Results 151 to 160 of about 615,294 (304)

Special Issue "25 Anniversary of Bioinformatics of Genome Regulation and Structure Conference Series". [PDF]

Int J Mol Sci
Orlov YL, Orlova NG, Chen M, Kolchanov NA.   +3 more
europepmc   +1 more source

Artificial Intelligence‐Driven Nanoarchitectonics for Smart Targeted Drug Delivery

Advanced Materials, EarlyView.
This perspective introduces an artificial intelligence (AI)‐driven nanoarchitectonics framework for targeted drug delivery, combining database‐guided nanocarrier design, machine learning (ML)‐assisted surface engineering with a designed targeting system, and in silico modeling for dynamic optimization.
Hayeon Bae, Hyunsub Ji, Konstantin Konstantinov, Ronald Sluyter, Katsuhiko Ariga, Yong Ho Kim, Jung Ho Kim   +6 more
wiley   +1 more source

Bioinformatics to be nurtured online [PDF]

, 2001
Declan Butler
openalex   +1 more source

Thermal Annealing Enhances Piezoelectricity and Regenerative Potential of PVDF‐TrFE Nanofiber Scaffolds

Advanced Materials Technologies, EarlyView.
Thermal annealing improves the structure, stiffness, and piezoelectric properties of poly(vinylidene flouride‐trifluoroethylene) (PVDF‐TrFE) nanofiber scaffolds. These annealed scaffolds promote Schwann cell proliferation and matrix remodeling in vitro and demonstrate in vivo biocompatibility.
Maksym Krutko, Holly M. Poling, Maulee Sheth, Supasek Kongsomros, Andrew E. Bryan, Manju Sharma, Akaljot Singh, Hasan A. Reza, Kathryn A. Wikenheiser‐Brokamp, Takanori Takebe, Michael A. Helmrath, Greg M. Harris, Leyla Esfandiari   +12 more
wiley   +1 more source

Unlocking the African bioeconomy and strengthening biodiversity conservation through genomics and bioinformatics. [PDF]

NPJ Biodivers
Hayah I, Ezebuiro V, Kagame SP, Kuja JO, Waruhiu C, Nesengani LT, Mdyogolo S, Molotsi AH, Abechi P, Abushady AM, Amor N, Andika B, Barakat A, Beedessee G, Botes M, David X, Ebuzoeme N, Edea Z, El Allali A, Elekima OP, Elsherif AK, Gaouar SBS, Gebre YG, Georgewill OA, Hadjeras L, Hassan MA, Hijri M, Houaga I, Ideozu JE, Igoh M, Iwundu MP, Jaffer Ali SAS, Jaouani A, Kermouni Serradj AM, Khedim R, Kilian M, Kivuva DM, Knidiri M, Koukoura KK, Kwasi ER, Labuschagne K, Mafwila AL, Mensah I, Modebelu U, Mokgokong P, Mokhtar MM, Muzemil S, Nigussie H, Ntui VO, Ogwang J, Olivier NA, Olufowobi O, Omotoriogun TC, Folarin O, Eromon P, Orina J, Ouardi F, Parish T, Peter M, Potgieter J, Radouani F, Ramantswana M, Reda SRA, Salifu SP, Schwartz SB, Shabangu N, Sharaf A, Siminialayi IM, Smith RM, Taniguchi H, Tari-Ukuta PM, Tesfaye K, Tmimi FZ, Tonfack LB, Udensi OU, Wambua VW, Wambua S, Were K, Wood TT, Wurdeman BM, Zoclanclounon YAB, Adu AF, Gillis-Harry SL, Opoku NKO, Tshilate TS, Dede S, Minimah SO, Tchiechoua YH, Gisel A, Hamdi C, Mafokwane T, Odogwu BA, Nwachukwu G, Mungloo-Dilmohamud Z, Ghodhbane-Gtari F, Ibeachu C, Zipfel RD, Madu WC, Okorocha JC, Masebe T, Borgbara K, Goosen W, Fortuin S, Nel Van Zyl K, Mbhele O, Happi A, Happi C, Mapholi N, Osuji JO, Muigai AW, Ebenezer TE, Badaoui B.   +111 more
europepmc   +1 more source

Bioinformatics: Use in Bacterial Vaccine Discovery [PDF]

, 2001
Robert J. Zagursky, David H. Russell
openalex   +1 more source

Disrupting J‐Aggregation in Triazatruxene Dimers to Develop Responsive Luminescent Inks for Anti‐Counterfeiting Applications

Advanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study investigates the stimulus‐responsive behavior of trialkylated triazatruxene dimers for third‐generation luminescent security inks. In particular, the derivative with flexible dodecyl chains displays high‐contrast, reversible color changes upon heating or shear, driven by liquid crystalline phase transitions and involving J ...
Raúl Martín, Marcelo Echeverri, Francisco González, Alicia de Andrés, M. Carmen Ruiz Delgado, Alberto Concellón, José Luis Serrano, Berta Gómez‐Lor   +7 more
wiley   +1 more source

Evolution, Bioinformatics and Evolutionary Bioinformatics Online

Evolutionary Bioinformatics, 2006
Mark Pagel
doaj  

AdDeam: a fast and scalable tool for estimating and clustering reference-level damage profiles. [PDF]

Bioinformatics
Kraft L, Korneliussen TS, Sackett PW, Renaud G.   +3 more
europepmc   +1 more source

RADAR: Raman Spectral Analysis Using Deep Learning for Artifact Removal

Advanced Optical Materials, EarlyView.
RADAR is introduced, two lightweight deep learning models for artifact removal, capable of simultaneous denoising and correction of Raman spectra, significantly accelerating high‐quality data acquisition. This work advances Raman spectroscopy as a faster, more reliable tool for chemical analysis, with broad applications in materials science, biomedical
Joel Sjöberg, Nicoleta Siminea, Andrei Păun, Adrian Lita, Mioara Larion, Ion Petre   +5 more
wiley   +1 more source