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Fingerprint Dive into the research topics where Halima Bensmail is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 4 Similar Profiles
Proteins Engineering & Materials Science
Proteomics Medicine & Life Sciences
Genes Engineering & Materials Science
Computational Biology Medicine & Life Sciences
Feature extraction Engineering & Materials Science
Learning Medicine & Life Sciences
Cluster Analysis Medicine & Life Sciences
Protein Mathematics

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Research Output 1996 2019

  • 792 Citations
  • 14 h-Index
  • 35 Article
  • 18 Conference contribution
  • 3 Chapter
  • 2 Comment/debate

Accurate Prediction for Antibody Resistance of Clinical HIV-1 Isolates

Rawi, R., Mall, R., Shen, C. H., Farney, S. K., Shiakolas, A., Zhou, J., Bensmail, H., Chun, T. W., Doria-Rose, N. A., Lynch, R. M., Mascola, J. R., Kwong, P. D. & Chuang, G. Y., 1 Dec 2019, In : Scientific reports. 9, 1, 14696.

Research output: Contribution to journalArticle

Open Access
HIV-1
Neutralizing Antibodies
Antibodies
Clinical Trials
env Gene Products

Clustme: A visual quality measure for ranking monochrome scatterplots based on cluster patterns

Abbas, M., Aupetit, M., Sedlmair, M. & Bensmail, H., 1 Jan 2019, In : Computer Graphics Forum. 38, 3, p. 225-236 12 p.

Research output: Contribution to journalArticle

Merging
Physical Chemistry
Physical chemistry
machine learning
physical chemistry
Physics
1 Citation (Scopus)

Deepcrystal: A deep learning framework for sequence-based protein crystallization prediction

Elbasir, A., Moovarkumudalvan, B., Kunji, K., Kolatkar, P., Mall, R. & Bensmail, H., 1 Jul 2019, In : Bioinformatics. 35, 13, p. 2216-2225 10 p.

Research output: Contribution to journalArticle

Crystallization
Learning
Proteins
Protein
Prediction
1 Citation (Scopus)

DeepCrystal: A Deep Learning Framework for Sequence-based Protein Crystallization Prediction

Elbasir, A., Moovarkumudalvan, B., Kunji, K., Kolatkar, P., Bensmail, H. & Mall, R., 21 Jan 2019, Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018. Schmidt, H., Griol, D., Wang, H., Baumbach, J., Zheng, H., Callejas, Z., Hu, X., Dickerson, J. & Zhang, L. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 2747-2749 3 p. 8621202. (Proceedings - 2018 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2018).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Crystallization
Learning
Proteins
Diffraction
Crystals