007
Cherepanov, Dmitry, et al. "Ultrafast Quenching of Excitons in the Zn." Nanomaterials (Basel, Switzerland) vol. 11,11 (2021). doi: https://doi.org/10.3390/nano11113007
Cherepanov D, Kostrov A, Gostev F, Shelaev I, Motyakin M, Kochev S, Kabachii Y, Nadtochenko V. Ultrafast Quenching of Excitons in the Zn. Nanomaterials (Basel). 2021 Nov 09;11(11). doi: 10.3390/nano11113007. PMID: 34835771; PMCID: PMC8618633.
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The eNanoMapper database for nanomaterial safety information.

Beilstein journal of nanotechnology

Jeliazkova N, Chomenidis C, Doganis P, Fadeel B, Grafström R, Hardy B, Hastings J, Hegi M, Jeliazkov V, Kochev N, Kohonen P, Munteanu CR, Sarimveis H, Smeets B, Sopasakis P, Tsiliki G, Vorgrimmler D, Willighagen E.
PMID: 26425413
Beilstein J Nanotechnol. 2015 Jul 27;6:1609-34. doi: 10.3762/bjnano.6.165. eCollection 2015.

BACKGROUND: The NanoSafety Cluster, a cluster of projects funded by the European Commision, identified the need for a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs). Ontologies, open standards, and interoperable designs were envisioned to empower a...

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Jeliazkova N, Chomenidis C, Doganis P, et al. The eNanoMapper database for nanomaterial safety information. Beilstein J Nanotechnol. 2015;6:1609-34doi: 10.3762/bjnano.6.165.
Jeliazkova, N., Chomenidis, C., Doganis, P., Fadeel, B., Grafström, R., Hardy, B., Hastings, J., Hegi, M., Jeliazkov, V., Kochev, N., Kohonen, P., Munteanu, C. R., Sarimveis, H., Smeets, B., Sopasakis, P., Tsiliki, G., Vorgrimmler, D., & Willighagen, E. (2015). The eNanoMapper database for nanomaterial safety information. Beilstein journal of nanotechnology, 61609-34. https://doi.org/10.3762/bjnano.6.165
Jeliazkova, Nina, et al. "The eNanoMapper database for nanomaterial safety information." Beilstein journal of nanotechnology vol. 6 (2015): 1609-34. doi: https://doi.org/10.3762/bjnano.6.165
Jeliazkova N, Chomenidis C, Doganis P, Fadeel B, Grafström R, Hardy B, Hastings J, Hegi M, Jeliazkov V, Kochev N, Kohonen P, Munteanu CR, Sarimveis H, Smeets B, Sopasakis P, Tsiliki G, Vorgrimmler D, Willighagen E. The eNanoMapper database for nanomaterial safety information. Beilstein J Nanotechnol. 2015 Jul 27;6:1609-34. doi: 10.3762/bjnano.6.165. eCollection 2015. PMID: 26425413; PMCID: PMC4578352.
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Elastic and inelastic alpha scattering on 36Ar at E alpha =40, 48, and 54 MeV.

Physical review. C, Nuclear physics

Abele H, Eversheim PD, Hinterberger F, Hoyler F, Kocher K, Mohr P, Neu R, Staudt G.
PMID: 9967740
Phys Rev C Nucl Phys. 1992 Jan;45(1):123-131. doi: 10.1103/physrevc.45.123.

No abstract available.

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Abele H, Eversheim PD, Hinterberger F, et al. Elastic and inelastic alpha scattering on 36Ar at E alpha =40, 48, and 54 MeV. Phys Rev C Nucl Phys. 1992;45(1):123-131doi: 10.1103/physrevc.45.123.
Abele, H., Eversheim, P. D., Hinterberger, F., Hoyler, F., Kocher, K., Mohr, P., Neu, R., & Staudt, G. (1992). Elastic and inelastic alpha scattering on 36Ar at E alpha =40, 48, and 54 MeV. Physical review. C, Nuclear physics, 45(1), 123-131. https://doi.org/10.1103/physrevc.45.123
Abele, et al. "Elastic and inelastic alpha scattering on 36Ar at E alpha =40, 48, and 54 MeV." Physical review. C, Nuclear physics vol. 45,1 (1992): 123-131. doi: https://doi.org/10.1103/physrevc.45.123
Abele H, Eversheim PD, Hinterberger F, Hoyler F, Kocher K, Mohr P, Neu R, Staudt G. Elastic and inelastic alpha scattering on 36Ar at E alpha =40, 48, and 54 MeV. Phys Rev C Nucl Phys. 1992 Jan;45(1):123-131. doi: 10.1103/physrevc.45.123. PMID: 9967740.
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Towards FAIR nanosafety data.

Nature nanotechnology

Jeliazkova N, Apostolova MD, Andreoli C, Barone F, Barrick A, Battistelli C, Bossa C, Botea-Petcu A, Châtel A, De Angelis I, Dusinska M, El Yamani N, Gheorghe D, Giusti A, Gómez-Fernández P, Grafström R, Gromelski M, Jacobsen NR, Jeliazkov V, Jensen KA, Kochev N, Kohonen P, Manier N, Mariussen E, Mech A, Navas JM, Paskaleva V, Precupas A, Puzyn T, Rasmussen K, Ritchie P, Llopis IR, Rundén-Pran E, Sandu R, Shandilya N, Tanasescu S, Haase A, Nymark P.
PMID: 34017099
Nat Nanotechnol. 2021 Jun;16(6):644-654. doi: 10.1038/s41565-021-00911-6. Epub 2021 May 20.

Nanotechnology is a key enabling technology with billions of euros in global investment from public funding, which include large collaborative projects that have investigated environmental and health safety aspects of nanomaterials, but the reuse of accumulated data is clearly...

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Jeliazkova N, Apostolova MD, Andreoli C, et al. Towards FAIR nanosafety data. Nat Nanotechnol. 2021;16(6):644-654doi: 10.1038/s41565-021-00911-6.
Jeliazkova, N., Apostolova, M. D., Andreoli, C., Barone, F., Barrick, A., Battistelli, C., Bossa, C., Botea-Petcu, A., Châtel, A., De Angelis, I., Dusinska, M., El Yamani, N., Gheorghe, D., Giusti, A., Gómez-Fernández, P., Grafström, R., Gromelski, M., Jacobsen, N. R., Jeliazkov, V., Jensen, K. A., Kochev, N., Kohonen, P., Manier, N., Mariussen, E., Mech, A., Navas, J. M., Paskaleva, V., Precupas, A., Puzyn, T., Rasmussen, K., Ritchie, P., Llopis, I. R., Rundén-Pran, E., Sandu, R., Shandilya, N., Tanasescu, S., Haase, A., & Nymark, P. (2021). Towards FAIR nanosafety data. Nature nanotechnology, 16(6), 644-654. https://doi.org/10.1038/s41565-021-00911-6
Jeliazkova, Nina, et al. "Towards FAIR nanosafety data." Nature nanotechnology vol. 16,6 (2021): 644-654. doi: https://doi.org/10.1038/s41565-021-00911-6
Jeliazkova N, Apostolova MD, Andreoli C, Barone F, Barrick A, Battistelli C, Bossa C, Botea-Petcu A, Châtel A, De Angelis I, Dusinska M, El Yamani N, Gheorghe D, Giusti A, Gómez-Fernández P, Grafström R, Gromelski M, Jacobsen NR, Jeliazkov V, Jensen KA, Kochev N, Kohonen P, Manier N, Mariussen E, Mech A, Navas JM, Paskaleva V, Precupas A, Puzyn T, Rasmussen K, Ritchie P, Llopis IR, Rundén-Pran E, Sandu R, Shandilya N, Tanasescu S, Haase A, Nymark P. Towards FAIR nanosafety data. Nat Nanotechnol. 2021 Jun;16(6):644-654. doi: 10.1038/s41565-021-00911-6. Epub 2021 May 20. PMID: 34017099.
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Polyaniline/Platinum Composite Cathode Catalysts Towards Durable Polymer Electrolyte Membrane Fuel Cells.

ChemistryOpen

Kocher K, Hacker V.
PMID: 33194529
ChemistryOpen. 2020 Nov 05;9(11):1109-1112. doi: 10.1002/open.202000119. eCollection 2020 Nov.

Polymer stabilization proved to be a promising approach to increase the catalytic performance of common platinum/carbon based cathode catalysts (Pt/C) used in polymer electrolyte membrane fuel cells (PEMFCs). Platinum and polyaniline composite catalysts (Pt/C/PANI) were prepared by combining chemical...

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Kocher K, Hacker V. Polyaniline/Platinum Composite Cathode Catalysts Towards Durable Polymer Electrolyte Membrane Fuel Cells. ChemistryOpen. 2020;9(11):1109-1112doi: 10.1002/open.202000119.
Kocher, K., & Hacker, V. (2020). Polyaniline/Platinum Composite Cathode Catalysts Towards Durable Polymer Electrolyte Membrane Fuel Cells. ChemistryOpen, 9(11), 1109-1112. https://doi.org/10.1002/open.202000119
Kocher, K, and Hacker, V. "Polyaniline/Platinum Composite Cathode Catalysts Towards Durable Polymer Electrolyte Membrane Fuel Cells." ChemistryOpen vol. 9,11 (2020): 1109-1112. doi: https://doi.org/10.1002/open.202000119
Kocher K, Hacker V. Polyaniline/Platinum Composite Cathode Catalysts Towards Durable Polymer Electrolyte Membrane Fuel Cells. ChemistryOpen. 2020 Nov 05;9(11):1109-1112. doi: 10.1002/open.202000119. eCollection 2020 Nov. PMID: 33194529; PMCID: PMC7643333.
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CADASTER QSPR Models for Predictions of Melting and Boiling Points of Perfluorinated Chemicals.

Molecular informatics

Bhhatarai B, Teetz W, Liu T, Öberg T, Jeliazkova N, Kochev N, Pukalov O, Tetko IV, Kovarich S, Papa E, Gramatica P.
PMID: 27466773
Mol Inform. 2011 Mar 14;30(2):189-204. doi: 10.1002/minf.201000133. Epub 2011 Mar 17.

Quantitative structure property relationship (QSPR) studies on per- and polyfluorinated chemicals (PFCs) on melting point (MP) and boiling point (BP) are presented. The training and prediction chemicals used for developing and validating the models were selected from Syracuse PhysProp...

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Bhhatarai B, Teetz W, Liu T, et al. CADASTER QSPR Models for Predictions of Melting and Boiling Points of Perfluorinated Chemicals. Mol Inform. 2011;30(2):189-204doi: 10.1002/minf.201000133.
Bhhatarai, B., Teetz, W., Liu, T., Öberg, T., Jeliazkova, N., Kochev, N., Pukalov, O., Tetko, I. V., Kovarich, S., Papa, E., & Gramatica, P. (2011). CADASTER QSPR Models for Predictions of Melting and Boiling Points of Perfluorinated Chemicals. Molecular informatics, 30(2), 189-204. https://doi.org/10.1002/minf.201000133
Bhhatarai, Barun, et al. "CADASTER QSPR Models for Predictions of Melting and Boiling Points of Perfluorinated Chemicals." Molecular informatics vol. 30,2 (2011): 189-204. doi: https://doi.org/10.1002/minf.201000133
Bhhatarai B, Teetz W, Liu T, Öberg T, Jeliazkova N, Kochev N, Pukalov O, Tetko IV, Kovarich S, Papa E, Gramatica P. CADASTER QSPR Models for Predictions of Melting and Boiling Points of Perfluorinated Chemicals. Mol Inform. 2011 Mar 14;30(2):189-204. doi: 10.1002/minf.201000133. Epub 2011 Mar 17. PMID: 27466773.
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Towards FAIR nanosafety data.

Nature nanotechnology

Jeliazkova N, Apostolova MD, Andreoli C, Barone F, Barrick A, Battistelli C, Bossa C, Botea-Petcu A, Châtel A, De Angelis I, Dusinska M, El Yamani N, Gheorghe D, Giusti A, Gómez-Fernández P, Grafström R, Gromelski M, Jacobsen NR, Jeliazkov V, Jensen KA, Kochev N, Kohonen P, Manier N, Mariussen E, Mech A, Navas JM, Paskaleva V, Precupas A, Puzyn T, Rasmussen K, Ritchie P, Llopis IR, Rundén-Pran E, Sandu R, Shandilya N, Tanasescu S, Haase A, Nymark P.
PMID: 34017099
Nat Nanotechnol. 2021 Jun;16(6):644-654. doi: 10.1038/s41565-021-00911-6. Epub 2021 May 20.

Nanotechnology is a key enabling technology with billions of euros in global investment from public funding, which include large collaborative projects that have investigated environmental and health safety aspects of nanomaterials, but the reuse of accumulated data is clearly...

Cite
Jeliazkova N, Apostolova MD, Andreoli C, et al. Towards FAIR nanosafety data. Nat Nanotechnol. 2021;16(6):644-654doi: 10.1038/s41565-021-00911-6.
Jeliazkova, N., Apostolova, M. D., Andreoli, C., Barone, F., Barrick, A., Battistelli, C., Bossa, C., Botea-Petcu, A., Châtel, A., De Angelis, I., Dusinska, M., El Yamani, N., Gheorghe, D., Giusti, A., Gómez-Fernández, P., Grafström, R., Gromelski, M., Jacobsen, N. R., Jeliazkov, V., Jensen, K. A., Kochev, N., Kohonen, P., Manier, N., Mariussen, E., Mech, A., Navas, J. M., Paskaleva, V., Precupas, A., Puzyn, T., Rasmussen, K., Ritchie, P., Llopis, I. R., Rundén-Pran, E., Sandu, R., Shandilya, N., Tanasescu, S., Haase, A., & Nymark, P. (2021). Towards FAIR nanosafety data. Nature nanotechnology, 16(6), 644-654. https://doi.org/10.1038/s41565-021-00911-6
Jeliazkova, Nina, et al. "Towards FAIR nanosafety data." Nature nanotechnology vol. 16,6 (2021): 644-654. doi: https://doi.org/10.1038/s41565-021-00911-6
Jeliazkova N, Apostolova MD, Andreoli C, Barone F, Barrick A, Battistelli C, Bossa C, Botea-Petcu A, Châtel A, De Angelis I, Dusinska M, El Yamani N, Gheorghe D, Giusti A, Gómez-Fernández P, Grafström R, Gromelski M, Jacobsen NR, Jeliazkov V, Jensen KA, Kochev N, Kohonen P, Manier N, Mariussen E, Mech A, Navas JM, Paskaleva V, Precupas A, Puzyn T, Rasmussen K, Ritchie P, Llopis IR, Rundén-Pran E, Sandu R, Shandilya N, Tanasescu S, Haase A, Nymark P. Towards FAIR nanosafety data. Nat Nanotechnol. 2021 Jun;16(6):644-654. doi: 10.1038/s41565-021-00911-6. Epub 2021 May 20. PMID: 34017099.
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Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Journal of cheminformatics

Sun J, Jeliazkova N, Chupakhin V, Golib-Dzib JF, Engkvist O, Carlsson L, Wegner J, Ceulemans H, Georgiev I, Jeliazkov V, Kochev N, Ashby TJ, Chen H.
PMID: 29086166
J Cheminform. 2017 Jun 14;9(1):41. doi: 10.1186/s13321-017-0222-2.

No abstract available.

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Sun J, Jeliazkova N, Chupakhin V, et al. Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J Cheminform. 2017;9(1):41doi: 10.1186/s13321-017-0222-2.
Sun, J., Jeliazkova, N., Chupakhin, V., Golib-Dzib, J. F., Engkvist, O., Carlsson, L., Wegner, J., Ceulemans, H., Georgiev, I., Jeliazkov, V., Kochev, N., Ashby, T. J., & Chen, H. (2017). Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. Journal of cheminformatics, 9(1), 41. https://doi.org/10.1186/s13321-017-0222-2
Sun, Jiangming, et al. "Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics." Journal of cheminformatics vol. 9,1 (2017): 41. doi: https://doi.org/10.1186/s13321-017-0222-2
Sun J, Jeliazkova N, Chupakhin V, Golib-Dzib JF, Engkvist O, Carlsson L, Wegner J, Ceulemans H, Georgiev I, Jeliazkov V, Kochev N, Ashby TJ, Chen H. Erratum to: ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J Cheminform. 2017 Jun 14;9(1):41. doi: 10.1186/s13321-017-0222-2. PMID: 29086166; PMCID: PMC5471272.
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Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation.

Journal of cheminformatics

Kochev N, Avramova S, Jeliazkova N.
PMID: 30128804
J Cheminform. 2018 Aug 20;10(1):42. doi: 10.1186/s13321-018-0295-6.

Ambit-SMIRKS is an open source software, enabling structure transformation via the SMIRKS language and implemented as an extension of Ambit-SMARTS. As part of the Ambit project it builds on top of The Chemistry Development Kit (The CDK). Ambit-SMIRKS provides...

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Kochev N, Avramova S, Jeliazkova N. Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation. J Cheminform. 2018;10(1):42doi: 10.1186/s13321-018-0295-6.
Kochev, N., Avramova, S., & Jeliazkova, N. (2018). Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation. Journal of cheminformatics, 10(1), 42. https://doi.org/10.1186/s13321-018-0295-6
Kochev, Nikolay, et al. "Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation." Journal of cheminformatics vol. 10,1 (2018): 42. doi: https://doi.org/10.1186/s13321-018-0295-6
Kochev N, Avramova S, Jeliazkova N. Ambit-SMIRKS: a software module for reaction representation, reaction search and structure transformation. J Cheminform. 2018 Aug 20;10(1):42. doi: 10.1186/s13321-018-0295-6. PMID: 30128804; PMCID: PMC6102164.
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ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics.

Journal of cheminformatics

Sun J, Jeliazkova N, Chupakin V, Golib-Dzib JF, Engkvist O, Carlsson L, Wegner J, Ceulemans H, Georgiev I, Jeliazkov V, Kochev N, Ashby TJ, Chen H.
PMID: 28316655
J Cheminform. 2017 Mar 07;9:17. doi: 10.1186/s13321-017-0203-5. eCollection 2017.

Chemogenomics data generally refers to the activity data of chemical compounds on an array of protein targets and represents an important source of information for building

Cite
Sun J, Jeliazkova N, Chupakin V, et al. ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J Cheminform. 2017;9:17doi: 10.1186/s13321-017-0203-5.
Sun, J., Jeliazkova, N., Chupakin, V., Golib-Dzib, J. F., Engkvist, O., Carlsson, L., Wegner, J., Ceulemans, H., Georgiev, I., Jeliazkov, V., Kochev, N., Ashby, T. J., & Chen, H. (2017). ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. Journal of cheminformatics, 917. https://doi.org/10.1186/s13321-017-0203-5
Sun, Jiangming, et al. "ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics." Journal of cheminformatics vol. 9 (2017): 17. doi: https://doi.org/10.1186/s13321-017-0203-5
Sun J, Jeliazkova N, Chupakin V, Golib-Dzib JF, Engkvist O, Carlsson L, Wegner J, Ceulemans H, Georgiev I, Jeliazkov V, Kochev N, Ashby TJ, Chen H. ExCAPE-DB: an integrated large scale dataset facilitating Big Data analysis in chemogenomics. J Cheminform. 2017 Mar 07;9:17. doi: 10.1186/s13321-017-0203-5. eCollection 2017. PMID: 28316655; PMCID: PMC5340785.
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Showing 1 to 12 of 60 entries